Artigos de revistas: "Computer systems in health care"

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Raghupathi, W. "Health care information systems". Communications of the ACM 40, n.º 8 (agosto de 1997): 80–82. http://dx.doi.org/10.1145/257874.257894.

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Moidu, Khalid, e Ove Wigertz. "Computer based information systems in primary health care?Why?" Journal of Medical Systems 13, n.º 2 (abril de 1989): 59–65. http://dx.doi.org/10.1007/bf00999243.

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Anderson, James G., e Carolyn E. Aydin. "Evaluating the Impact of Health Care Information Systems". International Journal of Technology Assessment in Health Care 13, n.º 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, n.º 1-2 (julho de 1990): 73–92. http://dx.doi.org/10.1016/0020-7101(90)90021-l.

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Alkhateeb, Arwa, Takashi Takahashi, Salah Mandil e Yasuyoshi Sekita. "The changing role of health care IC card systems". Computer Methods and Programs in Biomedicine 60, n.º 2 (setembro de 1999): 83–92. http://dx.doi.org/10.1016/s0169-2607(99)00023-1.

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Safran, C., H. Takeda e A. Hasman. "Quality of health care: informatics foundations". Yearbook of Medical Informatics 12, n.º 01 (agosto de 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 area.

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O’Desky, R. I., M. J. Ball e E. E. Ball. "Computers in Health Care for the 21st Century". Methods of Information in Medicine 29, n.º 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 e Neveen Awad. "Health care and services delivery systems as complex adaptive systems". Communications of the ACM 48, n.º 5 (maio de 2005): 36–44. http://dx.doi.org/10.1145/1060710.1060737.

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Safran, C., H. Takeda e A. Hasman. "Quality of Health Care: Informatics Foundations". Methods of Information in Medicine 42, n.º 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. Conclusions: Despite many publications concerning diagnostic support systems their use in clinical practice is limited. Reminder systems do appear to have an impact on health outcomes. Standards for guideline models are being developed for effective sharing of guidelines across systems. Electronic patient records and physician order entry systems are useful aids in medical risk management.

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Wood, Colin J. B., Harold D. Foster e Norman E. Hardy. "Crisis Simulation and Health Care Systems". Simulation & Gaming 28, n.º 2 (junho de 1997): 198–216. http://dx.doi.org/10.1177/1046878197282004.

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MacDougall, Conan, e Ron E. Polk. "Antimicrobial Stewardship Programs in Health Care Systems". Clinical Microbiology Reviews 18, n.º 4 (outubro de 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. Such programs should be administered by multidisciplinary teams composed of infectious diseases physicians, clinical pharmacists, clinical microbiologists, and infection control practitioners and should be actively supported by hospital administrators. Strategies for changing antimicrobial prescribing behavior include education of prescribers regarding proper antimicrobial usage, creation of an antimicrobial formulary with restricted prescribing of targeted agents, and review of antimicrobial prescribing with feedback to prescribers. Clinical computer systems can aid in the implementation of each of these strategies, especially as expert systems able to provide patient-specific data and suggestions at the point of care. Antibiotic rotation strategies control the prescribing process by scheduled changes of antimicrobial classes used for empirical therapy. When instituting an antimicrobial stewardship program, a hospital should tailor its choice of strategies to its needs and available resources.

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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, n.º 1 (fevereiro de 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 practice, 2) creates a new perspective for computerized decision support in health care organisations, and 3) points to the need for new directions in research. This paper highlights the factors that are critical to the success of interfacing between health managerial decision-makers and effective computerized decision aids.

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

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Giuse, D. A., e K. A. Kuhn. "From Hospital Information Systems to Health Information Systems". Methods of Information in Medicine 40, n.º 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 support of processes. Conclusions: Significant efforts of all parties involved in the health care process are needed to improve, implement, and evaluate the concepts described.

