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Articoli di riviste sul tema "Computer systems in health care"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 20 febbraio 2023

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1

Raghupathi, W. "Health care information systems." Communications of the ACM 40, no. 8 (August 1997): 80–82. http://dx.doi.org/10.1145/257874.257894.

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Moidu, Khalid, and Ove Wigertz. "Computer based information systems in primary health care?Why?" Journal of Medical Systems 13, no. 2 (April 1989): 59–65. http://dx.doi.org/10.1007/bf00999243.

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Anderson, James G., and Carolyn E. Aydin. "Evaluating the Impact of Health Care Information Systems." International Journal of Technology Assessment in Health Care 13, no. 2 (1997): 380–93. http://dx.doi.org/10.1017/s0266462300010436.

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AbstractEvaluating the impact of computer-based medical information systems requires not only an understanding of computer technology but also an understanding of complex social and behavioral processes. This essay discusses the need for evaluation of health care information systems, a set of evaluation questions based on assumptions about the impact of technology on organizations, and recommendations for reducing barriers to the implementation of health care information systems.

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Lincoln, Thomas L. "Medical informatics: The substantive discipline behind health care computer systems." International Journal of Bio-Medical Computing 26, no. 1-2 (July 1990): 73–92. http://dx.doi.org/10.1016/0020-7101(90)90021-l.

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Alkhateeb, Arwa, Takashi Takahashi, Salah Mandil, and Yasuyoshi Sekita. "The changing role of health care IC card systems." Computer Methods and Programs in Biomedicine 60, no. 2 (September 1999): 83–92. http://dx.doi.org/10.1016/s0169-2607(99)00023-1.

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Safran, C., H. Takeda, and A. Hasman. "Quality of health care: informatics foundations." Yearbook of Medical Informatics 12, no. 01 (August 2003): 143–52. http://dx.doi.org/10.1055/s-0038-1638160.

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Abstract:In this article we will discuss in what ways computer systems can contribute to the quality of healthcare and on which principles of informatics successful systems are founded. Section 2 presents an overview of studies that investigate the usefulness of decision support, and Section 3 discusses factors that determine the success of decision support systems. The foundations of guideline systems are presented in Section 4. Section 5 offers a brief review of physician order entry, and Section 6 presents a discussion of medical risk management and the results of Japanese studies in this a

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O’Desky, R. I., M. J. Ball, and E. E. Ball. "Computers in Health Care for the 21st Century." Methods of Information in Medicine 29, no. 02 (1990): 158–61. http://dx.doi.org/10.1055/s-0038-1634772.

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AbstractAs the world enters the last decade of the 20th Century, there is a great deal of speculation about the effect of computers on the future delivery of health care. In this article, the authors attempt to identify some of the evolving computer technologies and anticipate what effect they will have by the year 2000. Rather than listing potential accomplishments, each of the affected areas: hardware, software, health care systems and communications, are presented in an evolutionary manner so the reader can better appreciate where we have been and where we are going.

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Tan, Joseph, H. Joseph Wen, and Neveen Awad. "Health care and services delivery systems as complex adaptive systems." Communications of the ACM 48, no. 5 (May 2005): 36–44. http://dx.doi.org/10.1145/1060710.1060737.

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Safran, C., H. Takeda, and A. Hasman. "Quality of Health Care: Informatics Foundations." Methods of Information in Medicine 42, no. 05 (2003): 509–18. http://dx.doi.org/10.1055/s-0038-1634377.

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Summary Objective: To discuss in what ways computer systems can contribute to the quality of healthcare and on which principles of informatics successful systems are based. Methods: Part of the information was obtained via a literature search and part is based on the knowledge of the authors. Results: The results of the literature search are reported. The answers to the questions whether decision support is useful and which factors determine its success, the foundations of computerized guidelines systems and applications of physician order entry and medical risk management are presented. Concl

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Wood, Colin J. B., Harold D. Foster, and Norman E. Hardy. "Crisis Simulation and Health Care Systems." Simulation & Gaming 28, no. 2 (June 1997): 198–216. http://dx.doi.org/10.1177/1046878197282004.

