Relevant bibliographies by topics / Technology and healthcare

Academic literature on the topic 'Technology and healthcare'

Author: Grafiati
Published: 7 July 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Technology and healthcare":

1

Herndon, James H., Raymond Hwang, and K. H. Bozic. "Healthcare technology and technology assessment." European Spine Journal 16, no. 8 (April 11, 2007): 1293–302. http://dx.doi.org/10.1007/s00586-007-0369-z.

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Herndon, James H., Raymond Hwang, and K. J. Bozic. "Healthcare technology and technology assessment." European Spine Journal 16, no. 8 (July 18, 2007): 1303. http://dx.doi.org/10.1007/s00586-007-0441-8.

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3

Baretić, Maja, and Nikola Protrka. "Healthcare Information Technology." International Journal of E-Services and Mobile Applications 13, no. 4 (October 2021): 77–87. http://dx.doi.org/10.4018/ijesma.2021100105.

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The term “health information technology” (health IT) refers to the electronic systems that store, share, analyze, and protect electronic health records. It includes also electronic prescribing, knowledge sharing, patient support tools, and mobile health technology together with decision-making algorithms. The privacy, security, and ethics of health information are priority for both patients and healthcare providers. The health IT is a target for cyber-criminals; stolen health information, or blackmailing via different kind of cryptolockers, is good on the black market. While the healthcare industry relies more on technology, cyber-attacks are threatening health IT. This article argues health IT issues from two perspectives. The first one is a physician's point of view aiming to improve quality of care using fast and accurate health IT. The second is the standpoint of cyber-security specialists aiming to protect data form cyber-criminals, continually developing new strategies and best practices.
4

&NA;, &NA;. "Healthcare Technology Foundation." Journal of Clinical Engineering 35, no. 4 (October 2010): 187. http://dx.doi.org/10.1097/jce.0b013e3181fb9ad2.

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Bezanson, Steven. "Healthcare Technology Management." Journal of Clinical Engineering 37, no. 1 (2012): 18–21. http://dx.doi.org/10.1097/jce.0b013e31823fdb57.

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Baxendale, G. "Technology in Healthcare." ITNOW 56, no. 4 (November 27, 2014): 48–49. http://dx.doi.org/10.1093/itnow/bwu103.

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Sagrillo, Dawn P., and Sue Kunz. "Healthcare Information Technology." Plastic Surgical Nursing 28, no. 1 (January 2008): 50–52. http://dx.doi.org/10.1097/01.psn.0000313950.13024.67.

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&NA;. "Technology Changes Healthcare." Orthopaedic Nursing 30, no. 5 (2011): 292. http://dx.doi.org/10.1097/nor.0b013e3182352a14.

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Leino-Kilpi. "Ethics of healthcare technology." Nursing Management 16, no. 5 (August 26, 2009): 8. http://dx.doi.org/10.7748/nm.16.5.8.s11.

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Yi, Sungil, Dongju Moon, Yongju Yang, and Kangeun Kim. "Healthcare Robot Technology Development." IFAC Proceedings Volumes 41, no. 2 (2008): 5318–23. http://dx.doi.org/10.3182/20080706-5-kr-1001.00896.

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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Technology and healthcare":

1

Crawford, William Charles Richards. "Mapping healthcare information technology." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/58179.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 56-58).
In this thesis I have developed a map of Healthcare Information Technology applications used in the United States for care delivery, healthcare enterprise management, clinical support, research and patient engagement. No attempt has previously been made to develop such a taxonomy for use by healthcare policy makers and on-the-spot decision makers. Using my own fifteen years of experience in HIT, along with an extensive set of literature reviews, interviews and on-site research I assembled lists of applications and organized them into categories based on primary workflows. Seven categories of HIT systems emerged, which are Practice Tools, Advisory Tools, Financial Tools, Remote Healthcare Tools, Clinical Research Tools, Health 2.0 Tools and Enterprise Clinical Analytics, each of which have different operational characteristics and user communities. The results of this pilot study demonstrate that a map is possible. The draft map presented here will allow researchers and investors to focus on developing the next generation of HIT tools, including software platforms that orchestrate a variety of healthcare transactions, and will support policy makers as they consider the impact of Federal funding for HIT deployment and adoption. Further studies will refine the map, adding an additional level of detail below the seven categories established here, thus supporting tactical decision making at the hospital and medical practice level.
by William Charles Richards Crawford.
S.M.
2

Sains, Parvinderpal Singh. "Remote presence robot technology in healthcare." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502121.