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Wallace, Jean E., Steven P. Friesen, Deborah E. White, Janet G. Gilmour e 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, n.º 4 (outubro de 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 increases in computer use were unrelated to HCP stress. The potentially negative impact of the system on the quality of patient care was highly correlated with increased job stress. After 20 months, HCPs reported spending less time searching, entering and retrieving patient information, but these indicators of computer use were now highly correlated with stress. While some negative perceptions of the impact of the PCIS declined over time, HCPs reported ongoing stress related to concerns about quality of patient care even after 20 months of use.

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MURPHY, JOHN, e JANE GRIMSON. "COOPERATIVE INFORMATION SYSTEMS: INTEROPERABILITY IN HEALTH CARE LEGACY APPLICATIONS". International Journal of Cooperative Information Systems 07, n.º 01 (março de 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 are difficult to integrate and virtually impossible to rewrite. In this article we discuss and assess the work of the Jupiter Project and its successor LIOM (Legacy system Interoperability using Object-oriented Methods).

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Jain, Uday. "Personal Digital Health Assistants". Journal of Clinical Surgery and Research 3, n.º 1 (7 de janeiro de 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 patients or their caregivers with assistance from professionals. Many automated systems can be utilized free of charge. Some are available as part of a prepaid health plan.

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Fajingbesi, Fawwaz E., Rashidah F. Olanrewaju, Bisma Rasool Pampori, Sheroz Khan e Mashkuri Yacoob. "Real Time Telemedical Health Care Systems with Wearable Sensors". Asian Journal of Pharmaceutical Research and Health Care 9, n.º 3 (10 de julho de 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 with most attention given to cardiovascular patients in recent times. The huge literature available reflects the size of activity and attention given to telemedicine. The reviewed works are published within the last five years. Furthermore, the proposed systems are compared in terms of their connectivity, targeted application, type of sensor used, etc. Our study reveals Telemedicine to be a profound field with researchers from multidisciplinary sectors. However, there are still many gaps that need to be filled before maturity. Factors such as efficient wireless transmission, cyber data security, sensor design and integration, device miniaturization and intelligent algorithm for multi parameter data fusion require further considerations.

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Biswas, Sujit, Kashif Sharif, Fan Li e Saraju Mohanty. "Blockchain for E-Health-Care Systems: Easier Said Than Done". Computer 53, n.º 7 (julho de 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, n.º 01 (agosto de 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 hardware or the software, but human factors that would be crucial for successful applications of computers in health care. In the past sometimes unrealistic expectations were held, such as on the impact of medical decision-support systems, or on the overly optimistic contributions of electronic health records. Although the technology is widely available, some applications appear to be far more complex than expected. Health care processes can seldom be fully standardized. Humans enter at least in two very different roles in the loop of information processing: as subjects conducting care - the clinicians - and as subjects that are the objects of care - the patients.Medical informatics lacks a specific methodology; methods are borrowed from adjacent disciplines such as physics, mathematics and, of course, computer science. Human factors play a major role in applying computers in health care. Everyone pursuing a career in biomedical informatics needs to be very aware of this. It is to be expected that the quality of health care will increasingly be assessed by computer systems to fulfill the requirements of medical evidence.

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Wright, A., M. Burton, G. Fraser, M. Krall, S. Maviglia, N. Mohammed-Rajput, L. Simonaitis, F. Sonnenberg, B. Middleton e M. Kantor. "Comparison of Computer-based Clinical Decision Support Systems and Content for Diabetes Mellitus". Applied Clinical Informatics 02, n.º 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 these sites, and determine how the sites use CDS beyond individual patient care in order to identify characteristics of CDS systems and content that have been successfully implemented in diabetes care.Methods: We compared CDS systems in six collaborating sites of the Clinical Decision Support Consortium. We gathered CDS content on care for patients with diabetes mellitus and surveyed institutions on characteristics of their site, the infrastructure of CDS at these sites, and the capabilities of CDS at these sites.Results: The approach to CDS and the characteristics of CDS content varied among sites. Some commonalities included providing customizability by role or user, applying sophisticated exclusion criteria, and using CDS automatically at the time of decision-making. Many messages were actionable recommendations. Most sites had monitoring rules (e.g. assessing hemoglobin A1c), but few had rules to diagnose diabetes or suggest specific treatments. All sites had numerous prevention rules including reminders for providing eye examinations, influenza vaccines, lipid screenings, nephropathy screenings, and pneumococcal vaccines.Conclusion: Computer-based CDS systems vary widely across sites in content and scope, but both institution-created and purchased systems had many similar features and functionality, such as integration of alerts and reminders into the decision-making workflow of the provider and providing messages that are actionable recommendations.