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MacDougall, Conan, and Ron E. Polk. "Antimicrobial Stewardship Programs in Health Care Systems." Clinical Microbiology Reviews 18, no. 4 (October 2005): 638–56. http://dx.doi.org/10.1128/cmr.18.4.638-656.2005.

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SUMMARY Antimicrobial stewardship programs in hospitals seek to optimize antimicrobial prescribing in order to improve individual patient care as well as reduce hospital costs and slow the spread of antimicrobial resistance. With antimicrobial resistance on the rise worldwide and few new agents in development, antimicrobial stewardship programs are more important than ever in ensuring the continued efficacy of available antimicrobials. The design of antimicrobial management programs should be based on the best current understanding of the relationship between antimicrobial use and resistance.

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Tan, J. K. H. "Design of Effective Health Decision Support Systems: Towards Automating the Health Administrator's Decision Processes." Health Services Management Research 9, no. 1 (February 1996): 10–23. http://dx.doi.org/10.1177/095148489600900102.

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There has been very little evidence to suggest the effective use of, and demand for, computer-based systems by health care administrators to support their increasingly complex decision-making activities. This is so, despite a considerable amount of research attention paid to examining the efficiency and power of mathematical models, and the application of increasingly sophisticated Management Science Techniques to problems encountered within the health care system over the last several years. In recent times, advancing computer technology: 1) promises to close the gap between theory and practi

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Rawashdeh, Majdi, Mohammed GH AL Zamil, M. Shamim Hossain, Samer Samarah, Syed Umar Amin, and Ghulam Muhammad. "Reliable service delivery in Tele-health care systems." Journal of Network and Computer Applications 115 (August 2018): 86–93. http://dx.doi.org/10.1016/j.jnca.2018.04.015.

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Giuse, D. A., and K. A. Kuhn. "From Hospital Information Systems to Health Information Systems." Methods of Information in Medicine 40, no. 04 (2001): 275–87. http://dx.doi.org/10.1055/s-0038-1634170.

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Summary Objectives: Hospital information systems are evolving towards health information systems. This article aims at identifying both proven benefits and critical issues, and at discussing problems and possible solutions. Methods: Reports on HIS successes and failures were analyzed, and core challenges were identified. These challenges are discussed against state of the art solutions. Results: In spite of demonstrated benefits, there are more severe problems than reports on successes suggest. Among today’s core problems are integration, human-computer interaction, socio-technical issues, and

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Wallace, Jean E., Steven P. Friesen, Deborah E. White, Janet G. Gilmour, and Jane B. Lemaire. "The Introduction of an Electronic Patient Care Information System and Health Care Providers’ Job Stress." International Journal of Healthcare Information Systems and Informatics 5, no. 4 (October 2010): 35–48. http://dx.doi.org/10.4018/jhisi.2010100103.

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In this paper, the authors explore how the introduction of an electronic Patient Care Information System (PCIS) relates to changes in health care providers’ (HCPs’) perceptions of computer use, quality of patient care and job stress. Data were collected using a mixed-methods case study approach over a 20 month period following the introduction of this system. Initially stress levels appeared to increase, but over time declined significantly. After 3 months, the majority of HCPs reported they spent more time entering, retrieving and searching for patient information than before; however, these

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MURPHY, JOHN, and JANE GRIMSON. "COOPERATIVE INFORMATION SYSTEMS: INTEROPERABILITY IN HEALTH CARE LEGACY APPLICATIONS." International Journal of Cooperative Information Systems 07, no. 01 (March 1998): 1–17. http://dx.doi.org/10.1142/s0218843098000027.

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We believe that the typical hospital computing environment is especially fruitful as a domain for investigating the problems of interoperability and cooperation. We state this belief as hospital computing environments consist of a heterogeneous collection of autonomous information systems. These systems range from centralised hospital-wide systems, such as patient administration systems, to departmental systems such as pharmacy stock-control, laboratory information systems, accident and emergency systems and so on. Many of these are legacy systems which have been operating for many years and a

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Jain, Uday. "Personal Digital Health Assistants." Journal of Clinical Surgery and Research 3, no. 1 (January 7, 2022): 01–03. http://dx.doi.org/10.31579/2768-2757/027.