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Santos, João Pedro Nunes dos. "Identity management in healthcare using blockchain technology." Master's thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/24008.

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Bitcoin served as the catalyst for creating a solution to secure digital transactions without requiring a trusted third party to be involved. To solve this problem, the mechanisms now associated with a Blockchain were conceptualized and implemented to serve as the backbone for the Bitcoin network. More specifically, it was used as a security tool making Bitcoin a more transparent and reliable form of cash, a digital cryptographic currency. Even tough Bitcoin ended up not fulfilling its intended purpose as a currency, the Blockchain technology has enabled further avenues for innovation and creativity. Blockchain has since been used as the backbone for various cryptocurrencies networks. Some implementations of this technology allow the execution of code, also known as ”smart contracts”. Smart contracts are executed in an autonomous manner, with no human intervention. These can be used to solve a new set of problems due to their transparent behavior, lack of human intervention and distributed nature. Blockchain technology allows the creation of systems that introduce a number of benefits over traditional data handling used in today’s Healthcare Information Systems. Costs and risks associated with these systems can be reduced and information can become transparent and trustworthy to all participants. The Hyperledger Fabric Network with true private transactions and advanced security mechanisms was used to serve as the basis for the system proposed in this dissertation. Moreover, a client application was also created that interacts with smart contracts to manipulate the ledger. The work discussed in this dissertation shows that a Blockchain system based on Hyperledger Fabric is suitable for managing patients identity, in Healthcare. Even tough the feature set of this Blockchain is very focused in privacy and security, some additional measures regarding confidentiality of data had to be implemented. Regardless, a system was built successfully that met the requirements. The implementation of this system would provide transparency, immutability and additional security for patients and medical staff alike; Sumário: Gestão de Identidade nos Serviços de Saúde Utilizando Tecnologia Blockchain A criptomoeda Bitcoin foi essencial para criar uma solução para transacções digitais seguras, sem requerer a participação de um terceiro interveniente fidedigno para ambas as partes. Para resolver este problema, os mecanismos que hoje são associados com a tecnologia Blockchain foram concebidos e implementados para servir como base para a rede da Bitcoin. Mais especificamente, esta foi utilizada como um mecanismo de segurança, de forma a tornar a Bitcoin uma forma de dinheiro mais transparente e estável, uma moeda criptográfica. Mesmo que a Bitcoin não tenha conseguido cumprir o seu propósito original, a tecnologia Blockchain despoletou novas inovações e permitiu maior criatividade. A Blockchain tem sido, desde então, a base tecnológica de várias criptomoedas. Algumas implementações desta tecnologia permitem a execução de código de uma forma autónoma exactamente como foi programado, sem intervenção humana. Habitualmente chamados smart contracts, estes podem ser usados para resolver um novo conjunto de problemas devido ao seu comportamento transparente, ausência de intervenção humana e devido à sua natureza distribuida. A Blockchain é uma tecnologia que permite a criação de sistemas que introduzem um conjunto de beneficios em relação aos sistemas tradicionais de armazenamento de dados utilizados nos serviços de saúde. Custos e riscos associados a estes sistemas podem ser reduzidos e a informação pode ser mais transparente e fidedigna para todos os participantes. A rede Hyperledger Fabric com transacções privadas e mecanismos avançados de segurança foi usada como base para a criação do sistema proposto nesta dissertação. Adicionalmente, uma aplicação foi criada que usa smart contracts para manipular o ledger da Blockchain. O trabalho apresentado nesta dissertação mostra que um sistema baseado em Blockchain, neste caso em Hyperledger Fabric, é adequado a gerir a identidade de utentes, em organizações prestadoras de cuidados de saúde. Apesar das funcionalidades apresentadas por esta plataforma serem focadas em privacidade e segurança, algumas medidas adicionais em torno da confidencialidade dos dados tiveram de ser implementadas. Independentemente disso, o sistema foi construido com sucesso e conseguiu cumprir os requerimentos que foram definidos. A implementação deste sistema em serviços de saúde traria tranparência, imutabilidade e segurança adicional para utentes e profissionais de saúde.
4

Watson, Amanda Annette. "Wearable Technology For Healthcare And Athletic Performance." W&M ScholarWorks, 2020. https://scholarworks.wm.edu/etd/1593091706.