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Hovenga, Evelyn Johanna Sophia. "Importance of achieving semantic interoperability for national health information systems". Texto & Contexto - Enfermagem 17, n.º 1 (março de 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 concepts appear to be poorly understood by key decision-makers. Alternatively, the political agendas and the need to look after a variety of vested interests continue to dominate. It is concluded that we must establish and actively promote a sound business case for the adoption of a national health computer science strategy that is based on the best available scientific evidence that supports a sustainable health system.

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Balcombe, Luke, e Diego De Leo. "Human-Computer Interaction in Digital Mental Health". Informatics 9, n.º 1 (22 de fevereiro de 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 (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.

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Smith, Duane L., Holger Hansen e Mehtab S. Karim. "Management information support for district health systems based on Primary Health Care". Information Technology for Development 4, n.º 4 (dezembro de 1989): 779–811. http://dx.doi.org/10.1080/02681102.1989.9627178.

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Augusto, Vincent, e Xiaolan Xie. "A Modeling and Simulation Framework for Health Care Systems". IEEE Transactions on Systems, Man, and Cybernetics: Systems 44, n.º 1 (janeiro de 2014): 30–46. http://dx.doi.org/10.1109/tsmc.2013.2239640.

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Camps, Theo, e Patrick Kenis. "Health care, chains and networks". Journal on Chain and Network Science 10, n.º 2 (1 de janeiro de 2010): 87–88. http://dx.doi.org/10.3920/jcns2010.x111.

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DHILLON, B. S., e MUTHURAMAN RAJENDRAN. "HUMAN ERROR IN HEALTH CARE SYSTEMS: BIBLIOGRAPHY". International Journal of Reliability, Quality and Safety Engineering 10, n.º 01 (março de 2003): 99–117. http://dx.doi.org/10.1142/s0218539303001019.

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De Georgia, Michael A., Farhad Kaffashi, Frank J. Jacono e 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 patient data remain frustratingly difficult because of incompatibilities among monitoring equipment, proprietary limitations from industry, and the absence of standard data formatting. In this paper, we will review the history of computers in the intensive care unit along with commonly used monitoring and data acquisition systems, both those commercially available and those being developed for research purposes.

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Luque, Joy L., Michael J. Pereira e James D. Brown. "USING COMPUTER SYSTEMS TO ENHANCE CASE MANAGEMENT". Quality Management in Health Care 5, n.º 1 (1996): 17–24. http://dx.doi.org/10.1097/00019514-199605010-00003.

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Luque, Joy L., Michael J. Pereira e James D. Brown. "USING COMPUTER SYSTEMS TO ENHANCE CASE MANAGEMENT". Quality Management in Health Care 5, n.º 1 (1996): 17–24. http://dx.doi.org/10.1097/00019514-199623000-00003.

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Shumway, J. M., A. I. Jacknowitz e 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, n.º 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 indicate that physicians and nurses are less knowledgeable about the benefits that can be obtained through the use of computerized information resources and, consequently, are more skeptical concerning the role of computer information systems in reducing the costs and improving the quality of health care. Of interest as well was the finding that pharmacists felt more strongly than physicians and nurses that computer information systems would readily fit into their daily work routine.

