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Hasman, A. "Medical informatics. Computer applications in health care." International Journal of Bio-Medical Computing 31, no. 3-4 (October 1992): 257–59. http://dx.doi.org/10.1016/0020-7101(92)90009-h.
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Widman, Lawrence. "Medical informatics, computer applications in health care." Artificial Intelligence in Medicine 2, no. 4 (October 1990): 231–32. http://dx.doi.org/10.1016/0933-3657(90)90061-u.
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Riva, G. "Applications of Virtual Environments in Medicine." Methods of Information in Medicine 42, no. 05 (2003): 524–34. http://dx.doi.org/10.1055/s-0038-1634379.
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Summary Objectives: This paper intends to investigate the role of virtual reality (VR) in medicine. In particular it outlines the current state of research and technology that is relevant to the development of effective virtual environments in medicine. Methods: After describing the two different visions of VR we can find in medicine – the presentation of virtual objects to all of the human senses in a way identical to their natural counterpart, and a new human-computer interaction paradigm in which users are active participants within a computer-generated three-dimensional virtual world – the paper presents some of the most interesting applications actually developed in the area. Finally, it discusses the clinical principles, technological devices and safety issues associated with the use of VR in medicine. Results: With more than 1,000 VR papers already indexed in Medline, VR is a reality health care. Even if the number of controlled studies is still limited, its merging with emerging technologies like Ambient Intelligence and wireless communication will further improve its diffusion. Conclusions: The possible impact of VR on health care could be even higher than the one offered by the new communication technologies like Internet. In fact, VR is at the same tima technology, a communication interface and an experience: a communication interface based on interactive 3D visualization, able to collect and integrate in single real-like experience different inputs and data sets. However, significant efforts are still required to move VR into commercial success and therefore routine clinical use.
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Basil, Ola. "The Impact of Using Computer Techniques and Its Applications in Medicine Fields." International Journal of Information technology and Computer Engineering, no. 25 (September 27, 2022): 35–40. http://dx.doi.org/10.55529/ijitc.25.35.40.
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Due to the development in information and computer technology, these technologies have been applied in various medical fields, which is reflected in the future medical development in the areas of treatment and management of confidential information for patients. Personal health is one of the most crucial parts of everyone's life, practically all computer techniques and applications that have showed technological and scientific potential are quickly used in medicine. For this reason, it is necessary to take care of computer technologies and develop it. Moreover, studying its effect on the speed and accuracy of work in various medical field
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Marckmann, Georg, and Kenneth W. Goodman. "Introduction: Ethics of Information Technology in Health Care." International Review of Information Ethics 5 (September 1, 2006): 2–5. http://dx.doi.org/10.29173/irie188.
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Computer-based information and communication technologies continue to transform the delivery of health care and the conception and scientific understanding of the human body and the diseases that afflict it. While information technology has the potential to improve the quality and efficiency of patient care, it also raises important ethical and social issues. This IRIE theme issue seeks to provide a forum to identify, analyse and discuss the ethical and social issues raised by various applications of information and communication technology in medicine and health care. The contributions give a flavour of the extraordinarily broad landscape shaped by the intersection of medicine, computing and ethics. In fact, their diversity suggests that much more work is needed to clarify issues and approaches, and to provide practical tools for clinicians.
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Arthi.G, Lakshmana kumar. V, Sushil Kumar P N, and Rathinam J. "Ancient Siddha Approach Towards Mother and Child Health Care." International Research Journal of Ayurveda & Yoga 05, no. 07 (2022): 158–64. http://dx.doi.org/10.47223/irjay.2022.5721.
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Siddha System of medicine is the ancient traditional system. The word Siddha means accomplished or perfect.‘ The food itself is medicine and medicine itself is food’ is one of the basic principles of the Siddha system of Medicine. Siddha Medicine not only acts as a curative and also as a preventive measure. Ancient Siddhars’ (Founders of the Siddha system) described Mother care includes Antenatal, Postnatal, and also child care. The Tamil Nadu Government introduced the ‘Amma Magaperu SanjeeviScheme’ for antenatal and postnatal care. During pregnancy we have to take care of a mother, she gets stressed and fears due to various factors such as hormonal changes in the body, increase in body weight, etc. So Siddha system helps to prevent miscarriage and facilitates normal vaginal delivery. In Kuzhanthai Maruthuvam(Siddha Pediatric) Siddha's traditional formulation Urai Mathirai(Tablet) is advised for infants and children. This article briefly describes the ancient Siddha approaches to improving mother and child health care
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Quazi, Sameer, and Javid Ahmad Malik. "A Systematic Review of Personalized Health Applications through Human–Computer Interactions (HCI) on Cardiovascular Health Optimization." Journal of Cardiovascular Development and Disease 9, no. 8 (August 16, 2022): 273. http://dx.doi.org/10.3390/jcdd9080273.
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Introduction: Currently, the deployment of human–computer interactive technologies to provide personalized care has grown and immensely taken shape in most healthcare settings. With the increasing growth of the internet and technology, personalized health interventions including smartphones, associated apps, and other interventions demonstrate prowess in various health fields, including cardiovascular management. This systematic review thus examines the effectiveness of various human–computer interactions technologies through telehealth (mainly eHealth) towards optimizing the outcomes in cardiovascular treatment. Methods: A comprehensive search of MEDLINE, EMBASE, and CINAHL databases using key terms was conducted from 2000 to November 2021 to identify suitable studies that explored the use of human–computer interaction technologies to provide a personalized care approach to facilitate bolstered outcomes for cardiovascular patients, including the elderly. The included studies were assessed for quality and risk of bias, and the authors undertook a data extraction task. Results: Ten studies describing the use of a mix of personalized health app (mHealth) interventions were identified and included in the study. Among the included studies, nine of them were randomized trials. All of the studies demonstrated the effectiveness of various personalized health interventions in maximizing the benefits of cardiovascular disease treatment. Conclusions: Personalized health application interventions through precision medicine has great potential to boost cardiovascular disease management outcomes, including rehabilitation. Fundamentally, since each intervention’s focus might differ based on the disease and outcome preference, it is recommended that more research be done to tailor the interventions to specific disease and patient outcome expectations.
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An, Shinki. "Academic Medicine Is Patient-Centered Medicine." Korean Medical Education Review 21, no. 2 (June 30, 2019): 80–91. http://dx.doi.org/10.17496/kmer.2019.21.2.80.
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The tripartite mission of ‘academic medicine’ is education, research, and patient care. Academic medical centers (AMCs) are carrying out the mission and ultimately aiming to improve the health of people and communities. Globally, AMCs are facing a tremendous financial risk stemming from the changes in health insurance reimbursement plans and a shortage of human resources. Innovative AMCs in the United States are trying to transform their physician-centered, and siloed structure into a patient-centered, and integrated structure. They are also building integrated systems with primary healthcare groups to provide continuous patient care from primary to tertiary levels and making strategic networks based on value-based payment and the patient-centered model. These changes have been proven to improve outcomes of patient care and increase fiscal revenues, which are both crucial in supporting education and research. To address the shortage of human resources, programs are being built to develop newly appointed faculty for the future. AMCs have different approaches to bringing changes into their organizations; however, there is a common emphasis on ‘a patient-centered approach,’ which helps them set more explicit organizational values and make strategic decisions based on their values. Korean AMCs are facing similar challenges to AMCs in the United States in spite of many differences between the countries’ healthcare systems. The innovative efforts of AMCs in the United States to address the challenges will be helpful, well-worked examples for Korean AMCs with similar challenges.
