Journal articles on the topic 'Mobile medical device'
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Kadimo, Khutsafalo, Athulang Mutshewa, and Masego B. Kebaetse. "Understanding the role of the bring-your-own-device policy in medical education and healthcare delivery at the University of Botswana’s Faculty of Medicine." Information and Learning Sciences 123, no. 3/4 (January 11, 2022): 199–213. http://dx.doi.org/10.1108/ils-09-2021-0077.
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Purpose Seeking to leverage on benefits of personal mobile device use, medical schools and healthcare facilities are increasingly embracing the use of personal mobile devices for medical education and healthcare delivery through bring-your-own-device (BYOD) policies. However, empirical research findings that could guide the development of BYOD policies are scarce. Available research is dominated by studies that were guided by technocentric approaches, hence seemingly overlooking the complexities of the interactions of actors in mobile device technologies implementation. The purpose of this study was to use the actor–network theory to explore the potential role of a BYOD policy at the University of Botswana’s Faculty of Medicine. Design/methodology/approach Purposive sampling was used to select the participants and interviews, focus group discussions, observations and document analysis were used to collect data. Data were collected from 27 participants and analysed using grounded theory techniques. Emerging themes were continually compared and contrasted with incoming data to create broad themes and sub-themes and to establish relationships or patterns from the data. Findings The results suggest that the potential roles for BYOD policy include promoting appropriate mobile device use, promoting equitable access to mobile devices and content, and integrating mobile devices into medical education, healthcare delivery and other institutional processes. Research limitations/implications BYOD policy could be conceptualized and researched as a “script” that binds actors/actants into a “network” of constituents (with shared interests) such as medical schools and healthcare facilities, mobile devices, internet/WiFi, computers, software, computer systems, medical students, clinical teachers or doctors, nurses, information technology technicians, patients, curriculum, information sources or content, classrooms, computer labs and infections. Practical implications BYOD is a policy that seeks to represent the interests (presents as a solution to their problems) of the key stakeholders such as medical schools, healthcare facilities and mobile device users. BYOD is introduced in medical schools and healthcare facilities to promote equitable access to mobile devices and content, appropriate mobile device use and ensure distribution of liability between the mobile device users and the institution and address the implication of mobile device use in teaching and learning. Originality/value The BYOD policy is a comprehensive solution that transcends other institutional policies and regulations to fully integrate mobile devices in medical education and healthcare delivery.
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Jahn, Haiko Kurt, Ingo Henry Johannes Jahn, Wilhelm Behringer, Mark D. Lyttle, and Damian Roland. "A survey of mHealth use from a physician perspective in paediatric emergency care in the UK and Ireland." European Journal of Pediatrics 180, no. 8 (March 25, 2021): 2409–18. http://dx.doi.org/10.1007/s00431-021-04023-0.
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Abstract There has been a drive towards increased digitalisation in healthcare. The aim was to provide a snapshot of current apps, instant messaging, and smartphone photography use in paediatric emergency care. A web-based self-report questionnaire was performed. Individual physicians working in paediatric emergency care recorded their personal practice. One hundred ninety-eight medical doctors completed the survey. Eight percent of respondents had access to institutional mobile devices to run medical apps. Eighty-six percent of respondents used medical apps on their personal mobile device, with 78% using Apple iOS devices. Forty-seven percent of respondents used formulary apps daily. Forty-nine percent of respondents had between 1–5 medical apps on their personal mobile device. Respondents who used medical apps had a total of 845 medical apps installed on their personal device, accounted for by 56 specific apps. The British National Formulary (BNF/BNFc) app was installed on the personal mobile device of 96% of respondents that use medical apps. Forty percent of respondents had patient confidentiality concerns when using medical apps. Thirty-eight percent of respondents have used consumer instant messaging services, 6% secure specialist messaging services, and 29% smartphone photography when seeking patient management advice. Conclusion App use on the personal mobile devices, in the absence of access to institutional devices, was widespread, especially the use of a national formulary app. Instant messaging and smartphone photography were less common. A strategic decision has to be made to either provide staff with institutional devices or use software solutions to address data governance concerns when using personal devices. What is Known:• mHealth use by junior doctors and medical students is widespread.• Clinicians’ use of instant messaging apps such as WhatsApp is the widespread in the UK and Ireland, in the absence of alternatives. What is New:• Personal mobile device use was widespread in the absence of alternatives, with the British National Formulary nearly universally downloaded to physicians’ personal mobile devices.• A third of respondents used instant messaging and smartphone photography on their personal mobile device when seeking patient management advice from other teams in the absence of alternatives.
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Wang, Yaozong. "Risk Analysis and Countermeasures for Wearable Mobile Medical Devices." Advances in Economics, Management and Political Sciences 6, no. 1 (April 27, 2023): 237–42. http://dx.doi.org/10.54254/2754-1169/6/20220211.
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With peoples attention to health, wearable mobile medical devices have gradually entered people's vision in recent years. With its convenient and fast functions, it is expected to im-prove the current medical environment. A wearable mobile health device is a portable de-vice that is worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are not only hardware devices but also perform powerful functions through software support, data interaction, and cloud interaction. Wearable devices will bring great changes to our lives and perceptions. This chapter will explain the technology, development, device form, market performance, and other aspects of wearable devices.
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Moorman, Bridget A., and Richard A. Cockle. "Medical Device Integration Using Mobile Telecommunications Infrastructure." Biomedical Instrumentation & Technology 47, no. 3 (May 1, 2013): 224–32. http://dx.doi.org/10.2345/0899-8205-47.3.224.
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Kim, Jeong-Heon, Seung-Chul Lee, Boon-Giin Lee, and Wan-Young Chung. "Mobile Healthcare System Based on Bluetooth Medical Device." Journal of Sensor Science and Technology 21, no. 4 (July 31, 2012): 241–48. http://dx.doi.org/10.5369/jsst.2012.21.4.241.
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Mohd Fairuz, Fadlin Amira, Rania Hussein Al Ashwal, and Maheza Irna Mohamad Salim. "MediLog: A Pilot Study of Online Management System for Medical Device Status and Loan." Journal of Human Centered Technology 3, no. 1 (February 6, 2024): 29–39. http://dx.doi.org/10.11113/humentech.v3n1.67.
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Malaysia's medical device industry is experiencing significant growth, with 309,829 devices procured at a cost of RM 7.78 billion and actively utilized in public hospitals nationwide. This surge highlights the need for an advanced medical device management system to efficiently handle the life cycle of these devices to ensure optimal utilization and streamline operations. Other proposed technological solutions like RFID, RTLS, and infrared tags aim to address these challenges, but their high installation costs pose barriers, especially for government hospitals. To overcome these obstacles, this pilot study advocates for a mobile application as a cost-effective alternative for comprehensive medical data management. The proposed application, developed using MIT Apps, capitalizes on portability, ease of management, and the multifunctionality of mobile platforms. A key feature of the application is the barcode scanner, widely employed across industries for enhanced data capture efficiency. The Real-time Database is integrated into the project, facilitating the swift and accurate storage of medical device information. In essence, the mobile application prototype provides a practical solution to the limitations of manual data management in the biomedical department. Leveraging MIT Apps and incorporating features like the barcode scanner and Real-time Database, the application streamlines the updating of machine details, ensuring users access precise and current information. This approach promotes efficiency, accuracy, and effectiveness in medical device management within the healthcare system.
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Wang, Chen, Wenying Zheng, Sai Ji, Qi Liu, and Anxi Wang. "Identity-Based Fast Authentication Scheme for Smart Mobile Devices in Body Area Networks." Wireless Communications and Mobile Computing 2018 (August 5, 2018): 1–7. http://dx.doi.org/10.1155/2018/4028196.