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Wearable technology research has led to advancements in healthcare and athletic performance. Devices range from one size fits all fitness trackers to custom fitted devices with tailored algorithms. Because these devices are comfortable, discrete, and pervasive in everyday life, custom solutions can be created to fit an individual's specific needs. In this dissertation, we design wearable sensors, develop features and algorithms, and create intelligent feedback systems that promote the advancement of healthcare and athletic performance. First, we present Magneto: a body mounted electromagnet-based sensing system for joint motion analysis. Joint motion analysis facilitates research into injury prevention, rehabilitation, and activity monitoring. Sensors used in such analysis must be unobtrusive, accurate, and capable of monitoring fast-paced dynamic motions. Our system is wireless, has a high sampling rate, and is unaffected by outside magnetic noise. Magnetic noise commonly influences magnetic field readings via magnetic interference from the Earth's magnetic field, the environment, and nearby ferrous objects. Magneto uses the combination of an electromagnet and magnetometer to remove environmental interference from a magnetic field reading. We evaluated this sensing method to show its performance when removing the interference in three movement dimensions, in six environments, and with six different sampling rates. Then, we localized the electromagnet with respect to the magnetic field reader, allowing us to apply Magneto in two pilot studies: measuring elbow angles and calculating shoulder positions. We calculated elbow angles to the nearest 15â—¦ with 93.8% accuracy, shoulder position in two-degrees of freedom with 96.9% accuracy, and shoulder positions in three-degrees of freedom with 75.8% accuracy. Second, we present TracKnee: a sensing knee sleeve designed and fabricated to unobtrusively measure knee angles using conductive fabric sensors. We propose three models that can be used in succession to calculate knee angles from voltage. These models take an input of voltage, calculate the resistance of our conductive fabric sensor, then calculate the change in length across the front of the knee and finally to the angle of the knee. We evaluated our models and our device by conducting a user study with six participants where we collected 240 ground truth angles and sensor data from our TracKnee device. Our results show that our model is 94.86% accurate to the nearest 15th degree angle and that our average error per angle is error per angle is 3.69 degrees. Third, we present ServesUp: a sensing shirt designed to monitor shoulder and elbow motion during the volleyball serve. In this project, we will designed and fabricated a sensing shirt that is comfortable, unobtrusive, and washable that an athlete can wear during and without impeding volleyball play. To make the shirt comfortable, we used soft and flexible conductive fabric sensors to monitor the motion of the shoulder and the elbow. We conducted a user study with ten volleyball players for a total of 1000 volleyball serves. We classified serving motion using a KNN with a classification accuracy of 89.2%. We will use this data provide actionable insights back to the player to help improve their serving skill. Fourth, we present BreathEZ, the first smartwatch application that provides both choking first aid instruction and real-time tactile and visual feedback on the quality of the abdominal thrust compressions. We evaluated our application through two user studies involving 20 subjects and 200 abdominal thrust events. The results of our study show that BreathEZ achieves a classification accuracy of 90.9% for abdominal thrusts. All participants that used BreathEZ in our study were able to improve their performance of abdominal thrusts. Of these participants, 60% were able to perform within the recommended range with the use of BreathEZ. Comparatively no participants trained with a video only reached that range. Finally, we present BBAid: the first smartwatch based system that provides real-time feedback on the back blow portion of choking first aid while instructing the user on first aid procedure. We evaluated our application through two user studies involving 26 subjects and 260 back blow events. The results of our study show that BBAid achieves a classification accuracy of 93.75% for back blows. With the use of BBAid, participants in our study were able to perform back blows within the recommended range 75% of the time. Comparatively the participants trained with a video only reached that range 12% of the time. All participants in the study, after receiving training were much more willing to perform choking first aid.
5

Szilagyi, Kristoffer, and Carl Glennfalk. "Blockchain technology within the Swedish healthcare sector." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20838.