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Kahen, G., e B. McA Sayers. "Health-Care Technology Transfer: Expert and Information Systems for Developing Countries". Methods of Information in Medicine 36, n.º 02 (março de 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 improvement and for socio-economic development, but the analysis of prior experience in transferring these technologies to developing countries. Following this approach, and using operational research techniques such as the Analytic Hierarchy Process, a subjective assessment model has been described that can systematically guide decision-making about computer-based health-care technology to be transferred to developing countries.

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Lanzola, G., M. Stefanelli e S. Falasconi. "An Ontology-based Multi-agent Architecture for Distributed Health-care Information Systems". Methods of Information in Medicine 36, n.º 01 (janeiro de 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 of the patient-management process. This paper outlines a general methodology to make architectural choices while designing or integrating new software components into a distributed health-care information system. A particular stress is laid on the specification of shared conceptual models, or ontologies, providing agents committing to them with the common semantic foundation required for effective interoperation.

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Nikkhah, Fahimeh, e Masoumeh Safkhani. "LAPCHS: A lightweight authentication protocol for cloud-based health-care systems". Computer Networks 187 (março de 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, n.º 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 e Aditya Khamparia. "An intelligent unsupervised technique for fraud detection in health care systems". Intelligent Decision Technologies 15, n.º 1 (24 de março de 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 show probable dishonest providers on the ground of their allegations. Obtained results were found more promising compared to existing techniques. Around 98.76% accuracy is obtained using an isolated forest algorithm.

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Wang, Shiwei. "Route Planning of Health Care Tourism Based on Computer Deep Learning". Wireless Communications and Mobile Computing 2022 (5 de agosto de 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 area where agriculture, tourism, and service industries intersect, and it is the link that maintains the common development of the three. Applying the concept of health tourism to the planning and design of leisure agricultural parks can make people satisfied in tourism. The pursuit of health and wellness also drives the development of the rural economy. With the progress of the economy and the continuous improvement of people’s living standards, the traditional travel mode is gradually changing towards the direction of informatization. The traditional way of travel-by-travel agencies planning travel routes is no longer the first choice for people to travel. On the one hand, the rapid development of the Internet brings convenience to people, and on the other hand, it also brings a lot of information to the public.

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Hillson, Steven D., e Donald P. Connelly. "Computer-assisted test interpretation: Considerations in patient care". Journal of Medical Systems 16, n.º 5 (outubro de 1992): 195–205. http://dx.doi.org/10.1007/bf01000272.

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Bordin, R., P. D. Fisher, M. M. Klück e 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, n.º 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 contribute to the development of health policy. Results: A required 60-hour course provides students with an opportunity to learn about the structure, planning and administration of the Brazilian and of other health care systems, and their roles, as health care professionals, within those systems. The course is also intended to allow students to develop the minimal skill set required for manipulation of health care data available from national and international databases, and to use the Internet as a source of information in health care. The curriculum includes: Module 1 – basic computer skills, an introduction to networks as an infrastructure for management, the use of spreadsheets and databases for data processing and system modelling, retrieval of Internet-based health data and on-line bibliographic searches; Module 2 – health system financing and service quality management, using a university hospital as a case study; and Module 3 – a comparison of the Brazilian public health care system (SUS) with other national health systems resulting in a term paper formatted for journal submission and presented at a simulated conference at the end of the course. Conclusion: Progressive shift in emphasis from theory to practice in this course has resulted in better development of the skill set required for the students.

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Bowes, Claire L., e Adrian J. Wilson. "Information management systems for intensive care". Computer Methods and Programs in Biomedicine 44, n.º 1 (julho de 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, n.º 01 (31 de janeiro de 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 implementation and related challenges in the health care system and community-based health insurance (CBHI). Results: This study has identified 14 challenges to implementing ICT in the Ethiopian Health care system Age, educational status, computer access, personal initiation, infrastructure, computer skill, poor internet connection, budget shortage and management style, workload, patient interaction, Lack of e-government readiness, absence of multi-sectorial involvement and lack of enabling policies. Conclusion: This systematic review study underlined that poor ICT infrastructure, lack of computer skills, shortage of budget, Management style and lack of enabling policies were the most common challenges in the implementation of ICT in the Ethiopian health care system.