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Smart mobile devices are one of the core components of the wireless body area networks (WBANs). These devices shoulder the important task of collecting, integrating, and transmitting medical data. When a personal computer collects information from these devices, it needs to authenticate the identity of them. Some effective schemes have been put forward to the device authentication in WBANs. However, few researchers have studied the WBANs device authentication in emergency situations. In this paper, we present a novel system named emergency medical system without the assistance of doctors. Based on the system, we propose an identity-based fast authentication scheme for smart mobile devices in WBANs. The scheme can shorten the time of device authentication in an emergency to achieve fast authentication. The analysis of this paper proves the security and efficiency of the proposed scheme.
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Vasanthakumaran, Tamilarasy. "Mobile use, stress, sleep disturbances, and symptoms of depression in the medical profession: a cross-sectional study." International Journal Of Community Medicine And Public Health 5, no. 8 (July 23, 2018): 3345. http://dx.doi.org/10.18203/2394-6040.ijcmph20183059.
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Background: With the use of mobile phones increasing in the current generation, it is vital to analyze its negative effects on both mental and physical health.Methods: A questionnaire was given to 120 participants both studying and working in the medical profession. Assessment of the correlation between the use of their mobile device and health was made with mobile phone variables and mental health outcomes (including sleep disturbance, stress and depression). The Pittsburgh Sleep Quality Index (PSQI), Perceived Stress Scale (PSS) and the Centre for Epidemiologic Studies Depression Scale (CES-D) were the scales use to assess these correlations.Results: Results showed a correlation between the hours of use on mobile devices and health aspects. Among the study population, 89.1% owned a single mobile device and 10.9% owned more than one mobile phone. Daily use among these individuals varied from 30 minutes to over 5 hours of use per day. Features used on mobile phones were most commonly communication (94.1%), Internet (92.4%) and social media (90.8%).Conclusions: Statistically significant correlation is seen between mobile phone usage and stress, sleep disturbance and symptoms of depression.
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Gogolin, Greg, and Erin Gogolin. "The Use of Embedded Mobile, RFID, Location Based Services, and Augmented Reality in Mobile Applications." International Journal of Handheld Computing Research 8, no. 1 (January 2017): 42–52. http://dx.doi.org/10.4018/ijhcr.2017010104.
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The proliferation of mobile devices such as smart phones and other handheld appliances has stimulated the development of a broad range of functionality, including medical, retail, gaming, and personal applications. Technology that has been leveraged to enable many of these uses includes embedded mobile, radio frequency identification, location based services, and augmented reality. Embedded mobile refers to preprogrammed tasks that are performed on a mobile device. Personal care and monitoring is one of the most common uses of embedded mobile. RFID involves communication between a tag and a reader. Mobile RFID extends the technology by tagging the mobile device with an RFID tag to perform tasks on the device. Near field communication is frequently utilized in mobile payment systems. Advertisers find this of significant use in focusing advertisements based on the location of an individual. Augmented reality involves the use of computer generated or enhanced sensory input such as audio and visual components to enhance the perception of reality.
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Maassen, Oliver, Sebastian Fritsch, Julia Gantner, Saskia Deffge, Julian Kunze, Gernot Marx, and Johannes Bickenbach. "Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey." Journal of Medical Internet Research 22, no. 12 (December 21, 2020): e23955. http://dx.doi.org/10.2196/23955.
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Background The use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care. Objective Therefore, we aimed to examine the status quo of physicians’ mobile device usage and concrete requirements and their future expectations of how mobile devices can be used. Methods We performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites. Results A total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop computers. Conclusions Physicians in German university hospitals have a high technical affinity and positive attitude toward the widespread implementation of mobile devices in clinical care. They are willing to use official mobile devices in clinical practice for basic and advanced mobile health uses. Thus, the reason for the low usage is not a lack of willingness of the potential users. Challenges that hinder the wider adoption of mobile devices might be regulatory, financial and organizational issues, and missing interoperability standards of clinical information systems, but also a shortage of areas of application in which workflows are adapted for (small) mobile devices.
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Lee, Duck Hee, Ahmed Fazle Rabbi, Noah Root, Reza Fazel-Rezai, Jaesoon Choi, Pablo de León, and Joshua Wynne. "A Heart Monitoring System for a Mobile Device." International Journal of Handheld Computing Research 3, no. 4 (October 2012): 22–39. http://dx.doi.org/10.4018/jhcr.2012100102.
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There have been major advances in research and development of devices for the diagnosis of patients in the medical field. A light and portable wireless system to monitor human physiological signals has been always a medical personnel’s dream. An e-health monitoring system is a widely used noninvasive diagnosis tool for an ambulatory patient who may be at risk from latent life threatening cardiac abnormalities. The authors proposed a high performance and intelligent wireless measuring e-health monitoring system for a mobile device that is characterized by the small sized and low power consumption. The hardware system consists of an one-chip microcontroller (Atmega 128L), a wireless module, and electrocardigram (ECG) signal preprocessing including filtering, power noise canceling, and level shifting. The software utilizes a recursive filter and preprocessing algorithm to detect ECG signal parameters, i.e., QRS-complex, Q-R-T points, HR, and QT-interval. To easily interface with a mobile device, an analyzer program operates on a Windows mobile OS. This paper described the system that was developed and successfully tested for a wireless transmission of ECG signals to a mobile device.
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Beamish, Nicola, Jane Fisher, and Heather Rowe. "Parents’ use of mobile computing devices, caregiving and the social and emotional development of children: a systematic review of the evidence." Australasian Psychiatry 27, no. 2 (September 20, 2018): 132–43. http://dx.doi.org/10.1177/1039856218789764.
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Objectives: Mobile device use is a rapidly growing, socially acceptable interactional habit. The impact of mobile device use on social interactions, including between parents and young children, is uncertain. The aim was to describe, synthesise and evaluate the evidence about parents’ mobile device use, caregiving and children’s social and emotional development. Methods: Seven medical and social sciences databases were searched using keywords and subject headings. Screening for eligibility used PRISMA guidelines and scientific and reporting quality were assessed with standardised checklists. Results: Eight studies met the inclusion criteria (four surveys, three qualitative and one mixed-method investigation). This small group of studies is of diverse quality, but there is evidence of associations between parents’ mobile device use, attention to caregiving and changes in child behaviour. Use of mobile devices during parenting activities may be infrequent and brief, but it can be a potent distraction that reduces caregiver responsiveness to children. Conclusions: An emerging body of research suggests mobile devices are associated with altered attention and responsivity to children by their caregivers and may change caregiver/child interactions. The evidence precludes questions about causality or discussion of impacts on child development. Knowledge gaps have been identified and they require future targeted research.
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Hoglund, David H. "Secure and Reliable Wireless Medical Device and Mobile Connectivity." Biomedical Instrumentation & Technology 51, no. 2 (March 1, 2017): 130–34. http://dx.doi.org/10.2345/0899-8205-51.2.130.
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Zhang, Yue, and Lieshuai Zhang. "Wearable Physiological Multiparameter Capturing Device for Mobile Medical Monitoring." Journal of Physics: Conference Series 1087 (September 2018): 032002. http://dx.doi.org/10.1088/1742-6596/1087/3/032002.
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Sezdi, Mana, and Ersin Ozdemir. "BMED: A WEB BASED APPLICATION TO ANALYZE THE PERFORMANCE OF MEDICAL DEVICES." Biomedical Engineering: Applications, Basis and Communications 26, no. 03 (March 17, 2014): 1450036. http://dx.doi.org/10.4015/s1016237214500367.