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Sverige är ett av de mest framträdande digitaliserade länderna inom EU. Men vissa sektorer har hamnat efter i digitaliseringsprocessen, en av dem är sjukvården. Sjukvården är en av de mest informationsintensiva sektorerna i det svenska samhället, det är kritiskt att IT-systemen är sammanhållna och kommunicerande med varandra, s.k. interoperabla. Just där brister sjukvårdens IT-system idag, men sjukvården som organisation brister också i att ha någon form av enhetlig standard för hur vårdinformation ska dokumenteras. Dessa brister leder till försämrad vårdkvalitet och arbetsmiljö för vårdpersonalen. Syftet med denna studie är att utveckla en artefakt för hur blockkedjeteknikens egenskaper kan användas för att förbättra interoperabiliteten i de svenska hälso- och sjukvårdssystemen. Vi har genomfört studien med en designbaserad metod, där vi tar fram en modell baserat på blockkedjans egenskaper och presenterade problem utifrån sex intervjuer av personer som arbetar med IT i vården. Vårt resultat visar att blockkedjan har egenskaper som kan stödja interoperabilitet i sjukvården. Resultatet visar också det krävs en balans mellan säkerhet och flexibilitet samt någon form av standard för hur vårdinformation ska dokumenteras, antingen på nationell eller regional nivå, för att skapa interoperabilitet.
Sweden is one of the most prominent digitized countries within the European Union. But some sectors have fallen behind in the digitizing process; one of them is the healthcare sector. The healthcare sector is one of the most information intensive fields in the Swedish society, where it is critical that the IT-systems are integrated and communicative with each other, so-called interoperable. Today's IT systems in healthcare are failing in terms of interoperability, but the healthcare itself as an organisation also fails to have some sort of uniform standard for documenting health data. These deficiencies lead to an impaired quality of care for the patients but also a worsened environment for the healthcare professionals. The purpose of this study is to develop an artefact for how the capabilities of the blockchain technology can be used to improve interoperability within the Swedish healthcare systems. We’ve conducted this paper by using a design-science based method, where we have developed a model based on the capabilities of blockchain technology and issues presented based on interviews with six people working with IT within healthcare. Our findings show that the blockchain technology has capabilities that can support interoperability within the healthcare systems. Our findings also show that to achieve interoperability there is a need to balance security and flexibility as well as some form of unified standard for how healthcare data is to be documented, on either a national or regional level.
6

LASORSA, IRENE. "Technology and Service Assessment Tools in Healthcare." Doctoral thesis, Università degli Studi di Trieste, 2017. http://hdl.handle.net/11368/2908174.

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The role of clinical engineers is rapidly changing and the economic constraints have pulled them towards new responsibilities to manage. Particularly, the assessment of health technologies has covered one of the most important areas among clinical engineers’ duties. Different techniques and methodologies for technology assessment and improvement are available in the literature and they are currently in use within hospitals and healthcare facilities. However, scientific research and practical needs seem to be misaligned, causing misuse of scientific results due to the lack of tools easy-to-use from practical perspective. This thesis aims at integrating methodologies, even derived from different sectors, for providing standardized and versatile tools that overcome the current issues, providing healthcare facility with a path to follow for choosing the best methodology to be used in diverse situations. Different case studies are presented, in order to cover the wide range of possibilities within health technology assessment (HTA). Particularly, technology assessment was performed on medical devices using both Hospital-Based HTA for an existing technology and horizon scanning for designing an innovative solution. Then the assessment was extended to hospital services, with particular attention to clinical engineering services, using Multi-Criteria Decision Analysis. Process improvement methodologies were also considered and applied to sterilization service that was also studied and assessed integrating the classical HTA approach with Multi-Criteria Decision Analysis. These studies allowed to identify a path useful from practical perspective and based on scientific approach aimed at helping healthcare professionals and clinical engineers to choose the best methodology in accordance to specific constraints and needs of particular situations.
7

Andersson, Ann-Christine. "Practice-based Improvements in Healthcare." Licentiate thesis, Linköpings universitet, Kvalitetsteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-63717.