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Personal Digital Health Assistants (PDHA) are applications that can run on virtually any computer or mobile device including a smart phone/ personal digital assistant (PDA). A PDHA acquires, stores, and analyzes health related information of an individual. It usually communicates with remote servers of a large organization which can connect it to various resources. PDHAs are an integral part of telehealth. Their utility has increased manyfold since the start of the pandemic. The systems are increasingly more complex and are involved in all aspects of care. The PDHA are usually utilized by pati

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Fajingbesi, Fawwaz E., Rashidah F. Olanrewaju, Bisma Rasool Pampori, Sheroz Khan, and Mashkuri Yacoob. "Real Time Telemedical Health Care Systems with Wearable Sensors." Asian Journal of Pharmaceutical Research and Health Care 9, no. 3 (July 10, 2017): 138. http://dx.doi.org/10.18311/ajprhc/2017/14971.

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The time between detection and response to chronic diseases could go a long way in saving lives. The current trend in health monitoring systems is to move from the hospital centered device to eventually portable personal devices. Hence, Telemedical health care involves the remote delivery of medical care service to either out-of-hospital or admitted patients through wireless network and computer information technology. This paper systematically reviews the most recent works in telemedical health care system to propose a more efficient model. The focus is more on wearable sensors and devices wi

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Biswas, Sujit, Kashif Sharif, Fan Li, and Saraju Mohanty. "Blockchain for E-Health-Care Systems: Easier Said Than Done." Computer 53, no. 7 (July 2020): 57–67. http://dx.doi.org/10.1109/mc.2020.2989781.

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van Bemmel, J. H. "People and Ideas in Medical Informatics - A Half Century Review." Yearbook of Medical Informatics 20, no. 01 (August 2011): 175–82. http://dx.doi.org/10.1055/s-0038-1638758.

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SummaryReviewing the onset and the rapid changes to make realistic predictions on the future of medical informatics.Pointing to the contributions of the early pioneers, who had their roots in other disciplines and by illustrating that from the onset an interdisciplinary approach was characteristic for our field.Some of the reasons for the changes in medical informatics are that nobody was able to predict the advent of the personal computer in the 1970s, the world-wide web in 1991, and the public start of the Internet in 1992, but foremost that nobody expected that it was not primarily the hard

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Wright, A., M. Burton, G. Fraser, M. Krall, S. Maviglia, N. Mohammed-Rajput, L. Simonaitis, F. Sonnenberg, B. Middleton, and M. Kantor. "Comparison of Computer-based Clinical Decision Support Systems and Content for Diabetes Mellitus." Applied Clinical Informatics 02, no. 03 (2011): 284–303. http://dx.doi.org/10.4338/aci-2011-02-ra-0012.

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SummaryBackground: Computer-based clinical decision support (CDS) systems have been shown to improve quality of care and workflow efficiency, and health care reform legislation relies on electronic health records and CDS systems to improve the cost and quality of health care in the United States; however, the heterogeneity of CDS content and infrastructure of CDS systems across sites is not well known.Objective: We aimed to determine the scope of CDS content in diabetes care at six sites, assess the capabilities of CDS in use at these sites, characterize the scope of CDS infrastructure at thes

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Hovenga, Evelyn Johanna Sophia. "Importance of achieving semantic interoperability for national health information systems." Texto & Contexto - Enfermagem 17, no. 1 (March 2008): 158–67. http://dx.doi.org/10.1590/s0104-07072008000100018.

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This reflective paper examines relationships between the Government policy-makers in health; health care providers in general; and the adoption of health care information, knowledge, and communication technologies. These technologies include the adoption of a national health language and computer science standards in health. These reflections are based on the author's observations and international involvement in the development of standards and in the development of national Government Health Information Comunication Technology implementation strategies over many years. A number of critical c

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Balcombe, Luke, and Diego De Leo. "Human-Computer Interaction in Digital Mental Health." Informatics 9, no. 1 (February 22, 2022): 14. http://dx.doi.org/10.3390/informatics9010014.