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In this study, a software application was developed to analyze the performance test results of medical devices. The software (BMED) provides a medical device database and analyses problems with medical devices. The BMED application analysis reports incompatible performance test results in accordance with international safety and inspection standards. The BMED also contains performance test measurement history of all medical devices in the BMED medical device database. The main purpose of this study is to make analysis of the performance control of medical devices faster, easier, mobile and more efficient. The increasing number of medical devices in a hospital is another reason to use applications such as this. The BMED software application was tested using sample data collected during performance test results of a total of 1553 medical devices. The devices were defibrillator, electrocardiography, pulse oximeter, anaesthesia unit, vaporizer, ventilator, electrosurgical unit, physiological monitor, sphygmomanometer, surgical aspirator, phototherapy unit and infant incubator. The performance tests of these medical devices were performed by the biomedical personnel in accordance with the inspection and preventive maintenance system (IPM) procedures, which were developed by the emergency care research institute (ECRI institute) and their results were also interpreted in accordance with the same procedures. The results of application testing showed that the BMED is a very successful application used to analyze performance test results of medical devices. Its usage is very easy, fast and comfortable. The main advantage of BMED is that it can be accessed with mobile devices from anywhere. This feature increases the performance and efficiency of biomedical staff. Additionally, this study showed that the BMED application provides consistent data for medical device problems. Spare part stock management and preventive maintenance activities decreased the repair costs and minimized the number of fault device conditions within the BMED application. All the analysis results also affected the selection and purchasing decisions of medical devices and their technologies. In short, the BMED served a manageable solution to combine all distributed data from a large number of medical devices located in different departments of a hospital — the location of the device, the biomedical number, the device name, the manufacturer, the serial number, the interpretation of the performance test results and the analysis results — into one platform. Thus, the management of medical device inventory was made easier. The future study will be the evaluation of the analysis for other medical devices. It is expected that usage of the tool will increase and it will be a very useful application for biomedical personnel.
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Jahn, Haiko Kurt, Ingo H. Jahn, Damian Roland, Mark D. Lyttle, and Wilhelm Behringer. "Mobile device and app use in paediatric emergency care: a survey of departmental practice in the UK and Ireland." Archives of Disease in Childhood 104, no. 12 (July 3, 2019): 1203–7. http://dx.doi.org/10.1136/archdischild-2019-316872.
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IntroductionMobile devices and medical apps are used by healthcare professionals in adult and paediatric emergency departments worldwide. Recently, there has been a drive toward increased digitalisation especially in the UK. This point prevalence survey aims to describe hardware and software provision and their use in paediatric emergency care in the UK and Ireland.MethodsA web-based self-report questionnaire of member sites of an international paediatric emergency research collaborative was performed. A lead site investigator completed the survey on behalf of each site.ResultsOf the 54 sites, 46 (85%) responded. At 10 (21.7%) sites, the use of a personal mobile device at the bedside was not allowed; however, this was only enforced at 4 (8.7%) of these sites. Apple iOS devices accounted for the majority (70%) of institutional mobile devices. Most sites provided between 1 and 5 medical apps on the institutional mobile device. The British National Formulary (BNF/BNFc) app was the app which was most frequently provided and recommended. No site reported any harm from medical app use.ConclusionThe breadth of app use was relatively low. There was variability in trust guidance on app use and challenges in accessibility of Wi-Fi and devices.
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Katkova, A. L., A. P. Vokhmintcev, and Yu A. Petrova. "Mobile devices as a means of visualization in remote education in a medical university." Medical Science And Education Of Ural 22, no. 1 (March 31, 2021): 26–30. http://dx.doi.org/10.36361/1814-8999-2021-22-1-26-30.
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Objective. The main goal of this work was to describe the concept of a mobile application that supports the functions of an electronic board for mobile devices with a touch screen. Material and methods. The work uses theoretical methods: a review of the literature on the research problem, analysis of publications, as well as an empirical method of observing the distance work of Tyumen State Medical University teachers. Results. The original article reflects the views of the teacher of the medical university on the problem of distance education during the pandemic of the new coronavirus infection and contains a practical proposal for creating a mobile application with which it is possible to facilitate teacher-student interaction during practical sessions conducted using video conferencing systems. The essence of the proposed concept is to synchronize the operation of a personal computer and a mobile device with a touch screen (phone, tablet), as well as a video conferencing system, in which a remote lesson is held, through a mobile application – a virtual board. Such an application turns the touch screen of a mobile device into an analogue of a graphics tablet, on which you can write using any suitable object. In this application the teacher has administrative permission. He can give or restrict access to the virtual clipboard to any student. This will bring the virtual educational process as close as possible to the real one. Conclusion. When implemented thorough of this idea should ensure improve the end result of education. The main disadvantage of this idea is the need for the teacher and students to have both a computer and a mobile device with a touch screen. Also the operation of this application will be difficult in places with low-speed Internet, or when Internet connection is not available.
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Larin, A. G., and A. R. Dabagov. "Digital Mammography Device for Mobile Mammography Complex." Radiology - Practice, no. 3 (July 6, 2021): 62–69. http://dx.doi.org/10.52560/2713-0118-2021-3-62-69.
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The results of the development of a mammographic unit with a digital flat-panel detector designed for for installation in a mobile medical X-ray room are presented.The mammographic unit with a digital flat-panel detector is designed for screening and other specialized mammographic examinations, provides the ability to perform full-format raster (using a screening raster) mammography, X-ray of the armpits.
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Greb, Alexandra C., Emma Altieri, Irene Masini, Emily H. Frisch, and Milton L. Greenberg. "Medical students’ self-perceptions of knowledge, skills, and pandemic safety following an active learning session with 6-lead mobile electrocardiography during the COVID-19 pandemic in the United States: a survey-based observational study." Journal of Educational Evaluation for Health Professions 19 (June 20, 2022): 12. http://dx.doi.org/10.3352/jeehp.2022.19.12.
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Mobile electrocardiogram (ECG) devices are valuable tools for teaching ECG interpretation. The primary purpose of this follow-up study was to determine if an ECG active learning session could be safely and effectively performed during the coronavirus disease 2019 (COVID-19) pandemic using a newly developed mobile 6-lead ECG device. Additionally, we examined the educational impact of these active learning sessions on student knowledge of cardiovascular physiology and the utility of the mobile 6-lead ECG device in a classroom setting. In this study, first-year medical students (MS1) performed four active learning activities using the new mobile 6-lead ECG device. Data were collected from 42 MS1s through a quantitative survey administered in September 2020. Overall, students felt the activity enhanced their understanding of the course material and that the activity was performed safely and in compliance with local COVID-19 guidelines. These results emphasize student preference for hands-on, small group learning activities in spite of the pandemic.
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Peregorodiev, Danil E., Andrey A. Katsupeev, and Grayr K. Aleksanyan. "Features of working with network connections when developing an iOS application for remote interaction with an electrical impedance tomography device." Journal Of Applied Informatics 18, no. 4 (August 16, 2023): 64–75. http://dx.doi.org/10.37791/2687-0649-2023-18-4-64-75.
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The creation of native information systems for mobile devices in healthcare facilities is becoming increasingly important in light of the need for remote monitoring of patients» condition. This need is due to the necessity for medical staff to constantly monitor patient condition in order to make quick decisions in the case of an emergency. In this regard the article is devoted to the technical aspects of developing a mobile application for remote interaction with an electrical impedance tomography device. Unlike well-known solutions, which use Bluetooth technology for information transfer, this article focuses on the study of the features of working with TCP sockets, which are an integral part of data transfer between the electrical impedance tomography machine and a mobile device. Also, the use of TCP sockets is due to the existing implementation of this technology in an electrical impedance tomography device made for its integration with a lung ventilator. The article discusses the main aspects of developing a system for remote interaction with medical equipment using the example of an electrical impedance tomography device. An application prototype developed for the iOS operating system to test the applicability of the proposed approach is described. The authors of the article describe methods for receiving graphic data, and also discuss possible problems and solutions related to working with TCP sockets in a mobile application.
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Bachmor, T., J. Schöchlin, and A. Bolz. "TRANSMITTING PATIENT AND DEVICE DATA VIA GSM - CENTRAL MANAGEMENT FOR DECENTRAL MOBILE MEDICAL DEVICES." Biomedizinische Technik/Biomedical Engineering 47, s1a (2002): 346–49. http://dx.doi.org/10.1515/bmte.2002.47.s1a.346.