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Nikhade, Sima, Prof Mrunalini P. Moon, Rani Dhanjode, Riya Dey, Pratiksha Selokar, Pallavi Karemore, and Prof Dr Anil Kushwaha. "Smart Medical Health Prediction System Application Using Data Mining." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (March 31, 2024): 2031–35. http://dx.doi.org/10.22214/ijraset.2024.59251.
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Abstract: This project can benefit from the use of data mining techniques in a variety of fields, including science, medicine, and education. Because of laws and computer accessibility, a lot of data is now available in the medical and health care sectors. It is no longer necessary to handle such a large amount of data at once because of the significant advancements in computer technology made by modern technology. Evaluating data mining methods for clinical and healthcare applications is one of the paper's main goals, which aims to facilitate informed decision-making. In the world of computers, this well-known and potent technology is highly sought after. It is a branch of computer science that creates new research and findings from data that is already available in various databases. It extracts new patterns from massive data sets and the knowledge associated with these patterns by utilizing Artificial Intelligence, machine learning, and database management techniques. This method can be used to extract data automatically or semi-automatically. Clustering, forecasting, path analysis, and predictive analysis are some of the various parameters used in data mining.
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Serrano, Martín, Ahmed Elmisery, Mícheál Ó. Foghlú, Willie Donnelly, Cristiano Storni, and Mikael Fernström. "Pervasive Computing Support in the Transition towards Personalised Health Systems." International Journal of E-Health and Medical Communications 2, no. 3 (July 2011): 31–47. http://dx.doi.org/10.4018/jehmc.2011070102.
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This paper discusses pervasive computing work in the transition from traditional health care programs to personalised health systems (pHealth). A chronological guided transition survey is discussed to highlight trends in medicine describing their most recent developments about health care systems. Future trends in this interdisciplinary techno-medical area are described as research goals. Particularly, research and technological efforts concerning ICT’s and pervasive computing in healthcare and medical applications are presented to identify systems requirements supporting secure and reliable networks and services. The main objectives are to summarise both the pHealth systems requirements providing end-user applications and the necessary pervasive computing support to interconnect device-based health care applications and distributed information data systems in secure and reliable forms, highlighting the role pervasive computing plays in this process. A generic personalised healthcare scheme is introduced to provide guidance in the transition and can be used for multiple medical and health applications. An example is briefly introduced by using the generic scheme proposed.
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Klumpp, Matthias, André Hanelt, Maike Greve, Lutz M. Kolbe, Schahin Tofangchi, Florian Böhrnsen, Jens Jakob, et al. "Accelerating the Front End of Medicine: Three Digital Use Cases and HCI Implications." Healthcare 10, no. 11 (October 30, 2022): 2176. http://dx.doi.org/10.3390/healthcare10112176.
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Digital applications in health care are a concurrent research and management question, where implementation experiences are a core field of information systems research. It also contributes to fighting pandemic crises like COVID-19 because contactless information flow and speed of diagnostics are improved. This paper presents three digital application case studies from emergency medicine, administration management, and cancer diagnosis with AI support from the University Medical Centers of Münster and Göttingen in Germany. All cases highlight the potential of digitalization to increase speed and efficiency within the front end of medicine as the crucial phase before patient treatment starts. General challenges for health care project implementations and human-computer interaction (HCI) concepts in health care are derived and discussed, including the importance of specific processes together with user analysis and adaption. A derived concept for HCI includes the criteria speed, accuracy, modularity, and individuality to achieve sustainable improvements within the front end of medicine.
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Sweeney, Megan, Kaavya Paruchuri, and Saul Weingart. "Going Mobile: Resident Physicians' Assessment of the Impact of Tablet Computers on Clinical Tasks, Job Satisfaction, and Quality of Care." Applied Clinical Informatics 09, no. 03 (July 2018): 588–94. http://dx.doi.org/10.1055/s-0038-1667121.
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Background There are few published studies of the use of portable or handheld computers in health care, but these devices have the potential to transform multiple aspects of clinical teaching and practice. Objective This article assesses resident physicians' perceptions and experiences with tablet computers before and after the introduction of these devices. Methods We surveyed 49 resident physicians from 8 neurology, surgery, and internal medicine clinical services before and after the introduction of tablet computers at a 415-bed Boston teaching hospital. The surveys queried respondents about their assessment of tablet computers, including the perceived impact of tablets on clinical tasks, job satisfaction, time spent at work, and quality of patient care. Results Respondents reported that it was easier (73%) and faster (70%) to use a tablet computer than to search for an available desktop. Tablets were useful for reviewing data, writing notes, and entering orders. Respondents indicated that tablet computers increased their job satisfaction (84%), reduced the amount of time spent in the hospital (51%), and improved the quality of care (65%). Conclusion The introduction of tablet computers enhanced resident physicians' perceptions of efficiency, effectiveness, and job satisfaction. Investments in this technology are warranted.
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Jeong, Dae Chul. "The Current and Future State of Academic Medicine in Korea: Education, Research, and Patient Care." Korean Medical Education Review 21, no. 2 (June 30, 2019): 73–79. http://dx.doi.org/10.17496/kmer.2019.21.2.73.
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Academic medicine is built from a foundation of education, research, and patient care. Since good patient care results from the application of medical research and continuous education, these three components cannot be separated for medical development to occur. In Korea, many obstacles hinder the achievement of academic medicine, such as an inefficient medical delivery system, limitations of primary care, low insurance prices, and no long-term health care plan. Medical education has changed to outcome-based education, but presented temporal integration status. Governance of healthcare research is not centralized, and Korea is awarded relatively fewer grants than other countries. Medical professors have reached a burnout state due to patient care responsibilities in addition to research and education duties. Many medical systems, including the medical delivery system and insurance problems, may contribute to distrust between doctors and patients. The government is not involved in a long-term health care policy. The multitude of factors mentioned here are hindering the achievement of academic medicine in Korea.
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Martin-Sanchez, F., I. Iakovidis, S. Nørager, V. Maojo, P. de Groen, J. Van der Lei, T. Jones, et al. "Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care." Journal of Biomedical Informatics 37, no. 1 (February 2004): 30–42. http://dx.doi.org/10.1016/j.jbi.2003.09.003.
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Bellini, Pierfrancesco, Ivan Bruno, Daniele Cenni, Alice Fuzier, Paolo Nesi, and Michela Paolucci. "Mobile Medicine: semantic computing management for health care applications on desktop and mobile devices." Multimedia Tools and Applications 58, no. 1 (January 8, 2011): 41–79. http://dx.doi.org/10.1007/s11042-010-0684-y.