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Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps; mostly it is used for self-help and guided cognitive behavioral therapy (CB

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Smith, Duane L., Holger Hansen, and Mehtab S. Karim. "Management information support for district health systems based on Primary Health Care." Information Technology for Development 4, no. 4 (December 1989): 779–811. http://dx.doi.org/10.1080/02681102.1989.9627178.

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Augusto, Vincent, and Xiaolan Xie. "A Modeling and Simulation Framework for Health Care Systems." IEEE Transactions on Systems, Man, and Cybernetics: Systems 44, no. 1 (January 2014): 30–46. http://dx.doi.org/10.1109/tsmc.2013.2239640.

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Camps, Theo, and Patrick Kenis. "Health care, chains and networks." Journal on Chain and Network Science 10, no. 2 (January 1, 2010): 87–88. http://dx.doi.org/10.3920/jcns2010.x111.

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DHILLON, B. S., and MUTHURAMAN RAJENDRAN. "HUMAN ERROR IN HEALTH CARE SYSTEMS: BIBLIOGRAPHY." International Journal of Reliability, Quality and Safety Engineering 10, no. 01 (March 2003): 99–117. http://dx.doi.org/10.1142/s0218539303001019.

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De Georgia, Michael A., Farhad Kaffashi, Frank J. Jacono, and Kenneth A. Loparo. "Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research." Scientific World Journal 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/727694.

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There is a broad consensus that 21st century health care will require intensive use of information technology to acquire and analyze data and then manage and disseminate information extracted from the data. No area is more data intensive than the intensive care unit. While there have been major improvements in intensive care monitoring, the medical industry, for the most part, has not incorporated many of the advances in computer science, biomedical engineering, signal processing, and mathematics that many other industries have embraced. Acquiring, synchronizing, integrating, and analyzing pat

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Luque, Joy L., Michael J. Pereira, and James D. Brown. "USING COMPUTER SYSTEMS TO ENHANCE CASE MANAGEMENT." Quality Management in Health Care 5, no. 1 (1996): 17–24. http://dx.doi.org/10.1097/00019514-199605010-00003.

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Luque, Joy L., Michael J. Pereira, and James D. Brown. "USING COMPUTER SYSTEMS TO ENHANCE CASE MANAGEMENT." Quality Management in Health Care 5, no. 1 (1996): 17–24. http://dx.doi.org/10.1097/00019514-199623000-00003.

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Shumway, J. M., A. I. Jacknowitz, and M. A. Abate. "Analysis of Physicians’, Pharmacists’, and Nurses’ Attitudes Toward the Use of Computers to Access Drug Information." Methods of Information in Medicine 29, no. 02 (1990): 99–103. http://dx.doi.org/10.1055/s-0038-1634770.

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AbstractThe appropriate utilization of computerized drug information systems is widely recognized as an area of concern by health care professionals. For this reason, attitudes of health care professionals in office-based practices toward computer-based drug information were examined. Sixty individuals in five different practice settings completed an attitude instrument. Of the 36 items categorized into five attitudinal categories, the answers to six items (in three distinct categories) were found to be statistically different among physicians, nurses, and pharmacists. These differences indica

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Kahen, G., and B. McA Sayers. "Health-Care Technology Transfer: Expert and Information Systems for Developing Countries." Methods of Information in Medicine 36, no. 02 (March 1997): 69–78. http://dx.doi.org/10.1055/s-0038-1634703.

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Abstract:Computer-based technologies such as information systems and expert systems have an undoubted contribution to health-care development in developing countries. This paper addresses the appropriateness of these technologies for developing countries, the criteria to be used in selection of the technology to be transferred, and the need for a systematic approach to evaluation. A conceptual model for assessing transferability so as to achieve an effective transfer, has been introduced. This requires not only an attempt to amplify the role of information and expert systems in health-care imp

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Lanzola, G., M. Stefanelli, and S. Falasconi. "An Ontology-based Multi-agent Architecture for Distributed Health-care Information Systems." Methods of Information in Medicine 36, no. 01 (January 1997): 20–29. http://dx.doi.org/10.1055/s-0038-1634684.