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A central problem for the healthcare sector today is how to manage change and improvements. In recent decades the county councils in Sweden have started various improvement initiatives and programs in order to improve their healthcare services. The improvement program of the Kalmar county council, which constitutes the empirical context for this thesis, is one of those initiatives. The purpose of this thesis is to contribute to a broader understanding of large-scale improvement program in a healthcare setting. This is done by analyzing practitioner’s improvement ideas, describing participants in the improvement projects, revising and testing a survey to measure the development of improvement ideas and describing the improvement program from a theoretical perspective. The theoretical change model used looks at change from two opposing directions in six dimensions; Goals, Leadership, Focus, Process, Reward system and Use of consultants. The aims of the county council improvement program are to become a learning organization, disseminate improvement methodologies and implement continuous quality improvements in the organization. All healthcare administrations and departments in the county council were invited to apply for funds to accomplish improvement projects. Another initiative invited staff teams to work with improvement ideas in a program with support from facilitators, using the breakthrough methodology. Now almost all ongoing developments, improvements, patient safety projects, manager and leader development initiatives are put together under the county council improvement program umbrella. In the appended papers both qualitative and quantitative research approach were used. The first study (paper I) analyzed which types of improvement projects practitioners are engaged in using qualitative content analysis. Five main categories were identified: Organizational Process; Evidence and Quality; Competence Development; Process Technology; and Proactive Patient Work. Most common was a focus on organizational changes and process, while least frequent was proactive patient work. Besides these areas of focus, almost all aimed to increase patient safety and increase effectiveness and availability. Paper II described the participants in two of the initiatives, the categorized improvement projects in paper I and the team members in the methodology guided improvement programs. Strong professions like physicians and nurses were well represented, but other staff groups were not as active. Managers were responsible for a majority of the projects. The gender perspective reflected the overall mix of employees in the county council. Paper III described a revision and test of a Minnesota Innovation Survey (MIS) that will be used to follow and measure how quality improvement ideas develop and improve over time. Descriptive statistics were presented. The respondents were satisfied with their work and what they had accomplished. The most common comment was about time, not having enough time to work with the improvement idea and the difficulty of finding time because of regular tasks. This was the first test of the revised survey and the high use of the answer alternative “Do not know” showed that the survey did not fit the context very well in its present version. Trying to connect the county council improvement program and the initiatives studied in papers I and II with the change model gave rise to some considerations. The county council improvement program has an effort to combine organizational changes and a culture that encourages continuous improvements. Top-down and bottom-up management approaches are used, through setting out strategies from above and at the same time encouraging practitioners to improve their day-to-day work. Whether this will be a successful way to implement and achieve a continuous improvement culture in the whole organization is one of the main issues remaining to find out in further studies.
8

Allsop, Matthew John. "Involving children in the design of healthcare technology." Thesis, University of Leeds, 2010. http://etheses.whiterose.ac.uk/1000/.

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Although children are potential end users of healthcare technology, very little research has investigated their role in its design. Subsequently, very little guidance and few research methods are available for designers of healthcare technology to use in practice. Given that research involving funding from public sector sources in the United Kingdom calls for the compulsory addition of user involvement, there is a need to explore the most suitable methods to ensure the involvement of child populations in the design of healthcare technology. The first stage of the research explored the use of four interview methods for involving children in healthcare technology design. Personal and environmental factors influencing child involvement were examined, alongside the cost and value of child participation. A framework for examining the use of methods for designing with children was also developed and applied. The experience gathered from involving children in the first stage was used to inform the development of an internet application and practice guidelines in the second stage of the research. The internet application was provided as a means of overcoming a range of barriers to child involvement, including disability. The internet application also provided the opportunity to explore the involvement of children in the evaluation of healthcare technology. The experience gathered throughout all of the research was synthesised to produce guidelines for future research in the area. Although interview methods were used to involve children in the design of healthcare technology, future research should focus on examining a wider range of methods. It is recommended that strategies for validating information gathered from children should also be developed. Such future endeavours could be assisted by the insight provided in the guidelines and experiences formed throughout this research.
9

Ben, Basat Yaël, and Maja Ronca. "Effects of blockchain technology on Sweden's digital healthcare." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254201.