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Islam, S. M. Riazul, Jaime Lloret, and Yousaf Bin Zikria. "Internet of Things (IoT)-Based Wireless Health: Enabling Technologies and Applications." Electronics 10, no. 2 (January 12, 2021): 148. http://dx.doi.org/10.3390/electronics10020148.
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Bhargava, Hansa, Carmela Salomon, Srinivasan Suresh, Anthony Chang, Rachel Kilian, Diana van Stijn, Albert Oriol, Daniel Low, Ashley Knebel, and Sharief Taraman. "Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics." Journal of Medical Internet Research 26 (February 29, 2024): e49022. http://dx.doi.org/10.2196/49022.
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Artificial intelligence (AI) broadly describes a branch of computer science focused on developing machines capable of performing tasks typically associated with human intelligence. Those who connect AI with the world of science fiction may meet its growing rise with hesitancy or outright skepticism. However, AI is becoming increasingly pervasive in our society, from algorithms helping to sift through airline fares to substituting words in emails and SMS text messages based on user choices. Data collection is ongoing and is being leveraged by software platforms to analyze patterns and make predictions across multiple industries. Health care is gradually becoming part of this technological transformation, as advancements in computational power and storage converge with the rapid expansion of digitized medical information. Given the growing and inevitable integration of AI into health care systems, it is our viewpoint that pediatricians urgently require training and orientation to the uses, promises, and pitfalls of AI in medicine. AI is unlikely to solve the full array of complex challenges confronting pediatricians today; however, if used responsibly, it holds great potential to improve many aspects of care for providers, children, and families. Our aim in this viewpoint is to provide clinicians with a targeted introduction to the field of AI in pediatrics, including key promises, pitfalls, and clinical applications, so they can play a more active role in shaping the future impact of AI in medicine.
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Masic, Izet. "The History and New Trends of Medical Informatics." Donald School Journal of Ultrasound in Obstetrics and Gynecology 7, no. 3 (2013): 301–12. http://dx.doi.org/10.5005/jp-journals-10009-1298.
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ABSTRACT The breakthrough of the computer and information technologies in all the segments of the society, led to the needs for the computer and information technologies. The knowledge of information technology is now part of general literacy. The computer literacy does not require comprehensive and detailed knowledge of the electronics or programming. Although with the electronic computer which is the invention of our age, the attempts of the construction of the first machine for the processing of the information reach far in the history of human civilization. The only and global function of a computer data processing can be naturally separated into the series of the other elementary operations, as for examples are: ‘the followup of the data, their registration, reproduction, selection, sorting, and comparison’ and so on. The computers are being classified according to ‘the purpose, type and computer size’. According to the purpose the computers it can be of the general and specific purposes. The computers for the general purpose serve for the commercial applications or any other application that is necessary. If medical informatics is regarded as a scientific discipline dealing with theory and practice of information processes in medicine, comprising data communication by information and communication technologies (ICT), with computers as an especially important ICT, then it can be stated that the history medical informatics is connected with the beginnings of computer usage in medicine. The medical informatics is the foundation for understanding and practice of the up-to-day medicine. Its basic tool is the computer, subject of studying and the means by which the aspects and achieve the new knowledge in the studying of a man, his health and disease, and functioning of the total health activities. Current network system possesses the limited global performance in the organization of health care, and that is especially expressed in the clinical medicine, where the computer technology has not received the wanted applications yet. In front of us lies the brilliant future of the medical informatics. It should expect that the application of terminal and personal computers with more simple manners of operation will enable routine use of computer technology by all health professionals in the fields of telemedicine, distance learning (DL) (web-based medical education), application of ICT, medical robotics, genomics, etc. The development of nature languages for communication with the computers and the identification of input voice will make the work simpler. Regarding the future of medical informatics education there are numerous controversies. Everybody agrees that the medical informatics is very significant for the whole health care and for the needs for personnel. However, there is not yet the general agreement regarding the teaching programs, because the medical informatics is very involved and propulsive, what makes the performance of the stable education programs more difficult. There are also not general agreement in which year of studding should transfer the knowledge from medical informatics. The majority of the experts still agree that the priority should be given in later study years, since more and more students enroll the faculties with prior informatics illiteracy, and the comprehension of some medical informatics fields is not possible without prior clinical knowledge. How to cite this article Masic I. The History and New Trends of Medical Informatics. Donald School J Ultrasound Obstet Gynecol 2013;7(3):301-312.
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Moehr, J. R. "Where to in the Next Ten Years of Health Informatics Education?" Methods of Information in Medicine 45, no. 03 (2006): 283–87. http://dx.doi.org/10.1055/s-0038-1634076.
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Summary Objectives: To explore whether education in health/ medical informaticsa should continue to evolve along the lines pursued since the early seventies, or whether a change is advisable. Methods: Roots and key resulting characteristics for European and US American approaches HI education are identified. In Europe holistic approaches based on a synthesis of medicine and informatics (= computer science) with programs ranging from vocational training through university programs to doctoral and postdoctoral programs were characteristic. The US American approaches emphasized the higher levels of education and a diverse selection of specialized subjects. Changes in health and health informatics are summarized. Results: Two types of changes are identified: high-tech applications arising at the interface of imaging, robotics, and the -omics (genomics, proteomics, metabolomics), and invasive applications centering on consumer health informatics and a move from curative to prospective health care. Conclusions: It is proposed that curative medicine is adequately served by current educational approaches, but that the move towards prospective health care requires a move towards education and change management for health professionals and health informatics professionals.
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Misra, Subhas C., Sandip Bisui, and Kamel Fantazy. "Identifying Critical Changes in Adoption of Personalized Medicine (PM) in Healthcare Management." International Journal of E-Health and Medical Communications 7, no. 3 (July 2016): 1–15. http://dx.doi.org/10.4018/ijehmc.2016070101.
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Among the emerging areas in health-care system, the implementation of Electronic Medical Record system and the discovery of Personalized Medicine are occupying top positions. While some of the personalized drugs have already been discovered, implementing this new medicare system requires a lot of changes in the traditional health-care system. This paper aims at identifying these critical changes required in the adoption of the Personalized Medicine system. A systemic attempt has been made to prepare a list of possible changes required for the adoption based on available literature. This research study shows that changes from reactive to efficient medical care, from trial and error to right treatment for right person at right time, from narrow mind-set to open mindedness, from open information of patients to secure information, from less emphasis on IT infrastructure to more emphasis on IT infrastructure are some of the significant changes that are necessary for implementing the revolutionary medicare system of personalized Medicine.
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Cassinadane, Ananda Vayaravel, Akshaya Sridhar, Priyanka Sekar, and Sami Ranajan Sahoo. "Internet of things in medicine and dentistry." International Journal of Clinical Biochemistry and Research 9, no. 2 (June 15, 2022): 98–105. http://dx.doi.org/10.18231/j.ijcbr.2022.020.