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Farrington, Elizabeth A., Jill C. Stull, and Richard D. Leff. "Flow Rate Variability from Selected syringe and Mobile Infusion Pumps." Drug Intelligence & Clinical Pharmacy 22, no. 9 (September 1988): 687–90. http://dx.doi.org/10.1177/106002808802200907.
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Alterations in response to pharmacological agents have been attributed to flow rate variation produced by intravenous infusion devices during drug delivery. A wide range of variation has been shown to occur with large-volume infusion devices. The intent of this investigation was to examine flow variation resulting from the use of selected small-volume syringe and mobile infusion devices and determine whether these devices have greater flow continuity than large-volume infusion pumps. Each syringe and mobile infusion device delivered iv fluid at three flow rates (1, 5, and 10 ml/h). The effusate was collected in a tared beaker and serial weights were measured every ten seconds using a computerized, gravimetric technique. Accuracy, continuity, and pattern of flow were determined for each of the syringe and mobile infusion devices. All of the devices produced accurate flow, within ± 10 percent of the desired 5 and 10 ml/h rates. However, the actual iv flow rate ranged from 53 to 93 percent for the 1 ml/h rate. Continuity and pattern of flow resulting from each device were diverse. When compared with large-volume, microrate infusion devices, no significant differences could be observed. Therefore, no clear advantage to delivering drug solutions on a continuous basis can be expected from the use of small-volume devices. Specific infusion devices may be preferable for certain clinical applications; flow continuity data may be valuable when selecting an infusion device.
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Zhou, Zibo, Dongliang Peng, Fumeng Gao, and Leng Lu. "Medical Diagnosis Algorithm Based on Tongue Image on Mobile Device." Journal of Multimedia Information System 6, no. 2 (June 30, 2019): 99–106. http://dx.doi.org/10.33851/jmis.2019.6.2.99.
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LINDSAY, J. MICHAEL, and MARTHA F. EARL. "Investigating Mobile Device Use by Medical Residents, Nurses, and Consumers." Journal of Consumer Health On the Internet 18, no. 1 (January 2014): 1–14. http://dx.doi.org/10.1080/15398285.2014.869164.
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Degbedzui, Derek Kweku, Michael Tetteh, Elsie Effah Kaufmann, and Godfrey A. Mills. "BLUETOOTH-BASED WIRELESS DIGITAL STETHOSCOPE WITH MOBILE INTEGRATION." Biomedical Engineering: Applications, Basis and Communications 30, no. 03 (May 30, 2018): 1850010. http://dx.doi.org/10.4015/s1016237218500102.
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Acoustic stethoscopes are used to monitor signals from patients. Incidentally, the connecting tube between the chest-piece and the ear-piece of common stethoscopes is known to serve as a medium for transmitting pathogens from patients to physicians or from one patient to another patient. This work presents a wireless stethoscope design with mobile integration that transmits heart sounds to mobile devices for evaluation and analysis, thus, eliminates the connecting tube. This is an extension of the previous work that presented the proof of concept of a wireless stethoscope with Bluetooth transmission. In this work, however, the chest-piece of the traditional stethoscope is integrated with microcontroller unit and Bluetooth communication device. Captured signals are processed and transmitted wirelessly to a mobile device with interface application software for recording, listening and visual display of waveforms. Following numerical simulation, a prototype was developed. Testing conducted on the prototype device using a class 2 Bluetooth device with 4[Formula: see text]dBm transmission power showed good quality received signals when the mobile device was placed 20[Formula: see text]m within indoor environments and 42[Formula: see text]m in open-space outdoor environment, beyond which degradation in quality occurs. It is worth pointing out that a smart Bluetooth device with high transmission range and data speed may produce much longer operating distance. Hence, for applications that require operating ranges beyond 50[Formula: see text]m, smart Bluetooth devices may be well suited for such systems. This system may serve as the means for monitoring patients from remote locations particularly quarantine units and can also be useful for training health personnel through broadcasting of recorded signals for analysis and evaluation by members of a medical team.
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Zhdanko, Dmitriy A., Valeriy S. Gerasimov, Mikhail N. Kostomakhin, and Nikolay A. Petrishchev. "DEVELOPMENT OF MOBILE CONTROL DIAGNOSTIC DEVICE." Tekhnicheskiy servis mashin 1, no. 142 (March 2021): 34–44. http://dx.doi.org/10.22314/2618-8287-2021-59-1-34-44.
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Majid, Abdul, Fahad Sarfraz, Usman Mehboob, Farrukh Sarfraz, Ayesha Zubair, and Rehan Ahmed Khan. "Patterns of Smartphone Usage among Clinicians in Clinical Settings." Pakistan Journal of Medical and Health Sciences 15, no. 9 (September 30, 2021): 2906–10. http://dx.doi.org/10.53350/pjmhs211592906.
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Background: Mobile device use has become a necessity in one’s life. Much less is known about the patterns of mobile use by doctors while working in clinical settings. The aim of this study is to describe the patterns by which doctors use mobile devices in the clinical settings and doctors perceptions related to its use. Methodology: This cross-sectional descriptive survey was conducted from October 2019 to March 2020 and included 200 doctors working in Sheikh Zayed Medical College Hospital, Rahim Yar Khan. After obtaining ethical approval and taking informed consent, participants were requested to fill a self-designed questionnaire. Identity was kept anonymous and data was organized and analyzed through SPSS software version 23. Results: Out of 170 participants who responded, 92.4 % reported using mobiles phones in clinical settings for communication purposes, while 49.4 % used mobiles for information access. Only 18.2 % doctors used mobiles for organization and scheduling purposes. 27% percent doctors reported using social media application during clinical hours with Facebook being the most common application. Overall, the participants perceived use of mobiles to be useful and supplemental in patient care but issues of ethics and disruption in patient care with mobile usage needed to be dealt with. Conclusion: There is increasing utility of mobile phones in the lives of doctors in all domains including clinical settings. Clear policies regarding mobile phone usage can help health professionals use this technology in a more productive way to improve patient care. Key words: Mobile, clinical settings, clinicians
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Pho, Kelvin K., Rong Lu, Samantha Gates, Jennifer Cai, Donglu Xie, Yang Xie, Simon J. Craddock Lee, and David E. Gerber. "Mobile Device Applications for Electronic Patient Portals in Oncology." JCO Clinical Cancer Informatics, no. 3 (December 2019): 1–8. http://dx.doi.org/10.1200/cci.18.00094.
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PURPOSE Mobile devices provide individuals with rapid and frequent access to electronic patient portals. We investigated how oncology patients use this technology to review test results and communicate with providers. PATIENTS AND METHODS We performed a retrospective study of patients enrolled in the MyChart electronic health portal associated with the Epic electronic medical record at the Harold C. Simmons Comprehensive Cancer Center from 2012 to 2017. We recorded type of portal access according to year and patient characteristics. Associations among patient characteristics and types of portal access were tested using Mann-Whitney U test, χ2 test, and linear Gaussian regression models. RESULTS Since the availability of a mobile device application in 2012, 2,524 patients with cancer accessed MyChart from a mobile device at least once, which accounted for 291,526 mobile log-ins. The number of patients with MyChart mobile application log-ins increased from 4% in 2012 to 13% in 2017 ( P = .004). Among these patients, the median proportion of log-ins that occurred through mobile device use increased from 22% to 72% during this time period ( P < .001). Mobile access occurred more frequently among younger ( P < .001), black ( P = .002), and Hispanic ( P = .004) patients. Since 2012, total portal log-in frequency increased approximately 110% among patients who used the mobile application compared with 25% among those who did not use the mobile application ( P < .001). CONCLUSION Mobile access to electronic health portals has increased patient portal use, particularly among traditionally underserved populations. How this widely and immediately available technology affects patient expectations and experiences warrants additional study.
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Buczkowski, T., D. Janusek, H. Zavala-Fernandez, M. Skrok, M. Kania, and A. Liebert. "Influence of Mobile Phones on the Quality of ECG Signal Acquired by Medical Devices." Measurement Science Review 13, no. 5 (October 1, 2013): 231–36. http://dx.doi.org/10.2478/msr-2013-0035.