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Abstract:Managing patients in a shared-care context is a knowledge-intensive activity. To support cooperative work in medical care, computer technology should both augment the capabilities of individual specialists and enhance their ability of interacting with each other and with computational resources. Thus, a major shift is needed from centralized first generation health-care information systems to distributed environments composed of several interconnected agents, cooperating in maintaining a full track of the patient clinical history and supporting health-care providers in all the phases

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Nikkhah, Fahimeh, and Masoumeh Safkhani. "LAPCHS: A lightweight authentication protocol for cloud-based health-care systems." Computer Networks 187 (March 2021): 107833. http://dx.doi.org/10.1016/j.comnet.2021.107833.

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Suby, ChrysMarie. "Nursing Operations Automation and Health Care Technology Innovations: 2025 and Beyond." Creative Nursing 19, no. 1 (2013): 30–36. http://dx.doi.org/10.1891/1078-4535.19.1.30.

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This article reviews why nursing operations automation is important, reviews the impact of computer technology on nursing from a historical perspective, and considers the future of nursing operations automation and health care technology innovations in 2025 and beyond. The increasing automation in health care organizations will benefit patient care, staffing and scheduling systems and central staffing offices, census control, and measurement of patient acuity.

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Kanksha, Aman Bhaskar, Sagar Pande, Rahul Malik, and Aditya Khamparia. "An intelligent unsupervised technique for fraud detection in health care systems." Intelligent Decision Technologies 15, no. 1 (March 24, 2021): 127–39. http://dx.doi.org/10.3233/idt-200052.

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Healthcare is an essential part of people’s lives, particularly for the elderly population, and also should be economical. Medicare is one particular healthcare plan. Claims fraud is a significant contributor to increased healthcare expenses, though the effect of it could be lessened by fraud detection. In this paper, an analysis of various machine learning techniques was done to identify Medicare fraud. The isolated forest an unsupervised machine learning algorithm which improves overall performance while detecting fraud based upon outliers. The goal of this specific paper is generally to sho

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Wang, Shiwei. "Route Planning of Health Care Tourism Based on Computer Deep Learning." Wireless Communications and Mobile Computing 2022 (August 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/4500009.

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With the continuous improvement of people’s living standards, the form of tourism is gradually changing. In the past two years, people’s demand for tourism has also changed from traditional ornamental tourism to wellness tourism, which has provided a development opportunity for rural tourism. At the same time, the government has also begun to focus on the development of tourism with rural characteristics to promote the development of rural areas. However, health tourism still has certain defects, and the development of rural planning is still advancing and improving. Leisure agriculture is an

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Hillson, Steven D., and Donald P. Connelly. "Computer-assisted test interpretation: Considerations in patient care." Journal of Medical Systems 16, no. 5 (October 1992): 195–205. http://dx.doi.org/10.1007/bf01000272.

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Bordin, R., P. D. Fisher, M. M. Klück, and R. S. Rosa. "Using Computer and Internet-based Resources to Teach Health Care Planning and Administration in an Undergraduate Medical Program." Methods of Information in Medicine 45, no. 03 (2006): 316–20. http://dx.doi.org/10.1055/s-0038-1634068.

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Summary Objective: We describe the teaching methods, involving computer and Internet-based resources, used in the “Administration and Planning in Health Care” course of the undergraduate medical program at the Federal University of Rio Grande do Sul. Method: Description on how the curriculum guidelines for the undergraduate medical education in Brazil have been implemented at this university. The guidelines specify that graduates should be skilled and knowledgeable in health care administration and management, understand the market dynamics of health care services, and be prepared to contribut

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Bowes, Claire L., and Adrian J. Wilson. "Information management systems for intensive care." Computer Methods and Programs in Biomedicine 44, no. 1 (July 1994): 31–35. http://dx.doi.org/10.1016/0169-2607(94)90145-7.

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Namomsa Daraje, Gutama. "DIGITALIZING COMMUNITY-BASED HEALTH INSURANCE IN ETHIOPIA." International Journal of Advanced Research 11, no. 01 (January 31, 2023): 1391–95. http://dx.doi.org/10.21474/ijar01/16155.