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The internet of Things (IoT) in medical arena, also known as internet of medical things (IoMT) is the collection of medical devices and application connecting healthcare Information Technology (IT) system by means of online computer networks. It enables virtually any medical devices as well as non digitalized things (like pills and beds) to connect process and communicate data via web. IoMT allows medical devices and health-care items to exchange data on the spot, online with anyone who has a genuine need for it. The aura of IoMT includes wireless communication technologies, cloud computing, wearable technologies, messaging protocols, security methods, development boards, microcontrollers, mobile/IoT operating systems, and programming languages, built upon numerous technologies including advanced sensors, IoT connectivity and artificial intelligence (AI). IoMT can improve healthcare quality and reduce costs too in hospitals and clinics. In places where distance is the limiting factor, Telemedicine plays a vital role in remote patient monitoring. Major applications include biomedical equipment remote monitoring, remote patient monitoring biosensors and radio frequency identification. IoT in Dentistry aims to streamline oral health care by enhancing oral health while reducing costs, promoting workflow, relieving dentists and dental workers of tedious and time-consuming activities, and igniting interest in personalized oral health care.
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Andrews, Anya. "Integration of Augmented Reality and Brain-Computer Interface Technologies for Health Care Applications: Exploratory and Prototyping Study." JMIR Formative Research 6, no. 4 (April 21, 2022): e18222. http://dx.doi.org/10.2196/18222.
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Background Augmented reality (AR) and brain-computer interface (BCI) are promising technologies that have a tremendous potential to revolutionize health care. While there has been a growing interest in these technologies for medical applications in the recent years, the combined use of AR and BCI remains a fairly unexplored area that offers significant opportunities for improving health care professional education and clinical practice. This paper describes a recent study to explore the integration of AR and BCI technologies for health care applications. Objective The described effort aims to advance an understanding of how AR and BCI technologies can effectively work together to transform modern health care practice by providing new mechanisms to improve patient and provider learning, communication, and shared decision-making. Methods The study methods included an environmental scan of AR and BCI technologies currently used in health care, a use case analysis for a combined AR-BCI capability, and development of an integrated AR-BCI prototype solution for health care applications. Results The study resulted in a novel interface technology solution that enables interoperability between consumer-grade wearable AR and BCI devices and provides the users with an ability to control digital objects in augmented reality using neural commands. The article discusses this novel solution within the context of practical digital health use cases developed during the course of the study where the combined AR and BCI technologies are anticipated to produce the most impact. Conclusions As one of the pioneering efforts in the area of AR and BCI integration, the study presents a practical implementation pathway for AR-BCI integration and provides directions for future research and innovation in this area.
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Bin, Kaio Jia, Adler Araujo Ribeiro Melo, José Guilherme Moraes Franco da Rocha, Renata Pivi de Almeida, Vilson Cobello Junior, Fernando Liebhart Maia, Elizabeth de Faria, Antonio José Pereira, Linamara Rizzo Battistella, and Suzane Kioko Ono. "The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study." JMIR Formative Research 6, no. 2 (February 1, 2022): e29012. http://dx.doi.org/10.2196/29012.
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Background To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clínicas of the Faculdade de Medicina da Universidade de São Paulo during the COVID-19 pandemic. Objective The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect on the nurses’ time required for screening and the waiting time for patients to receive medical care. Methods This was a single-center, comparative, prospective study designed according to the Public Health England guide “Evaluating Digital Products for Health.” A total of 38,042 visits were analyzed over 18 months to determine the impact of implementing the digital solution. Medical care registration, health screening, and waiting time for medical care were compared before and after implementation of the digital solution. Results The digital solution automated 92% of medical care registrations. The time for health screening increased by approximately 16% during the implementation and in the first 3 months after the implementation. The waiting time for medical care after automation with the digital solution was reduced by approximately 12 minutes compared with that required for visits without automation. The total time savings in the 12 months after implementation was estimated to be 2508 hours. Conclusions The digital solution was able to reduce nonvalue-added activities, without a substantial impact on health screening, and further saved waiting time for medical care in an urgent care service in Brazil during the COVID-19 pandemic.
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Keng Siau. "Health care informatics." IEEE Transactions on Information Technology in Biomedicine 7, no. 1 (March 2003): 1–7. http://dx.doi.org/10.1109/titb.2002.805449.
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Richter, Schneider, and Klein-Weigel. "Computer and internet use in vascular outpatients - ready for interactive applications?" Vasa 38, no. 4 (November 1, 2009): 338–45. http://dx.doi.org/10.1024/0301-1526.38.4.338.
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Background: Exploring patients’ computer and internet use, their expectations and attitudes is mandatory for successful introduction of interactive online health-care applications in Angiology. Patients and methods: We included 165 outpatients suffering from peripheral arterial disease (PAD; n = 62) and chronic venous and / or lymphatic disease (CVLD; n = 103) in a cross-sectional-study. Patients answered a paper-based questionnaire. Results: Patients were predominantly female (54.5 %). 142 (86.1 %) reported regular computer use for 9.7 ± 5.8 years and 134 (81.2 %) used the internet for 6.2 ± 3.6 years. CVLD-patients and internet-user were younger and higher educated, resulting in a significant difference in computer and internet use between the disease groups (p < 0.01 for both). Time spent online summed up to 4.3 ± 2.2 days per week and 1.44 ± 1.2 hours per day for all internet users without significant differences between the groups. The topics retrieved from the internet covered a wide spectrum and searches for health information were mentioned by 41.2 %. Although confidence in the internet (3.3 ± 1.1 on a 1-6 Likert scale) and reliability in information retrieved from the internet (3.1 ± 1.1) were relatively low, health-related issues were of high actual and future interest. 42.8 % of the patients were even interested in interactive applications like health educational programs, 37.4 % in self-reported assessments and outcome questionnaires and 26.9 % in chatforums; 50 % demanded access to their medical data on an Internetserver. Compared to older participants those < 50 yrs. used the internet more often for shopping, chatting, and e-mailing, but not for health information retrieval and interactive applications. Conclusions: Computers are commonly used and the internet has been adopted as an important source of information by patients suffering from PAD and CVLD. Besides, the internet offers great potentials and new opportunities for interactive disease (self-)management in angiology. To increase confidence and reliability in the medium a careful introduction and evaluation of these new online applications is mandatory.
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B. Christina Sweetline, C. Vijayakumaran, and A. Samydurai. "Patient Monitoring for Personalized Mobile Health (PMH) based on Medical Virtual Instruments." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 16 (August 21, 2023): 82–94. http://dx.doi.org/10.3991/ijim.v17i16.42687.
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One of the newest technologies, mobile health, has the potential to support the provision of care for older adults and offer them individualised treatment. This study’s goal is to evaluate the benefits and challenges of personalised mobile health (PMH) for elderly residential care. Virtual worlds are quickly integrating into the landscape of instructional technologies. One of the most well-known of these settings is Second Life (SL). Despite the potential of SL for health professions education, there aren’t many official SL applications for this purpose, and the effectiveness of these applications hasn’t been evaluated to the fullest extent possible. Similarly, it appears that nothing is known about the use of virtual worlds for continuing medical education. In order to better grasp the fundamentals of the aid of MVIs for personal health monitoring (PHM), we were able to pinpoint the key disease regions, sensors, channels, calculations and communication protocols. The main obstacles limiting MVIs’ degree of integration into the international health care system were also identified. The analysis demonstrates that MVIs offer an excellent possibility for the creation of affordable, personalised health systems that meet the unique equipment requirements of a certain field of medicine.