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Abstract Health aspects of the use of radiating devices, like mobile phones, are still a public concern. Stand-alone electrocardiographic systems and those built-in, more sophisticated, medical devices have become a standard tool used in everyday medical practice. GSM mobile phones might be a potential source of electromagnetic interference (EMI) which may affect reliability of medical appliances. Risk of such event is particularly high in places remote from GSM base stations in which the signal received by GSM mobile phone is weak. In such locations an increase in power of transmitted radio signal is necessary to enhance quality of the communication. In consequence, the risk of interference of electronic devices increases because of the high level of EMI. In the present paper the spatial, temporal, and spectral characteristics of the interference have been examined. The influence of GSM mobile phone on multilead ECG recordings was studied. It was observed that the electrocardiographic system was vulnerable to the interference generated by the GSM mobile phone working with maximum transmit power and in DTX mode when the device was placed in a distance shorter than 7.5 cm from the ECG electrode located on the surface of the chest. Negligible EMI was encountered at any longer distance.
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Wang, You-Kwang, and Chien-Yu Chen. "Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions." Applied Sciences 13, no. 17 (September 1, 2023): 9921. http://dx.doi.org/10.3390/app13179921.
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As medical technology continues to evolve, the importance of real-time feedback from physiological signals is increasingly being recognized. The advent of the Internet of Things (IoT) has facilitated seamless connectivity between sensors and virtual networks, enabling the integration of thoughtful medical care with real-time feedback capabilities. This project uses cloud storage technology and cloud software algorithms to enable data sharing and real-time feedback. Its main focus is to provide a system for real-time feedback on physiological signals and sleep quality analysis. The system uses smart wristbands and smart mobile devices to collect, transmit, and analyze physiological data. During sleep, users wear these devices, which capture and analyze their physiological data. The analyzed data are then stored in a cloud-based database. The research involves studying sleep quality and determining optimal sleep quality parameters based on the data stored in the cloud database. These parameters are designed to improve sleep quality. They are then transmitted to a mobile sleep aid device to control light conditions. The sleep aid software used in previous generations of mobile devices is the basis for expanding the integration of the sleep detection system. By combining the software of a mobile device platform with that of a smart wearable device, data can be obtained to monitor the wearer’s movements, such as turning over and heartbeat. The monitoring aspect includes tracking the turning time, distance, and speed, while the heartbeat monitoring includes detecting changes in heart rate, frequency, and interval using photoplethysmography (PPG) and smart wearable devices. Subsequently, artificial intelligence methods are employed to conduct statistical analysis and categorize the gathered extensive dataset. The system reads the data and provides the user with assessments and suggestions to improve sleep quality and overall sleep condition.
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Walker, Kerry E., David Migneault, Heather C. Lindsay, and Riyad B. Abu-Laban. "Use of personal mobile devices to record patient data by Canadian emergency physicians and residents." CJEM 21, no. 4 (April 22, 2019): 455–59. http://dx.doi.org/10.1017/cem.2019.29.
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ABSTRACTObjectiveUse of personal mobile devices to record patient data appears to be increasing, but remains poorly studied. We sought to determine the extent and reasons that Canadian emergency physicians (EPs) and emergency medicine residents use personal mobile devices to record patient data in the emergency department (ED).MethodsA national survey was distributed to Canadian EPs and residents between 27/02/17 and 23/03/17. This captured demographics, frequency, and purpose of personal mobile device use to record patient data in the ED. It also asked about obtaining consent, security of information, implications for patient care, and knowledge of relevant regulations.ResultsThe response rate was 23.1% (406 participants). A third (31.5%) reported using personal mobile devices to record patient data. Most (78.1%) did so more than once a month, and 7.0% did so every shift. Reasons cited included beliefs that using personal mobile devices to record patient data improves care by consultants (36.7%), expedites care (31.3%), and advances medical education (32.8%). Consent was rarely or never documented and a minority of participants (10.9%) indicated they did not obtain consent. More than half of participants (53.2%) reported being unaware of applicable regulations.ConclusionsThis is the first Canadian study on the use of personal mobile devices to record patient data in the ED. Our findings demonstrate current practice may risk privacy breaches. Personal mobile device use to record patient data in the ED is common and Canadian EPs and residents believe that this practice enhances patient care.
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Vukmirović, Dušan, Ivana Stević, Marina Odalović, and Dušanka Krajnović. "Review of regulatory requirements in the US, EU and Serbia on software: Mobile application as a medical device: State of the art." Arhiv za farmaciju 72, no. 4 (2022): 413–27. http://dx.doi.org/10.5937/arhfarm72-36730.
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The number of software - mobile applications intended for use in the field of people's health and well-being is constantly increasing. The aim of this review is to compare regulations on software - mobile applications as medical devices in the United States of America (USA), European Union (EU) and Serbia, with reference on the efforts for international harmonization of the regulations. The goal is to increase awareness of the broader healthcare professionals' (HCPs) audience about this topic. Publicly available information from official regulatory bodies websites was analyzed and synthesized for two regions and one country of interest. The results show differences in regulatory approaches in this area between two biggest medical device markets - the USA and the EU, while regulations in Serbia are being harmonized with the EU. Regulations clearly define criteria that software - mobile application needs to meet to be assessed as a medical device; on the other hand, they leave a number of applications that provide health-related services out of the regulated scope. Based on the increased awareness of regulations, recommendations for future research can be directed towards greater involvement of HCPs in patient counseling and decision making regarding the selection of mobile applications, to prevent the use of inadequate mobile applications and ensure that their patients are correctly using the right applications with positive effects on health and well-being.
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Pereira, Orlando R. E., João M. L. P. Caldeira, and Joel J. P. C. Rodrigues. "An Advanced and Secure Symbian-Based Mobile Approach for Body Sensor Networks Interaction." International Journal of E-Health and Medical Communications 2, no. 1 (January 2011): 1–16. http://dx.doi.org/10.4018/jehmc.2011010101.
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The combination of body sensor networks (BSNs) and mobile devices brings a personalized health monitoring opportunity to patients and medical teams. Mobile devices may be used to process and present data collected by BSN sensors in an easy and meaningful way to users. The mobility of such systems improves patients’ quality of life, enabling continuous unobtrusive health monitoring during regular daily routine tasks. This paper presents a Symbian-powered smartphone based solution for BSN sensors data gathering, monitoring, and presentation. The systems’ sensor platform hardware provides an onboard long-term data storage module, enabling continuous data gathering even in the absence of the mobile device. The mobile device connects wirelessly to the BSN using Bluetooth technology, supporting interaction with multiple sinks. This system aims to help patients that need continuous monitoring of human bio-physiological parameters in a transparent and unobtrusive way. A case study is presented, based on a sensor for women’s core body temperature collection, enabling fertility follow up processing. The system was evaluated successfully, proving its usefulness in a real scenario. As a result, it is ready for regular use.
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Bocu, Razvan, Anca Vasilescu, and Delia Monica Duca Iliescu. "Personal Health Metrics Data Management Using Symmetric 5G Data Channels." Symmetry 14, no. 7 (July 6, 2022): 1387. http://dx.doi.org/10.3390/sym14071387.
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The integrated collection of personal health data represents a relevant research topic, which is enhanced further by the development of next-generation mobile networks that can be used in order to transport the acquired medical data. The gathering of personal health data has become recently feasible using relevant wearable personal devices. Nevertheless, these devices do not possess sufficient computational power, and do not offer proper local data storage capabilities. This paper presents an integrated personal health metrics data management system, which considers a virtualized symmetric 5G data transportation system. The personal health data are acquired using a client application component, which is normally deployed on the user’s mobile device, regardless it is a smartphone, smartwatch, or another kind of personal mobile device. The collected data are securely transported to the cloud data processing components, using a virtualized 5G infrastructure and homomorphically encrypted data packages. The system has been comprehensively assessed through the consideration of a real-world use case, which is presented.