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Blockchain technology has recently gained increased attention. Experts praise it as the “new Internet” for goods. The potential of blockchain technology today is undeniable. Yet, initiatives in other areas, outside the financial sector, are slow to evolve. Academic research shows a lack of studies on how blockchain, as a new disruptive innovation could affect the healthcare system. This paper sets out with the ambition to explore how blockchain technology can affect Sweden’s digital healthcare. More specifically, the study is based on a theoretical analysis. By firstly presenting a literature review on the topic, the theoretical framework based on trust theories, digitalization of the healthcare industry, globalization, data ownership and blockchain technology is developed through an analysis of established theoretical developments. The study proceeds from a constructivist perspective, acknowledging that the healthcare industry, with trends such as globalization and data ownership, could potentially be affected from a disruptive new technology such as blockchain. The findings suggest that blockchain technology could find a promising implementation in the healthcare industry, by creating trust for patient data ownership. However, the technology is still shows limitations and vulnerabilities, and thus cannot be applied immediately.
10

Kinley, Chad A. "Healthcare Technology: A Strategic Approach to Medical Device Management." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etd/1434.

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The constant evolution of medical technology has increased the demand for managing medical devices to ensure safety and effectiveness. In this paper I will investigate how biomedical engineering has addressed the issue of equipment management and identifies strategies to successfully maintain an inventory of medical devices. Through research, on-the-job experience, and in-depth discussions with various biomedical engineering managers, I have been able to document possible equipment strategies and best practices for managing medical devices. There is really no "one size fits all" to medical equipment management due to the various clinical environments, but there are many aspects that remain necessary to ensure proper equipment safety and function while meeting or exceeding various regulatory requirements.
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Books on the topic "Technology and healthcare":

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Kulhanek, Brenda, and Kathleen Mandato, eds. Healthcare Technology Training. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10322-3.

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Taylor, Alan. Healthcare Technology in Context. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4075-9.

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Geisler, Eliezer, and Ori Heller, eds. Managing Technology in Healthcare. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1415-8.

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Daim, Tugrul U., Nima Behkami, Nuri Basoglu, Orhun M. Kök, and Liliya Hogaboam. Healthcare Technology Innovation Adoption. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-17975-9.

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Anna, Rossetti, Chapman Sarah, and Open College, eds. Information, technology and healthcare. Didsbury: The Open College, 1996.

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1942-, Geisler Eliezer, and Heller Ori, eds. Managing technology in healthcare. Boston: Kluwer Academic Publishers, 1996.

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Jain, Shruti, and Sudip Paul. Assistive Technology Intervention in Healthcare. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003207856.

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Bhushan, Bharat, Nitin Rakesh, Yousef Farhaoui, Parma Nand Astya, and Bhuvan Unhelkar. Blockchain Technology in Healthcare Applications. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003224075.

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Zieliński, Krzysztof, Mariusz Duplaga, and David Ingram, eds. Information Technology Solutions for Healthcare. London: Springer London, 2006. http://dx.doi.org/10.1007/1-84628-141-5.

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Ciampa, Mark D. Introduction to healthcare information technology. Boston, MA: Course Technology, 2013.

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Book chapters on the topic "Technology and healthcare":

1

Atherton, Helen, and Dan Lasserson. "Technology." In Rural Healthcare, 184–99. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003302438-19.

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Compston, Hugh. "Healthcare Technology." In King Trends and the Future of Public Policy, 60–75. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230627437_4.

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van der Wilt, Gert Jan. "Healthcare Technology Assessment." In Encyclopedia of Global Bioethics, 1–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-05544-2_416-1.

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Wouters, Eveline J. M. "Healthcare and technology." In Digital Transformations in Care for Older People, 15–32. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003155317-3.