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Chen, A., K. Vayrynen, R. L. Leskela, P. Torkki, S. Heinonen, A. Tekay, and G. Acharya. "The Acceptability of Implementing Patient-Reported Measures in Routine Maternity Care: A Systematic Review." Obstetric Anesthesia Digest 44, no. 1 (February 22, 2024): 37–38. http://dx.doi.org/10.1097/01.aoa.0001005412.31845.33.
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(Acta Obstet Gynecol Scand AOGS. 2023; 102: 406–419) Patient-reported measures (PRMs) can be an important tool in assessing and capturing a patient’s perspective care in maternal medicine. By using PRMs, health care providers can measure the overall health and well-being of patients while they receive obstetric treatment, allowing more patient-centered care.
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Akins, Ralitsa, and Hoi Ho. "Clinical Simulation in Modern Teaching and Training of Sonography in Obstetrics and Gynecology." Donald School Journal of Ultrasound in Obstetrics and Gynecology 3, no. 4 (2009): 17–21. http://dx.doi.org/10.5005/jp-journals-10009-1030.
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Abstract Advances in computer technology, hardware and software have made ultrasound a diagnostic imaging technique of choice in certain areas of medicine or specialties such as obstetrics and gynecology. In teaching and training of obs/gyne ultrasonography, medical educators can utilize different forms of clinical simulators: traditional standardized patients and standard ultrasound diagnostic equipment, computer-based simulators, ultrasound simulators or ultrasound simulators with manikins. The popularity of a simulator is determined not only by its features, ease of use and cost, but also by its available learning modules and applications. Technology in ultrasound and computers are rapidly advancing in enhancing the quality and miniaturizing ultrasound machines. Portable and handheld ultrasound equipments are quickly becoming indispensable diagnostic instruments in different health care settings especially the emergency rooms and physician offices. Concerns, however, remain related to the lack of competence of health care providers in using and interpreting results of ultrasound studies, and the needs to standardize the training in ultrasonography. It is important to have access to one or more ultrasound simulators; however, it is even more important to establish and integrate fundamental structure of training ultrasonography into the main training curriculum of undergraduate, graduate, and postgraduate medical education.
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Pandey, Dr Abhishek, Dr Dhiral Vijayavargiya, Dr Priyabrata Jena, Dr Pujitha Yalavarthy, Dr Lekha Nalluri, and Dr Saurabh Prakash Vairagade. "Application of CBCT in Oral Medicine: A Review." Academia Journal of Medicine 7, no. 1 (April 27, 2024): 49–53. http://dx.doi.org/10.62245/ajm.v7.i1.8.
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Cone Beam Computed Tomography (CBCT) represents a significant advancement in the field of Oral Medicine, offering three-dimensional imaging that provides detailed anatomical information. This imaging technique has revolutionized the way clinicians diagnose, plan treatment, and manage a wide range of dental and maxillofacial conditions. The applications of CBCT in Oral Medicine are vast, ranging from implantology and orthodontics to endodontics and maxillofacial surgery. This paper explores the key applications of CBCT in oral health care, emphasizing its advantages over traditional two-dimensional imaging techniques, and discusses the implications of its use in clinical practice.
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Ti, Yen-Wu, Shang-Kuan Chen, and Wen-Chieh Wu. "A New Visual Cryptography-Based QR Code System for Medication Administration." Mobile Information Systems 2020 (November 3, 2020): 1–10. http://dx.doi.org/10.1155/2020/8885242.
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In health care, medication errors can result in serious health risks to patients, and hospitals require a secure medication administration system to prevent such errors. This paper therefore proposes a secure medication administration method based on threshold sharing technology. When a patient visits a doctor and the doctor prescribes n medications, a photo and the personal information of the patient are encoded into n QR code transparencies that can be decoded by common QR code scanners available for smartphones. The prescription and n QR code transparencies are then stored in a hospital’s medication administration system. When the patient receives their medicine, they can scan these n QR code transparencies using a smartphone to ensure that they have all the medicines prescribed by the doctor; this function is accessible even if the patient’s phone does not have Internet access. The main purpose of the proposed system is to prevent hospitals from giving medicine to the wrong patient, or giving less than the prescribed dosage of medicine to the patient. The focus is not on the internal medicine packaging process in hospitals but on reducing the probability of counter staff giving medicine to the wrong patient. This function is of considerable importance to non-English-speaking people who are not used to reading medicine names in English.
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Scott, John, Peter Yellowlees, Daniel F. Becker, and Christopher Chen. "Virtual Care and Mental Health: Dismantling Silos to Strengthen Care Delivery." Telemedicine Reports 4, no. 1 (July 1, 2023): 174–79. http://dx.doi.org/10.1089/tmr.2023.0016.
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Necheporenko, N. I., T. V. Peresypkina, and T. P. Sidorenko. "Use of innovative computer technologies in providing health monitoring of children and adolescents of school age." Klinical Informatics and Telemedicine 15, no. 16 (December 7, 2020): 142–47. http://dx.doi.org/10.31071/kit2020.16.13.
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Introduction. The current achievements of modern science are the use of specialized automated systems and applications in various fields of medicine. In the current context of health care reform, the burden on health workers who provide medical care to school-age children is growing. The purpose of the work. With the declining level of children’s health, the system of optimizing the monitoring of children’s health and their physical development is becoming an urgent issue. Results. The proposed program is based on MS Access, VBA programming language. Designed for a comprehensive automatic assessment of physical development of students on the basis of anthropometric and physiometric indicators, functional capabilities of the body and the data of medical examination. The program provides the possibility of longitudinal observation (accumulation of data) on the health and physical development of students of an educational institution or classroom during the entire period of study of students. The result of the program is the formation of reports that describe the results of medical examinations to determine the proportion of students, physical or sexual development, visual or hearing acuity which meets or does not meet the normative age. Also, students who need further counseling from specialists in various fields are identified. Conclusions. The use of the proposed software will help to improve the organization of medical care by increasing the effectiveness of health monitoring and optimizing the work of health care workers or educational institutions. Key words: Medical examinations; Database; Software packages; Children’s health.
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Vallabhaneni, Nagalakshmi, and Dr P. Prabhavathy. "Analysis of the Impact of Yoga on Health Care Applications and Human Pose Recognition." ECS Transactions 107, no. 1 (April 24, 2022): 7889–98. http://dx.doi.org/10.1149/10701.7889ecst.
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Human Pose Recognition is a powerful computer vision strategy that has revealed several problems. Separating human exercise is beneficial in various fields, including health observation, biometrics, and a wide range of medical care applications. These days, yoga poses are famous for practice because they can improve muscular quality and increase breathing exercises. However, because evaluating yoga stances is complicated, experts will be unable to profit from the activities in the long run. For people who want to practice yoga at home, IoT-based yoga systems are required. Several studies have suggested that camera-based or wearable devices can better arrange yoga pose discovering approaches. On the other hand, camera-based methods have security and protection issues, and wearable device-based strategies have proven irrational in existing applications. A solid foundation and ongoing research in pose assessment are required to construct such a framework. First, using real-time data, this paper investigates the effect of yoga on people experiencing various anxiety levels. Second, a comprehensive survey of yoga pose detection frameworks, ranging from machine learning to deep learning techniques and assessment measurements, was carried out.