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Michael, Scholtes, Behrend Annemarie, Stephanie Buedenbender, Gross Volker, and Sohrabi Keywan. "Clinical Evaluation of Mobile Medical Apps." Current Directions in Biomedical Engineering 4, no. 1 (September 1, 2018): 173–76. http://dx.doi.org/10.1515/cdbme-2018-0043.
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AbstractComputer applications in medicine are very important. However, there are differences in quality of such software, which periodically led to discussions about safety, regulation, and registration of software applications. Today, the admission procedure of medical products is highly regulated, and this applies also for mobile medical apps. The clinical evaluation is one important aspect of the admission procedure, especially due to the latest regulatory changes of the guideline MedDev 2.7/1 revision 4. The requirements have increased, and uncertainty grows in medical app development companies. The aim of this paper was the development of a process orientated guide, that gives an overview of the needed steps of a clinical evaluation of mobile medical apps and that could help to give a rough estimation about the necessary effort. The guide was developed, based on the relevant literature and legal texts. The clinical evaluation can be conducted in five substeps: “Planning and Scoping”, “Literature Research”, “Literature Assessment”, “Clinical Data Analysis” and “Reporting”. Prospectively, this guide will be evaluated by developers and adjusted, as soon as Medical Device Regulation is legally binding.
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Robertson, Amy C., and Leslie C. Fowler. "Medical Student Perceptions of Learner-Initiated Feedback Using a Mobile Web Application." Journal of Medical Education and Curricular Development 4 (January 1, 2017): 238212051774638. http://dx.doi.org/10.1177/2382120517746384.
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Feedback, especially timely, specific, and actionable feedback, frequently does not occur. Efforts to better understand methods to improve the effectiveness of feedback are an important area of educational research. This study represents preliminary work as part of a plan to investigate the perceptions of a student-driven system to request feedback from faculty using a mobile device and Web-based application. We hypothesize that medical students will perceive learner-initiated, timely feedback to be an essential component of clinical education. Furthermore, we predict that students will recognize the use of a mobile device and Web application to be an advantageous and effective method when requesting feedback from supervising physicians. Focus group data from 18 students enrolled in a 4-week anesthesia clerkship revealed the following themes: (1) students often have to solicit feedback, (2) timely feedback is perceived as being advantageous, (3) feedback from faculty is perceived to be more effective, (4) requesting feedback from faculty physicians poses challenges, (5) the decision to request feedback may be influenced by the student’s clinical performance, and (6) using a mobile device and Web application may not guarantee timely feedback. Students perceived using a mobile Web-based application to initiate feedback from supervising physicians to be a valuable method of assessment. However, challenges and barriers were identified.
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Maarif, Muhammad Rifqi, and Agung Priyanto. "A PROTOYPE OF DIGITAL BLOOD PRESSURE MEASUREMENT DEVICE BASED ON ARDUINO UNO AND MOBILE APPLICATION." Compiler 7, no. 2 (October 25, 2018): 141. http://dx.doi.org/10.28989/compiler.v7i2.367.
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Blood pressure is one of the vital sign which widely used as a parameter for medical examination. In some cases likes hypertension, cardiovascular disease or routine examination of pregnant woman, blood pressure test which performed frequently become an important thing. Based on those cases, hence an availability of blood pressure measurement devices will become significant. Thus, in this research, we developed a prototype od digital blood pressure measurement device by using Arduino Uno microcontroller and Android based mobile application. In general, Arduino Uno was equipped with pressure sensorMPX5050DP, those devices will be used for blood pressure measurement. Then the result will be sent and displayed to mobile application. Data transmission between hardware and mobile application was done by using bluetooth module
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Afreenish Malik, Maidha Jadoon, Fatima Aman, Ayesha Bibi, Summara Khan, and Raima Bilal. "Which practice is best to manage the Hidden curriculum for the best use of mobile devices in clinical practice? A systematic review.REVIEW." Professional Medical Journal 31, no. 05 (May 4, 2024): 847–55. http://dx.doi.org/10.29309/tpmj/2024.31.05.8116.
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Objective: To evaluate the literature regarding the practices to manage the hidden curriculum for the best use of mobile devices in clinical practice. Study Design: Systematic Review. Setting: Articles selected for review from Canada, United Kingdom, Japan, Ireland and Saudi Arabia. Period: July to Dec 2023. Methods: Following databases were searched: PubMed (12,579), the Cochrane Library (348), scopus (84), PsycInfo (21), CINAHL (220), Google Scholar (1,414). Primary variable (Evaluation of the development of clinical skills made possible by mobile devices) and secondary variable (to determine how satisfied students are with their mobile learning experience). The quality of study was critically appraised according the Critical Appraisal Skills Programme (CASP) scale. Results: The research findings indicate that using mobile devices into medical education has a variety of effects. Positive instructor perspectives, more student involvement, and higher learning outcomes were frequently reported by participants. Medical students' growth of technological competency and readiness for the changing healthcare landscape have been found to be accelerated by mobile devices. The integration of virtual simulations and applications that are interactive has had a positive impact on the development of clinical abilities. Positive effects included themes of individualization, collaborative learning communities, and a better understanding of patient-centered care. On the other hand, issues including the digital divide, diversions, and security threats were recognized as obstacles that called for a careful strategy to reduce any negative effects. When everything is considered, the findings confirm the revolutionary potential of mobile device incorporation in medical education and highlight how it helps to create a dynamic, technologically advanced learning environment for prospective medical professionals. Conclusion: This study provides insight on how adding mobile devices into medical education has a revolutionary effect. The research indicates enhanced learning outcomes, increased student involvement, and altering faculty perspectives through insightful stories and compelling arguments.
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Kutafina, Ekaterina, Alexander Brenner, Yannic Titgemeyer, Rainer Surges, and Stephan Jonas. "Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection." PeerJ 8 (May 1, 2020): e8969. http://dx.doi.org/10.7717/peerj.8969.
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Development of mobile sensors brings new opportunities to medical research. In particular, mobile electroencephalography (EEG) devices can be potentially used in low cost screening for epilepsy and other neurological and psychiatric disorders. The necessary condition for such applications is thoughtful validation in the specific medical context. As part of validation and quality assurance, we developed a computer-based analysis pipeline, which aims to compare the EEG signal acquired by a mobile EEG device to the one collected by a medically approved clinical-grade EEG device. Both signals are recorded simultaneously during 30 min long sessions in resting state. The data are collected from 22 patients with epileptiform abnormalities in EEG. In order to compare two multichannel EEG signals with differently placed references and electrodes, a novel data processing pipeline is proposed. It allows deriving matching pairs of time series which are suitable for similarity assessment through Pearson correlation. The average correlation of 0.64 is achieved on a test dataset, which can be considered a promising result, taking the positions shift due to the simultaneous electrode placement into account.
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Li, Li, Ching-Chun Chang, Junlan Bai, Hai-Duong Le, Chi-Cheng Chen, and Teen-Hang Meen. "Hamming Code Strategy for Medical Image Sharing." Applied System Innovation 3, no. 1 (January 19, 2020): 8. http://dx.doi.org/10.3390/asi3010008.
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In medical practice, the scanned image of the patient between the patient and the doctor is confidential. If info is stored on a single server and the server is successfully attacked, it is possible to expose confidential information. Password encryption and data authentication are commonly used to protect patient data, however, encryption and data authentication are computationally expensive and take time to execute on a mobile device. In addition, it is not easy for the patient details related to medical images to leak if the hacked image are not visual.Therefore, in this paper, we propose a way to make medical images remain untouched in this sense. We use our method to quickly create two shadows from two medical images and store them on two servers. Revealing a shadow image does nothing to compromise the confidentiality of a patient’s health. This method is based on Hamming code. With low computational cost, the proposed scheme is suitable for tablet, pamphlets and other mobile devices.