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Background: It is the plan of the Ethiopian government in order to digitalize the health care system. Though the digitalizing of the health care system in the country is at its infant stage and some of the projects fail. Different challenges have contributed to this low implementation of ICT in most Ethiopian healthcare systems. Methodology: This study is a systematic type of review and the major source of articles used in this study were searched from databases such as PubMed, Scopus Google, Google Scholar, and other online databases. This study included eight studies that state the ICT imple

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Kimovski, Dragi, Sasko Ristov, and Radu Prodan. "Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum." Computer 55, no. 10 (October 2022): 55–65. http://dx.doi.org/10.1109/mc.2022.3142151.

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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 n

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McGreevey, John D., Colleen P. Mallozzi, Randa M. Perkins, Eric Shelov, and Richard Schreiber. "Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems." Applied Clinical Informatics 11, no. 01 (January 2020): 001–12. http://dx.doi.org/10.1055/s-0039-3402715.

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Abstract Background Electronic health record (EHR) alert fatigue, while widely recognized as a concern nationally, lacks a corresponding comprehensive mitigation plan. Objectives The goal of this manuscript is to provide practical guidance to clinical informaticists and other health care leaders who are considering creating a program to manage EHR alerts. Methods This manuscript synthesizes several approaches and recommendations for better alert management derived from four U.S. health care institutions that presented their experiences and recommendations at the American Medical Informatics As

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Raja, Bilal Saeed, and Sohail Asghar. "Disease Classification in Health Care Systems With Game Theory Approach." IEEE Access 8 (2020): 83298–311. http://dx.doi.org/10.1109/access.2020.2991016.

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Bergeron, Bryan P. "The Physician-Computer Connection: A Practical Guide to Physician Involvement in Health Care Information Systems." Annals of Internal Medicine 127, no. 2 (July 15, 1997): 175. http://dx.doi.org/10.7326/0003-4819-127-2-199707150-00053.

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Fujita, Hiroshi, Yoshikazu Uchiyama, Toshiaki Nakagawa, Daisuke Fukuoka, Yuji Hatanaka, Takeshi Hara, Gobert N. Lee, et al. "Computer-aided diagnosis: The emerging of three CAD systems induced by Japanese health care needs." Computer Methods and Programs in Biomedicine 92, no. 3 (December 2008): 238–48. http://dx.doi.org/10.1016/j.cmpb.2008.04.003.

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Campbell, Carlene J., and Dorothea E. Mcdowell. "Assessing Nurses' Computer Literacy in Order to Maximize Their Use of Health Care Information Systems." CIN: Computers, Informatics, Nursing 28, no. 5 (September 2010): 313. http://dx.doi.org/10.1097/01.ncn.0000336505.74500.27.

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Kontopantelis, Evangelos, Richard John Stevens, Peter J. Helms, Duncan Edwards, Tim Doran, and Darren M. Ashcroft. "Spatial distribution of clinical computer systems in primary care in England in 2016 and implications for primary care electronic medical record databases: a cross-sectional population study." BMJ Open 8, no. 2 (February 2018): e020738. http://dx.doi.org/10.1136/bmjopen-2017-020738.

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Abstract (sommario):

ObjectivesUK primary care databases (PCDs) are used by researchers worldwide to inform clinical practice. These databases have been primarily tied to single clinical computer systems, but little is known about the adoption of these systems by primary care practices or their geographical representativeness. We explore the spatial distribution of clinical computing systems and discuss the implications for the longevity and regional representativeness of these resources.DesignCross-sectional study.SettingEnglish primary care clinical computer systems.Participants7526 general practices in August 2

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Rai, Bipin Kumar. "Blockchain-Enabled Electronic Health Records for Healthcare 4.0." International Journal of E-Health and Medical Communications 13, no. 4 (August 11, 2022): 1–13. http://dx.doi.org/10.4018/ijehmc.309438.

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Abstract (sommario):

Healthcare delivery is on the verge of a fundamental shift into the new era of smart and connected health care, termed Health Care 4.0. Sharing healthcare data is an important step in improving the healthcare system's intelligence and service quality. Healthcare data, which is a personal asset of the patient, should be owned and managed by the patient rather than being dispersed among several healthcare systems, preventing data exchange and jeopardizing patient privacy. EHRs (electronic health records) assist individuals by allowing them to combine and manage their medical data. On the other h

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