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DEMİREL, Assist Prof Dr Demokaan. "Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey." European Journal of Multidisciplinary Studies 5, no. 1 (May 19, 2017): 122. http://dx.doi.org/10.26417/ejms.v5i1.p122-131.
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The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.
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Klumpp, Matthias, Marcus Hintze, Milla Immonen, Francisco Ródenas-Rigla, Francesco Pilati, Fernando Aparicio-Martínez, Dilay Çelebi, et al. "Artificial Intelligence for Hospital Health Care: Application Cases and Answers to Challenges in European Hospitals." Healthcare 9, no. 8 (July 29, 2021): 961. http://dx.doi.org/10.3390/healthcare9080961.
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The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce. As a first step towards structuring and comparing such experiences, this paper is presenting a comparative approach from nine European hospitals and eleven different use cases with possible application areas and benefits of hospital AI technologies. This is structured as a current review and opinion article from a diverse range of researchers and health care professionals. This contributes to important improvement options also for pandemic crises challenges, e.g., the current COVID-19 situation. The expected advantages as well as challenges regarding data protection, privacy, or human acceptance are reported. Altogether, the diversity of application cases is a core characteristic of AI applications in hospitals, and this requires a specific approach for successful implementation in the health care sector. This can include specialized solutions for hospitals regarding human–computer interaction, data management, and communication in AI implementation projects.
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Alauddin, Muhammad Syafiq, Ahmad Syukran Baharuddin, and Mohd Ifwat Mohd Ghazali. "The Modern and Digital Transformation of Oral Health Care: A Mini Review." Healthcare 9, no. 2 (January 25, 2021): 118. http://dx.doi.org/10.3390/healthcare9020118.
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Dentistry is a part of the field of medicine which is advocated in this digital revolution. The increasing trend in dentistry digitalization has led to the advancement in computer-derived data processing and manufacturing. This progress has been exponentially supported by the Internet of medical things (IoMT), big data and analytical algorithm, internet and communication technologies (ICT) including digital social media, augmented and virtual reality (AR and VR), and artificial intelligence (AI). The interplay between these sophisticated digital aspects has dramatically changed the healthcare and biomedical sectors, especially for dentistry. This myriad of applications of technologies will not only be able to streamline oral health care, facilitate workflow, increase oral health at a fraction of the current conventional cost, relieve dentist and dental auxiliary staff from routine and laborious tasks, but also ignite participatory in personalized oral health care. This narrative article review highlights recent dentistry digitalization encompassing technological advancement, limitations, challenges, and conceptual theoretical modern approaches in oral health prevention and care, particularly in ensuring the quality, efficiency, and strategic dental care in the modern era of dentistry.
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Belahsen, Rekia, Hamid Chamlal, and Mohammed Sahmad. "Remote health care of gestational diabetes in the era of the COVID-19 pandemic: A web monitoring application." International Journal of Scientific Research and Management 10, no. 06 (June 21, 2022): 881–85. http://dx.doi.org/10.18535/ijsrm/v10i6.ec02.
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The advent of the Covid-19 pandemic has led states around the world to impose several preventive measures in order to limit the spread of the infection, particularly among vulnerable people, including pregnant women. Indeed, a limitation of access to prenatal care has been observed at the level of recognized health structures, such as health centers; birthing homes; hospitals, general medicine or obstetrics gynecology practices. These systematic effects on the continuity of prenatal care as well as on the follow-up of gestational diabetes can lead to serious consequences for the mother/newborn couple. In this context coinciding with the era of digital health and from a reactive perception to overcome crisis situations, an innovative alternative is proposed by the development of a computer application allowing the realization of remote care. It is a means of communication between the caregiver and the patient and a facilitator of follow-up of gestational diabetes. It is applicable in both the public and private sectors and does not require a lot of resources or a high intellectual level.
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Martens, Frank, and Frank Bertschat. "A BASIC program for calculation of often needed parameters in intensive care medicine." Computers in Biology and Medicine 17, no. 5 (January 1987): 341–49. http://dx.doi.org/10.1016/0010-4825(87)90023-0.
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Tong, Yao, Zachary C. Liao, Peter Tarczy-Hornoch, and Gang Luo. "Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study." JMIR Formative Research 5, no. 10 (October 7, 2021): e26314. http://dx.doi.org/10.2196/26314.
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Background For several major chronic diseases including asthma, chronic obstructive pulmonary disease, chronic kidney disease, and diabetes, a state-of-the-art method to avert poor outcomes is to use predictive models to identify future high-cost patients for preemptive care management interventions. Frequently, an American patient obtains care from multiple health care systems, each managed by a distinct institution. As the patient’s medical data are spread across these health care systems, none has complete medical data for the patient. The task of building models to predict an individual patient’s cost is currently thought to be impractical with incomplete data, which limits the use of care management to improve outcomes. Recently, we developed a constraint-based method to identify patients who are apt to obtain care mostly within a given health care system. Our method was shown to work well for the cohort of all adult patients at the University of Washington Medicine for a 6-month follow-up period. It is unknown how well our method works for patients with various chronic diseases and over follow-up periods of different lengths, and subsequently, whether it is reasonable to perform this predictive modeling task on the subset of patients pinpointed by our method. Objective To understand our method’s potential to enable this predictive modeling task on incomplete medical data, this study assesses our method’s performance at the University of Washington Medicine on 5 subgroups of adult patients with major chronic diseases and over follow-up periods of 2 different lengths. Methods We used University of Washington Medicine data for all adult patients who obtained care at the University of Washington Medicine in 2018 and PreManage data containing usage information from all hospitals in Washington state in 2019. We evaluated our method’s performance over the follow-up periods of 6 months and 12 months on 5 patient subgroups separately—asthma, chronic kidney disease, type 1 diabetes, type 2 diabetes, and chronic obstructive pulmonary disease. Results Our method identified 21.81% (3194/14,644) of University of Washington Medicine adult patients with asthma. Around 66.75% (797/1194) and 67.13% (1997/2975) of their emergency department visits and inpatient stays took place within the University of Washington Medicine system in the subsequent 6 months and in the subsequent 12 months, respectively, approximately double the corresponding percentage for all University of Washington Medicine adult patients with asthma. The performance for adult patients with chronic kidney disease, adult patients with chronic obstructive pulmonary disease, adult patients with type 1 diabetes, and adult patients with type 2 diabetes was reasonably similar to that for adult patients with asthma. Conclusions For each of the 5 chronic diseases most relevant to care management, our method can pinpoint a reasonably large subset of patients who are apt to obtain care mostly within the University of Washington Medicine system. This opens the door to building models to predict an individual patient’s cost on incomplete data, which was formerly deemed impractical. International Registered Report Identifier (IRRID) RR2-10.2196/13783
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Bayraktar, Mustafa, and Muhammet Mutlu. "Insufficient Knowledge About Primary Health Care Services: Is It the Reason for Not Applying to Family Medicine?" Cerrahpasa Medical Journal 46, no. 2 (July 29, 2022): 91–96. http://dx.doi.org/10.5152/cjm.2022.22008.