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Tetenova, Elena J., Aleksei V. Nadezhdin, Alexey J. Kolgashkin, Mikhail V. Fedorov, Inessa A. Bedina, Egor A. Koshkin, Sergei V. Zolotukhin, et al. "Smartphone Medical Apps Use by Health Professionals: Is Gender a Confounding Factor?" Global Journal of Health Science 14, no. 3 (February 17, 2022): 87. http://dx.doi.org/10.5539/gjhs.v14n3p87.
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The main aim of the study was to establish, whether the gender of a health professional affects the use of smartphone medical apps. We studied the basic patterns of smartphone use in doctors with the largest addiction clinic in Moscow, engaged in in-patient treatment, to access possible gender-determined “digital divide”, evaluate the current use of medical applications, and eventual intentions to use a decision-support app. We performed a cross-sectional study of a non-probability sample of medical doctors using a non-standardized anonymous self-questionnaire, covering 3 domains: socio-demographic and professional characteristics; present use of a mobile device; attitudes to the use of mobile medical apps. The study covered 212 of the 328 staff members, 56% men and 44% women. The largest age group was 41–50 years old (32.1%), followed by 51–60 (25%), 31–40 (23.6%), over 61 (10.8%) and 20-30 (8.5%). 77.8% of respondents use mobile Internet in the office to search for professionally relevant information. 86.5% would like to use mobile applications that help in their professional activities. We failed to confirm the hypothesis about possible gender-related features in the use of mobile devices in doctors. The dedicated mobile system for supporting clinical decision-making in addiction hospitals may be in-demand. The level of doctors’ use of mobile devices and mobile applications shows the absence of gender barriers to the utilization of such systems. In the future, we recommend studying other socio-demographic and occupational predictors affecting the use of professional mobile applications by health professionals of various specialties and the acceptability of the gaming approach in the field.
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Tykhan, Myroslav, Viktor Markovych, and Vitalii Generalov. "MEDICAL REHABILITATION GONIOMETRICAL SYSTEM." Measuring Equipment and Metrology 84, no. 2 (2023): 11–16. http://dx.doi.org/10.23939/istcmtm2023.02.011.
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Physiological rehabilitation is applied in medical practice to restore a person's functional ability after musculoskeletal injuries. Movements in the joints are the main functional indicator of the activity of the organs of support and movement. The paper considers a resistive goniometric sensor in the form of a ball joint. Based on such a sensor, a medical rehabilitation goniometric system is developed. It includes also a data collection device (autonomous data recorder) and a portable modem. That is why the system works autonomously in real-time and transmits data over a distance. This allows the system to be mobile and control joint mobility without the direct involvement of a doctor.
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Hu, Wei, Hongna Geng, Hong Guo, Xiaoming Liu, Junliang Lu, Jun Liu, and Kai Zhang. "Design and Implementation of Portable Device Based Mobile Medical Service System." Journal of Signal Processing Systems 86, no. 2-3 (March 4, 2016): 237–50. http://dx.doi.org/10.1007/s11265-016-1118-5.
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Alameddine, Mohamad, Hani Tamim, Dima Hadid, Mohamad-Ali Cheaito, Maha Makki, Hadi Maatouk, and Eveline Hitti. "Patient Attitudes Toward Mobile Device Use by Health Care Providers in the Emergency Department: Cross-Sectional Survey." JMIR mHealth and uHealth 8, no. 3 (March 31, 2020): e16917. http://dx.doi.org/10.2196/16917.
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Background Health care provider usage of mobile devices is increasing globally; however, there is little understanding of patient perceptions on this behavior in a health care setting. Objective The aim of this study was to assess patients’ attitudes toward mobile device usage by health care providers in the emergency department and to identify predictors of these attitudes. Methods The study was carried out at the emergency department of a large academic tertiary care medical center in Lebanon. A cross-sectional survey design was adopted by administering a questionnaire to medically stable adult patients who presented to the emergency department with an emergency severity index of 3, 4, or 5 between January 2017 and March 2018. The questionnaire collected relevant patient demographic information and included questions related to their mobile device usage along with those evaluating attitudes for the use of mobile devices by health care providers with respect to six major domains: role in health care, distraction potential, impact on communication, empathy, privacy, and professionalism. The attitude toward mobile device usage by health care providers in the emergency department was the main outcome variable. A stepwise logistic regression model was used to assess the association between the outcome variable and the demographic and attitude-related independent variables. Results Among the 438 eligible patients, 338 patients responded to the questionnaire for a response rate of 70.0%. Overall, 313/338 (92.6%) respondents agreed that mobile devices improve health care delivery, whereas 132/338 (39.1%) respondents were opposed to their usage by health care providers in the emergency department (95% CI: 34.0-44.4). The majority (240/338, 71.0%) of patients agreed that mobile devices are a source of distraction to health care providers in the workplace. Females (odds ratio [OR]=1.67, 95% CI: 1.00-2.78) as well as all patients (OR=2.54, 95% CI 1.36-4.76) who believed that mobile devices were a source of distraction, reflecting a lack of professionalism (OR=2.77, 95% CI 1.59-4.82) and impacting the provider’s ability to relate to the patient (OR=2.93, 95% CI 1.72-4.99), were more likely to agree that mobile devices should not be used in the emergency department. Conclusions Patients’ negative attitude toward mobile device use in the emergency department is largely driven by patient gender (females), patient perception of the distraction potential of the devices, and their negative impact on the health care provider’s empathy and professionalism. The findings of this study shed light on the importance of encouraging stakeholders to impose a digital professionalism code of conduct for providers working in acute health care settings.
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M., Akshay Anand, M. P. Venkatesh, and Pramod Kumar T.M. "GLOBAL REGULATORY APPROACH TOWARDS M-HEALTH." International Journal of Drug Regulatory Affairs 4, no. 1 (February 13, 2018): 6–12. http://dx.doi.org/10.22270/ijdra.v4i1.176.
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The past decade has witnessed rapid advancement in telecommunication and computer technologies. The smart phone is one result of that technological development and has been adopted by hundreds of millions of people worldwide. Innovators in the medical device industry quickly recognized the potential to use smartphones to expand the capabilities of healthcare professionals via mobile medical applications (apps) resident on these devices. These apps raise unique challenges for regulation by the drug regulatory authorities worldwide including the Food and Drug Administration (FDA), European Medical Association (EMA) etc. The focus of this article is to shed light on the current trends and future aspects of the regulatory framework implied on the Mobile Health (mHealth).
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Satra, Sagar, Pintu Kumar Sadhu, Venkata P. Yanambaka, and Ahmed Abdelgawad. "Octopus: A Novel Approach for Health Data Masking and Retrieving Using Physical Unclonable Functions and Machine Learning." Sensors 23, no. 8 (April 18, 2023): 4082. http://dx.doi.org/10.3390/s23084082.
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Health equipment are used to keep track of significant health indicators, automate health interventions, and analyze health indicators. People have begun using mobile applications to track health characteristics and medical demands because devices are now linked to high-speed internet and mobile phones. Such a combination of smart devices, the internet, and mobile applications expands the usage of remote health monitoring through the Internet of Medical Things (IoMT). The accessibility and unpredictable aspects of IoMT create massive security and confidentiality threats in IoMT systems. In this paper, Octopus and Physically Unclonable Functions (PUFs) are used to provide privacy to the healthcare device by masking the data, and machine learning (ML) techniques are used to retrieve the health data back and reduce security breaches on networks. This technique has exhibited 99.45% accuracy, which proves that this technique could be used to secure health data with masking.
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Gondoh-Noda, Yuko, Mitsuhiro Kometani, Akihiro Nomura, Daisuke Aono, Shigehiro Karashima, Hiromi Ushijima, Eiichi Tamiya, Toshinori Murayama, and Takashi Yoneda. "Feasibility of a Novel Mobile C-Reactive Protein–Testing Device Using Gold-Linked Electrochemical Immunoassay: Clinical Performance Study." JMIR mHealth and uHealth 8, no. 9 (September 7, 2020): e18782. http://dx.doi.org/10.2196/18782.