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van der Wilt, Gert Jan. "Healthcare Technology Assessment." In Encyclopedia of Global Bioethics, 1487–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-09483-0_416.

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Olson, David. "Technology Infrastructures." In Behavorial Healthcare Informatics, 9–27. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21586-0_2.

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Chanchaichujit, Janya, Albert Tan, Fanwen Meng, and Sarayoot Eaimkhong. "Blockchain Technology in Healthcare." In Healthcare 4.0, 37–62. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8114-0_3.

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Luevano, Eduardo R., and William Morton. "The Healthcare Simulation Technology Specialist and Information Technology." In Comprehensive Healthcare Simulation, 231–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15378-6_14.

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Joshi, Nikita, and Teresa Roman-Micek. "Technology and Innovation." In Comprehensive Healthcare Simulation, 315–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15378-6_19.

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Snedaker, Susan T. "IT Technology Assessment." In Renovating Healthcare IT, 231–40. New York: Productivity Press, 2023. http://dx.doi.org/10.4324/9781003377023-23.

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Conference papers on the topic "Technology and healthcare":

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Rakic, Dean. "Blockchain Technology in Healthcare." In 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006531600130020.

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Howard, Elizabeth V., Jill E. Courte, Donna M. Evans, and Marilyn Anderson. "Merging healthcare and technology." In the 43rd ACM technical symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2157136.2157363.

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"Networked healthcare technology (NetHealth)." In 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2012. http://dx.doi.org/10.1109/comsnets.2012.6151294.

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Abbas, Raja Manzar, Noel Carroll, Ita Richardson, and Sarah Beecham. "Trust Factors in Healthcare Technology: A Healthcare Professional Perspective." In 11th International Conference on Health Informatics. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006594204540462.

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Vyas, Jhanvi Devangbhai, Meng Han, Lin Li, Seyedamin Pouriyeh, and Jing Selena He. "Integrating Blockchain Technology into Healthcare." In ACM SE '20: 2020 ACM Southeast Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3374135.3385280.

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Gupta, Ketan, Nasmin Jiwani, Md Haris Uddin Sharif, Nirmal Adhikari, and Neda Afreen. "Blockchain Technology In Healthcare Industry." In 2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS). IEEE, 2022. http://dx.doi.org/10.1109/icetems56252.2022.10093377.

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"Networked healthcare technology (nethealth) workshop." In 2015 7th International Conference on Communication Systems and Networks (COMSNETS). IEEE, 2015. http://dx.doi.org/10.1109/comsnets.2015.7098648.

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Joseph, V. C., Ahn Sung-Ho, Kim Jiyong, Lee Kyung-Hee, and Kim Doo-Hyun. "Intelligent healthcare systems: re-defining personal healthcare solutions." In The 7th International Conference on Advanced Communication Technology. IEEE, 2005. http://dx.doi.org/10.1109/icact.2005.245893.

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Russell, Joseph, and Jeroen Bergmann. "Probabilistic sensor design for healthcare technology." In 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2019. http://dx.doi.org/10.1109/uemcon47517.2019.8993086.

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"Secure Healthcare System using Blockchain Technology." In 2020 the 10th International Workshop on Computer Science and Engineering. WCSE, 2020. http://dx.doi.org/10.18178/wcse.2020.02.027.

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Reports on the topic "Technology and healthcare":

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Steer, Kirrian, Billie Paschal, and Todd Hillman, eds. Capability Framework for Healthcare Simulation Technology Specialists. The Gathering of Healthcare Simulation Technology Specialists Inc, December 2019. http://dx.doi.org/10.37607/12019cap1.

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Lide, Bettijoyce, and Richard N. Spivack. Advanced technology program information infrastructure for healthcare focused program:. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6477.

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Turner, Wesley. Learning the Language of Healthcare Enabling Semantic Web Technology in CHCS. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada601078.

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Marks, Megan. Integrated Medical Information Technology System (IMITS): Information and Clinical Technologies for the Advancement of Healthcare. Fort Belvoir, VA: Defense Technical Information Center, August 2010. http://dx.doi.org/10.21236/ada633139.