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Wray, Charlie, Janet Tang, Amy Byers, and Salomeh Keyhani. "Digital Health Skillsets and Digital Preparedness: Comparison of Veterans Health Administration Users and Other Veterans Nationally." JMIR Formative Research 6, no. 1 (January 28, 2022): e32764. http://dx.doi.org/10.2196/32764.
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Background As health care systems shift to greater use of telemedicine and digital tools, an individual’s digital health literacy has become an important skillset. The Veterans Health Administration (VA) has invested resources in providing digital health care; however, to date, no study has compared the digital health skills and preparedness of veterans receiving care in the VA to veterans receiving care outside the VA. Objective The goal of the research was to describe digital health skills and preparedness among veterans who receive care within and outside the VA health care system and examine whether receiving care in the VA is associated with digital preparedness (reporting more than 2 digital health skills) after accounting for demographic and social risk factors. Methods We used cross-sectional data from the 2016-2018 National Health Interview Survey to identify veterans (aged over 18 years) who obtain health care either within or outside the VA health care system. We used multivariable logistic regression models to examine the association of sociodemographic (age, sex, race, ethnicity), social risk factors (economic instability, disadvantaged neighborhood, low educational attainment, and social isolation), and health care delivery location (VA and non-VA) with digital preparedness. Results Those who received health care within the VA health care system (n=3188) were younger (age 18-49 years: 33.3% [95% CI 30.7-36.0] vs 24.2% [95% CI 21.9-26.5], P<.01), were more often female (34.7% [95% CI 32.0-37.3] vs 6.6% [95% CI 5.5-7.6], P<.01) and identified as Black (13.1% [95% CI 11.2-15.0] vs 10.2% [95% CI 8.7-11.8], P<.01), and reported greater economic instability (8.3% [95% CI 6.9-9.8] vs 5.5% [95% CI 4.6-6.5], P<.01) and social isolation (42.6% [95% CI 40.3-44.9] vs 35.4% [95% CI 33.4-37.5], P<.01) compared to veterans who received care outside the VA (n=3393). Veterans who obtained care within the VA reported more digital health skills than those who obtained care outside the VA, endorsing greater rates of looking up health information on the internet (51.8% [95% CI 49.2-54.4] vs 45.0% [95% CI 42.6-47.3], P<.01), filling a prescription using the internet (16.2% [95% CI 14.5-18.0] vs 11.3% [95% CI 9.6-13.0], P<.01), scheduling a health care appointment on the internet (14.1% [95% CI 12.4-15.8] vs 11.6% [95% CI 10.1-13.1], P=.02), and communicating with a health care provider by email (18.0% [95% CI 16.1-19.8] vs 13.3% [95% CI 11.6-14.9], P<.01). Following adjustment for sociodemographic and social risk factors, receiving health care from the VA was the only characteristic associated with higher odds (adjusted odds ratio [aOR] 1.36, 95% CI 1.12-1.65) of being digitally prepared. Conclusions Despite these demographic disadvantages to digital uptake, veterans who receive care in the VA reported more digital health skills and appear more digitally prepared than veterans who do not receive care within the VA, suggesting a positive, system-level influence on this cohort.
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Kannry, Joseph, Jeff Smith, Vishnu Mohan, Bruce Levy, John Finnell, and Christoph U. Lehmann. "Policy Statement on Clinical Informatics Fellowships and the Future of Informatics-Driven Medicine." Applied Clinical Informatics 11, no. 05 (October 2020): 710–13. http://dx.doi.org/10.1055/s-0040-1717117.
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AbstractBoard certified clinical informaticians provide expertise in leveraging health IT (HIT) and health data for patient care and quality improvement. Clinical Informatics experts possess the requisite skills and competencies to make systems-level improvements in care delivery using HIT, workflow and data analytics, knowledge acquisition, clinical decision support, data visualization, and related informatics tools. However, these physicians lack structured and sustained funding because they have no billing codes. The sustainability and growth of this new and promising medical subspecialty is threatened by outdated and inconsistent funding models that fail to support the education and professional growth of clinical informaticians. The Clinical Informatics Program Directors' Community is calling upon the Centers for Medicare and Medicaid Services to consider novel funding structures and programs through its Innovation Center for Clinical Informatics Fellowship training. Only through structural and sustained funding for Clinical Informatics fellows will be able to fully develop the potential of electronic health records to improve the quality, safety, and cost of clinical care.
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Shah, Nihar, Andrew J. Goodwin, Rebecca Verdin, John T. Clark, Alyssa A. Rheingold, Kenneth J. Ruggiero, Annie N. Simpson, and Dee W. Ford. "Evaluation of a Telehealth-Enabled Pilot Program to Address Intensive Care Unit Health Care Worker Mental Health Distress." Telemedicine Reports 4, no. 1 (August 1, 2023): 249–58. http://dx.doi.org/10.1089/tmr.2023.0030.
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Cruz, Cristian, and Miguel Lombardo. "Proposal of a Context-sensitive ECG Collection Mobile Health System for Ambulatory Cardiovascular Diseases." Acta Informatica Medica 31, no. 1 (2023): 26. http://dx.doi.org/10.5455/aim.2023.31.26-30.
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Background: This study brings innovation oriented to the development of e-health services to improve the performance of healthcare and hospital care in free-living activities. Objective: This article seeks to propose an innovative mobile software that enables the contextualization of clinical data, while integrating the fundamental functionalities and usability criteria of a mobile health (mhealth) system. Methods: We examine the utility of a context-sensitive mobile electrocardiogram (ECG) collection system for the detection of cardiovascular diseases for patients in free-living conditions. Results: We propose an mhealth system that reinforces conventional healthcare systems in which electronic health records are limited by access and processing of data, limiting clinical–medical decision-making. This study highlights the importance of mobile applications for self-care and their usefulness for both patients and healthcare providers. The proposal offers an avenue for the study of contextualized ECG collection methods that can be used to create context-specific actions that reduce false alarms in computer-aided diagnosis of ambulatory ECG. Conclusion: Mobile applications for health care and monitoring improve the quality of life of people with cardiovascular diseases.
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A. Shah, Radhika, Kalpana G. Patel, and Purvi Shah. "Comparative overview of enhancing Drug pricing transparency in India and USA." International Journal of Drug Regulatory Affairs 10, no. 1 (March 16, 2022): 35–39. http://dx.doi.org/10.22270/ijdra.v10i1.508.