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Background Home-based care is one of the most promising solutions to provide sufficient medical care for several older patients in Japan. However, because of insufficient diagnostic devices, it is sometimes difficult to detect early signs of the occurrence or worsening of diseases, such as infections under home-based care settings. C-reactive protein (CRP) is highly sensitive to diagnosing infections, and its elevation can help diagnose acute infection in older patients. Therefore, a CRP-measuring device that can be used in such a specific occasion is needed for home-based care. However, aspects such as its size, weight, and procedure are still challenging with respect to the practical use of mobile devices that quantitatively measure CRP levels easily and quickly under home-based care settings. Objective We developed a new mobile, rapid CRP measurement device using a gold-linked electrochemical immunoassay (GLEIA) system. The aim of this study was to evaluate the feasibility of this mobile CRP-testing device. Methods First, we assessed the performance of bare GLEIA-based electrode chips as the foundation of the device. After embedding the bare GLEIA-based electrode chips in a special plastic case and developing the mobile CRP-testing device, we further tested the device prototype using clinical blood samples. Finally, we evaluated the intra-assay variability for precision in the same condition and inter-assay variability for reproducibility in different conditions. Results Blood samples for analysis were obtained by direct vein puncture from outpatients (N=85; females: 57/85; males: 28/85; age: 19-88 years) at Kanazawa University Hospital in Japan. For performance evaluation of bare GLEIA-based electrode chips, we used 85 clinical blood samples. There was a significant positive correlation between the electrode-predicted CRP levels and the reference CRP concentrations (R2=0.947; P<.001). The assembled device was mobile (size 45×90×2.4 mm; weight 10 g) and disposable. The minimum volume of the sample needed for measuring CRP was 1.4 µL. The estimated preanalytical time was approximately 7 minutes and 40 seconds, and analysis time was approximately 1 minute and 10 seconds. Subsequently, for performance evaluation of the mobile CRP-testing device using GLEIA-based electrode chips, we used 26 clinical blood samples and found a significant positive correlation between the mobile device-predicted CRP levels and the reference CRP concentrations (R2=0.866, P<.001). The intra-assay variabilities were 34.2%, 40.8%, and 24.5% for low, medium, and high CRP concentrations, respectively. The inter-assay variabilities were 46.5%, 38.3%, and 64.1% for low, medium, and high CRP concentrations, respectively. Conclusions Our findings suggest that this new mobile CRP-testing device might be suitable for use in home-based care settings.
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Keutzer, Lina, and Ulrika SH Simonsson. "Medical Device Apps: An Introduction to Regulatory Affairs for Developers." JMIR mHealth and uHealth 8, no. 6 (June 26, 2020): e17567. http://dx.doi.org/10.2196/17567.
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The Poly Implant Prothèse (PIP) scandal in France prompted a revision of the regulations regarding the marketing of medical devices. The new Medical Device Regulation (MDR [EU]) 2017/745 was developed and entered into force on May 25, 2017. After a transition period of 3 years, the regulations must be implemented in all EU and European Economic Area member states. The implementation of this regulation bears many changes for medical device development and marketing, including medical device software and mobile apps. Medical device development and marketing is a complex process by which manufacturers must keep many regulatory requirements and obligations in mind. The objective of this paper is to provide an introduction and overview of regulatory affairs for manufacturers that are new to the field of medical device software and apps with a specific focus on the new MDR, accompanying harmonized standards, and guidance documents from the European Commission. This work provides a concise overview of the qualification and classification of medical device software and apps, conformity assessment routes, technical documentation, clinical evaluation, the involvement of notified bodies, and the unique device identifier. Compared to the previous Medical Device Directive (MDD) 93/42/EEC, the MDR provides greater detail about the requirements for software qualification and classification. In particular, rule 11 sets specific rules for the classification of medical device software and will be described in this paper. In comparison to the previous MDD, the MDR is more stringent, especially regarding the classification of health apps and software. The implementation of the MDR in May 2020 and its interpretation by the authorities will demonstrate how app and software manufacturers as well as patients will be affected by the regulation.
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Wyatt, Kirk D., Anissa Finley, Richard Uribe, Peter Pallagi, Brian Willaert, Steve Ommen, James Yiannias, and Thomas Hellmich. "Patients' Experiences and Attitudes of Using a Secure Mobile Phone App for Medical Photography: Qualitative Survey Study." Journal of Medical Internet Research 22, no. 5 (May 12, 2020): e14412. http://dx.doi.org/10.2196/14412.
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Background Point-of-care clinical photography using mobile devices is coming of age as a new standard of care for clinical documentation. High-quality cameras in modern smartphones facilitate faithful reproduction of clinical findings in photographs; however, clinical photographs captured on mobile devices are often taken using the native camera app on the device and transmitted using relatively insecure methods (eg, SMS text message and email) that do not preserve images as part of the electronic medical records. Native camera apps lack robust security features and direct integration with electronic health records (EHRs), which may limit patient acceptability and usefulness to clinicians. In March 2015, Mayo Clinic overcame these barriers by launching an internally developed mobile app that allows health care providers to securely capture clinical photographs and upload them to the EHR in a manner that is compliant with patient privacy and confidentiality regulations. Objective The study aimed to understand the perceptions, attitudes, and experiences of patients who were photographed using a mobile point-of-care clinical image capture app. Methods The study included a mail-out survey sent to 292 patients in Rochester, Minnesota, who were photographed using a mobile point-of-care clinical image capture app within a preceding 2-week period. Results The surveys were completed by 71 patients who recalled being photographed. Patients were seen in 18 different departments, with the most common departments being dermatology (19/71, 27%), vascular medicine (17/71, 24%), and family medicine (10/71, 14%). Most patients (49/62, 79%) reported that photographs were taken to simply document the appearance of a clinical finding for future reference. Only 16% (10/62) of patients said the photographs were used to obtain advice from a specialist. Furthermore, 74% (51/69) of the patients said they would recommend medical photography to others and 67% (46/69) of them thought the photos favorably affected their care. Patients were largely indifferent about the device used for photography (mobile device vs professional camera; 40/69, 58%) or the identity of the photographer (provider vs professional photographer; 52/69, 75%). In addition, 90% (64/71) of patients found reuse of photographs for one-on-one learner education to be acceptable. Acceptability for other uses declined as the size of the audience increased, with only 42% (30/71) of patients deeming reuse on social media for medical education as appropriate. Only 3% (2/71) of patients expressed privacy or confidentiality concerns. Furthermore, 52% (33/63) of patients preferred to provide consent verbally, and 21% (13/63) of them did not think a specific consent process was necessary. Conclusions Patient attitudes regarding medical photography using a secure EHR-integrated app were favorable. Patients perceived that photography improved their care despite the most common reason for photography being to simply document the appearance of a clinical finding for future reference. Whenever possible, health care providers should utilize secure EHR-integrated apps for point-of-care medical photography using mobile devices.
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Alay, Prashanth Kumar. "Development of Wearable Device and their Application in Medical IoT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 19, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29426.
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Health is one of the most important aspects of life. Still, people still could not get proper health services. It's caused by limitation to the used technology in hospitals and limitations to get to the hospital. Internet-of-Things (IoT) as one of the utmost trending motifs presently, formerly giving so many results in many ways, for example, in healthcare. Wearable devices are currently at the heart of just about every discussion related to the Internet of Things. The requirement for self-health monitoring and preventive medicine is increasing due to the projected dramatic increase in the number of elderly people until 2020.Developed technologies are truly able to reduce the overall costs for prevention and monitoring. This is possible by constantly monitoring health indicators in various areas and in particular, wearable devices are considered to carry this task out. These wearable devices and mobile apps now have been integrated with telemedicine and telehealth efficiently, to structure the medical Internet of Things. This paper reviews wearable health care devices both in scientific papers and commercial efforts. Key Words: Delivering of health care, Information Storage and Retrieval, Internet, Mobile Application, Smartphones, Telemedicine