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Boyd, Brian K., Graham B. Parker, Joseph M. Petersen, Greg Sullivan, W. Goetzler, K. J. Foley, and T. A. Sutherland. Demonstration of Advanced Technologies for Multi-Load Washers in Hospitality and Healthcare -- Wastewater Recycling Technology. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1151876.

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Popovic, Marija. Increase in development of blockchain technology and applications through the online transaction and healthcare system. Ames (Iowa): Iowa State University, August 2022. http://dx.doi.org/10.31274/cc-20240624-890.

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Wu, Tzu-Chi, and Bruce Chien-Ta Ho. Innovations during the COVID-19 pandemic. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2021. http://dx.doi.org/10.37766/inplasy2021.11.0102.

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Abstract:
Review question / Objective: (1)The features of innovation in the healthcare system during the COVID-19 era; (2)Explore the innovative solutions in different thematic categories in the healthcare system. Condition being studied: Existing studies of innovation in the healthcare system have typically focused on technology, it does not cover all kinds of innovation. Eligibility criteria: (1) articles that describe innovative ideas, solutions or experience in the healthcare system during the COVID-19 crisis(2) articles that researched innovation issues in the COVID-19crisis.
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Romli, Muhammad Hibatullah, Farahiyah Wan Yunus, Manraj Singh Cheema, Hafizah Abdul Hamid, Muhammad Zulfadli Mehat, Nur Fariesha Md Hashim, Mohamad Hasif Jaafar, Chan Choong Foong, and Wei-Han Hong. A protocol of meta-synthesis on the perceptions and experience of healthcare students in Southeast Asia regarding technology-based learning. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2021. http://dx.doi.org/10.37766/inplasy2021.2.0053.

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Ghimire, Sarala, Martin Gerdes, Santiago Martinez, and Gunnar Hartvigsen. Virtual Prenatal Care: A Systematic Review of Pregnant Women' and Healthcare Professionals’ Experiences, Needs, and Preferences for Quality Care. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0070.

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Review question / Objective: The purpose of this systematic review was to gain deeper insights on (1) how existing virtual prenatal care interventions in pregnancy care have addressed pregnant women's and/or HCP's needs associated with communication, technology, and care provision, and (2) how those interventions are used for pregnancy care, including their effectiveness and barriers. Research questions: RQ1. What are the pregnant women's and HCP's needs for virtual prenatal care? RQ2. How is the quality care provided to pregnant women via virtual prenatal care modalities? RQ3. What are the experiences regarding the effectiveness and barriers? Main outcome(s): The findings from all the included articles were categorized based on the factors associated with the research questions. Thus, needs and preferences, virtual prenatal care modalities, and outcomes/experiences were considered as the main outcome for the synthesis.
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Rudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.

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Artificial Intelligence (AI) is one of the oldest fields of computer science used in building structures that look like human beings in terms of thinking, learning, solving problems, and decision making (Jovanovic et al., 2021). AI technologies and techniques have been in application in various aspects to aid in solving problems and performing tasks more reliably, efficiently, and effectively than what would happen without their use. These technologies have also been reshaping the health sector's field, particularly digital tools and medical robotics (Dantas & Nogaroli, 2021). The new reality has been feasible since there has been exponential growth in the patient health data collected globally. The different technological approaches are revolutionizing medical sciences into dataintensive sciences (Dantas & Nogaroli, 2021). Notably, with digitizing medical records supported the increasing cloud storage, the health sector created a vast and potentially immeasurable volume of biomedical data necessary for implementing robotics and AI. Despite the notable use of AI in healthcare sectors such as dermatology and radiology, its use in psychological healthcare has neem models. Considering the increased mortality and morbidity levels among patients with psychiatric illnesses and the debilitating shortage of psychological healthcare workers, there is a vital requirement for AI and robotics to help in identifying high-risk persons and providing measures that avert and treat mental disorders (Lee et al., 2021). This discussion is focused on understanding how AI and robotics could be employed in improving mental health in the human community. The continued success of this technology in other healthcare fields demonstrates that it could also be used in redefining mental sicknesses objectively, identifying them at a prodromal phase, personalizing the treatments, and empowering patients in their care programs.

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