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The United States and other different countries, drug prices are out of control. In that the prescription drug prices increasingly the medical costs and other different healthcare costs. The branded drugs are launched with high prices that increase by double percentage over year. So, many states and countries are focusing on new ways or new approaches to drug pricing problems using different ways and clarity about drug price transparency are mainly that the study about drug transparency and identify the cost key drivers. India is one of the world's developing countries. The ability to obtain health-related services at a reasonable cost is a major worry for them. As a result, medical costs are a determining element for health-care facilities, particularly when it comes to price management of health-care institutions with a greater budget. NPPA (National Pharmaceutical Pricing Authority) and DPCO (Department of Pharmaceutical Pricing and Control) are two Indian regulatory bodies that oversee pharmaceutical pricing (Drug Pricing control order). Despite the establishment of the DPCO, significant price fluctuation is observed between goods containing the same API (Active Pharmaceutical Ingredient), and various reasons are responsible for this. TRIPS (Trade Related Intellectual Property Rights) offers Compulsory Licenses for which drugs have a distinctive function to play in the affordability of medicines to minimize the stated problem and govern the trade practice by patent holder/brand maker. Essential medicine is a basic requirement of the health-care system in order to serve its consumers, and as a result, an effective and overt price restriction on drugs is currently required.
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Hassan, Mubashir, Faryal Mehwish Awan, Anam Naz, Enrique J. deAndrés-Galiana, Oscar Alvarez, Ana Cernea, Lucas Fernández-Brillet, Juan Luis Fernández-Martínez, and Andrzej Kloczkowski. "Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review." International Journal of Molecular Sciences 23, no. 9 (April 22, 2022): 4645. http://dx.doi.org/10.3390/ijms23094645.
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Big data in health care is a fast-growing field and a new paradigm that is transforming case-based studies to large-scale, data-driven research. As big data is dependent on the advancement of new data standards, technology, and relevant research, the future development of big data applications holds foreseeable promise in the modern day health care revolution. Enormously large, rapidly growing collections of biomedical omics-data (genomics, proteomics, transcriptomics, metabolomics, glycomics, etc.) and clinical data create major challenges and opportunities for their analysis and interpretation and open new computational gateways to address these issues. The design of new robust algorithms that are most suitable to properly analyze this big data by taking into account individual variability in genes has enabled the creation of precision (personalized) medicine. We reviewed and highlighted the significance of big data analytics for personalized medicine and health care by focusing mostly on machine learning perspectives on personalized medicine, genomic data models with respect to personalized medicine, the application of data mining algorithms for personalized medicine as well as the challenges we are facing right now in big data analytics.
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Grange, Elisha S., Eric J. Neil, Michelle Stoffel, Angad P. Singh, Ethan Tseng, Kelly Resco-Summers, B. Jane Fellner, et al. "Responding to COVID-19: The UW Medicine Information Technology Services Experience." Applied Clinical Informatics 11, no. 02 (March 2020): 265–75. http://dx.doi.org/10.1055/s-0040-1709715.
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Abstract Background UW Medicine was one of the first health systems to encounter and treat COVID-19 patients in the United States, starting in late February 2020. Objective Here we describe the rapid rollout of capabilities by UW Medicine Information Technology Services (ITS) to support our clinical response to the COVID-19 pandemic and provide recommendations for health systems to urgently consider, as they plan their own response to this and potentially other future pandemics. Methods Our recommendations include establishing a hospital incident command structure that includes tight integration with IT, creating automated dashboards for incident command, optimizing emergency communication to staff and patients, and preparing human resources, security, other policies, and equipment to support the transition of all nonessential staff to telework.We describe how UW Medicine quickly expanded telemedicine capabilities to include most primary care providers and increasing numbers of specialty providers. We look at how we managed expedited change control processes to quickly update electronic health records (EHR) with new COVID-19 laboratory and clinical workflows. We also examine the integration of new technology such as tele–intensive care (ICU) equipment and improved integration with teleconferencing software into our EHR. To support the rapid preparation for COVID-19 at other health systems, we include samples of the UW Medicine's COVID-19 order set, COVID-19 documentation template, dashboard metric categories, and a list of the top 10 things your health care IT organization can do now to prepare. Conclusion The COVID-19 response requires new and expedited ways of approaching ITS support to clinical needs. UW Medicine ITS leadership hope that by quickly sharing our nimble response to clinical and operational requests, we can help other systems prepare to respond to this public health emergency.
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Leroy, V., S. Maurice-Tison, B. Le Blanc, and R. Salamon. "Health Informatics: Handle with Caution." Methods of Information in Medicine 36, no. 02 (March 1997): 79–81. http://dx.doi.org/10.1055/s-0038-1634701.
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Abstract:The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.
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Goceri, Evgin. "Future Healthcare: Will Digital Data Lead to Better Care?" New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 8 (December 9, 2017): 07–11. http://dx.doi.org/10.18844/gjapas.v0i8.2781.
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Currently, datasets used in bioinformatics and computational biology are high-dimensional, complex and multivariate. Analysis and processing of data is vital in medicine; however, manual analysis and pattern recognition with big data is difficult, and processing of large and weakly connected datasets is challenging. The increasing complexity of healthcare systems causes high health cost. To provide better healthcare services at reduced prices, computer-aided tools using smart approaches and context-aware computations are of great importance. Advancements in wireless network technology, mobile devices and pattern recognition applications help solve the cost problem of healthcare systems. In the future, patients will be able to participate in healthcare as their own health manager and observe important parameters like body fat amount and blood pressure. However, open issues related to this topic exist. In this paper, we present a survey of smart healthcare environments and smart hospitals and discuss some questions and challenges in this area. Keywords: Future healthcare, healthcare system, smart hospitals, smart environments.
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Wang, Xiaomei, Tracy C. Kim, Sudeep Hegde, Daniel J. Hoffman, Natalie C. Benda, Ella S. Franklin, David Lavergne, et al. "Design and Evaluation of an Integrated, Patient-Focused Electronic Health Record Display for Emergency Medicine." Applied Clinical Informatics 10, no. 04 (August 2019): 693–706. http://dx.doi.org/10.1055/s-0039-1695800.
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Abstract Background Hospital emergency departments (EDs) are dynamic environments, involving coordination and shared decision making by staff who care for multiple patients simultaneously. While computerized information systems have been widely adopted in such clinical environments, serious issues have been raised related to their usability and effectiveness. In particular, there is a need to support clinicians to communicate and maintain awareness of a patient's health status, and progress through the ED plan of care. Objective This study used work-centered usability methods to evaluate an integrated patient-focused status display designed to support ED clinicians' communication and situation awareness regarding a patient's health status and progress through their ED plan of care. The display design was informed by previous studies we conducted examining the information and cognitive support requirements of ED providers and nurses. Methods ED nurse and provider participants were presented various scenarios requiring patient-prioritization and care-planning tasks to be performed using the prototype display. Participants rated the display in terms of its cognitive support, usability, and usefulness. Participants' performance on the various tasks, and their feedback on the display design and utility, was analyzed. Results Participants provided ratings for usability and usefulness for the display sections using a work-centered usability questionnaire—mean scores for nurses and providers were 7.56 and 6.6 (1 being lowest and 9 being highest), respectively. General usability scores, based on the System Usability Scale tool, were rated as acceptable or marginally acceptable. Similarly, participants also rated the display highly in terms of support for specific cognitive objectives. Conclusion A novel patient-focused status display for emergency medicine was evaluated via a simulation-based study in terms of work-centered usability and usefulness. Participants' subjective ratings of usability, usefulness, and support for cognitive objectives were encouraging. These findings, including participants' qualitative feedback, provided insights for improving the design of the display.