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Kimovski, Dragi, Sasko Ristov e Radu Prodan. "Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum". Computer 55, n.º 10 (outubro de 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 e Mikael Fernström. "Pervasive Computing Support in the Transition towards Personalised Health Systems". International Journal of E-Health and Medical Communications 2, n.º 3 (julho de 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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McGreevey, John D., Colleen P. Mallozzi, Randa M. Perkins, Eric Shelov e Richard Schreiber. "Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems". Applied Clinical Informatics 11, n.º 01 (janeiro de 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 Association 2019 Clinical Informatics Conference in Atlanta, Georgia, United States. The assembled health care institution leaders represent academic, pediatric, community, and specialized care domains. We describe governance and management, structural concepts and components, and human–computer interactions with alerts, and make recommendations regarding these domains based on our experience supplemented with literature review. This paper focuses on alerts that impact bedside clinicians. Results The manuscript addresses the range of considerations relevant to alert management including a summary of the background literature about alerts, alert governance, alert metrics, starting an alert management program, approaches to evaluating alerts prior to deployment, and optimization of existing alerts. The manuscript includes examples of alert optimization successes at two of the represented institutions. In addition, we review limitations on the ability to evaluate alerts in the current state and identify opportunities for further scholarship. Conclusion Ultimately, alert management programs must strive to meet common goals of improving patient care, while at the same time decreasing the alert burden on clinicians. In so doing, organizations have an opportunity to promote the wellness of patients, clinicians, and EHRs themselves.

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Raja, Bilal Saeed, e 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, n.º 2 (15 de julho de 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, n.º 3 (dezembro de 2008): 238–48. http://dx.doi.org/10.1016/j.cmpb.2008.04.003.

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Campbell, Carlene J., e Dorothea E. Mcdowell. "Assessing Nurses' Computer Literacy in Order to Maximize Their Use of Health Care Information Systems". CIN: Computers, Informatics, Nursing 28, n.º 5 (setembro de 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 e 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, n.º 2 (fevereiro de 2018): e020738. http://dx.doi.org/10.1136/bmjopen-2017-020738.

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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 2016.MethodsSpatial mapping of family practices in England in 2016 by clinical computer system at two geographical levels, the lower Clinical Commissioning Group (CCG, 209 units) and the higher National Health Service regions (14 units). Data for practices included numbers of doctors, nurses and patients, and area deprivation.ResultsOf 7526 practices, Egton Medical Information Systems (EMIS) was used in 4199 (56%), SystmOne in 2552 (34%) and Vision in 636 (9%). Great regional variability was observed for all systems, with EMIS having a stronger presence in the West of England, London and the South; SystmOne in the East and some regions in the South; and Vision in London, the South, Greater Manchester and Birmingham.ConclusionsPCDs based on single clinical computer systems are geographically clustered in England. For example, Clinical Practice Research Datalink and The Health Improvement Network, the most popular primary care databases in terms of research outputs, are based on the Vision clinical computer system, used by <10% of practices and heavily concentrated in three major conurbations and the South. Researchers need to be aware of the analytical challenges posed by clustering, and barriers to accessing alternative PCDs need to be removed.

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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, n.º 4 (11 de agosto de 2022): 1–13. http://dx.doi.org/10.4018/ijehmc.309438.

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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 hand, today's EHR systems fall short of providing patients with traceable, trustworthy, and secure ownership over their medical data, creating serious security risks. In this article, the authors propose PcBEHR (patient-controlled blockchain enabled electronic health records) as a way for patients to have safe control over their data that is decentralized, immutable, transparent, traceable, and trustworthy. Decentralized interplanetary file storage (IPFS) is used in the suggested technique.

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