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Letteratura scientifica selezionata sul tema "Computer systems in health care"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 20 febbraio 2023

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

1

Raghupathi, W. "Health care information systems". Communications of the ACM 40, n. 8 (agosto 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. 2 (aprile 1989): 59–65. http://dx.doi.org/10.1007/bf00999243.

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3

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. 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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4

Lincoln, Thomas L. "Medical informatics: The substantive discipline behind health care computer systems". International Journal of Bio-Medical Computing 26, n. 1-2 (luglio 1990): 73–92. http://dx.doi.org/10.1016/0020-7101(90)90021-l.

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5

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. 2 (settembre 1999): 83–92. http://dx.doi.org/10.1016/s0169-2607(99)00023-1.

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6

Safran, C., H. Takeda e A. Hasman. "Quality of health care: informatics foundations". Yearbook of Medical Informatics 12, n. 01 (agosto 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. 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. 5 (maggio 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. 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. 2 (giugno 1997): 198–216. http://dx.doi.org/10.1177/1046878197282004.

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Tesi sul tema "Computer systems in health care"

1

Preece, Alun David. "Comparative approaches to building expert systems for health care". Thesis, Swansea University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277502.

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Toth-Pal, Eva. "Computer decision support systems for opportunistic health screening and for chronic heart failure management in primary health care /". Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-435-8/.

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Zhang, Peng. "Multi-agent Systems in Diabetic Health Care". Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00263.

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This thesis discusses how Multi-agent Systems (MAS) should be designed in the context of diabetic health care. Three fields are touched: computer science, socio-psychology and systems science. Agent Technology is the core technology in the research. Theories from socio-psychology and systems science are applied to facilitate the discussion about computer agents. As the integration of socio-psychology and systems science, Activity Systems Theory is introduced to give a synthesized description of MAS. Laws and models are introduced with benefits on both individual agent and agent communities. Cybernetics from systems science and knowledge engineering from computer science are introduced to approach the design and implementation of the individual agent architecture. A computer agent is considered intelligent if it is capable of reactivity, proactivity and social activity. Reactivity and proactivity can be realized through a cybernetic approach. Social activity is much more complex, since it considers MAS coordination. In this thesis, I discuss it from the perspectives of socio-psychology. The hierarchy and motivation thinking from Activity Systems Theory is introduced to the MAS coordination. To behave intelligent, computer agents should work with knowledge. Knowledge is considered as a run-time property of a group of agents (MAS). During the MAS coordination, agents generate new information through exchanging the information they have. A knowledge component is needed in agent’s architecture for the knowledge related tasks. In my research, I adopt CommonKADS methodology for the design and implementation of agent’s knowledge component. The contribution of this research is twofold: first, MAS coordination is described with perspectives from socio-psychology. According to Activity Systems Theory, MAS is hierarchically organized and driven by the motivation. This thesis introduces a motivation-driven mechanism for the MAS coordination. Second, the research project Integrated Mobile Information Systems for health care (IMIS) indicates that the diabetic health care can be improved by introducing agent-based services to the care-providers and care-receivers. IMIS agents are designed with capabilities of information sharing, organization coordination and task delegation. To perform these tasks, the IMIS agents interact with each other based on the coordination mechanism that is discussed above.

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Karlsson, Johan. "Information structures and workflows in health care informatics". Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-33829.

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Patient data in health care have traditionally been used to support direct patient care. Although there is great potential in combining such data with genetic information from patients to improve diagnosis and therapy decisions (i.e. personalized medicine) and in secondary uses such as data mining, this is complex to realize due to technical, commercial and legal issues related with combining and refining patient data. Clinical decision support systems (CDSS) are great catalysts for enabling evidence-based medicine in clinical practice. Although patient data can be the base for CDSS logic, it is often scattered among heterogenous data sources (even in different health care centers). Data integration and subsequent data mining must consider codification of patient data with terminology systems in addition to legal and ethical aspects of using such data. Although computerization of the patient record systems has been underway for a long time, some data is still unstructured. Investigation regarding the feasibility of using electronic patient records (EPR) as data sources for data mining is therefore important. Association rules can be used as a base for CDSS development. Logic representation affect the usability of the systems and the possibility of providing explanations of the generated advice. Several properties of these rules are relatively easy to explain (such as support and confidence), which in itself can improve end-user confidence in advice from CDSS. Information from information sources other than the EPR can also be important for diagnosis and/or treatment decisions. Drug prescription is a process that is particularly dependent on reliable information regarding, among other things, drug-drug interactions which can have serious effects. CDSS and other information systems are not useful unless they are available at the time and location of patient care. This motivates using mobile devices for CDSS. Information structures of interactions affect representation in informatics systems. These structures can be represented using a category theory based implementation of rough sets (rough monads). Development of guidelines and CDSS can be based on existing guidelines with connections to external information systems that validate advice given the particular patient situation (for example, previously prescribed drugs may interact with recommended drugs by CDSS). Rules for CDSS can also be generated directly from patient data but this assumes that such data is structured and representative. Although there is great potential in CDSS to improve the quality and efficiency of health care, these systems must be properly integrated with existing processes in health care (workflows) and with other information systems. Health care workflows manage physical resources such as patients and doctors and can help to standardize care processes and support management decisions through workflow simulation. Such simulations allow information bottle-necks or insufficient resources (equipment, personnel) to be identified. As personalized medicine using genetic information of patients become economically feasible, computational requirements increase. In this sense, distributing computations through web services and system-oriented workflows can complement human-oriented workflows. Issues related to dynamic service discovery, semantic annotations of data, service inputs/outputs affect the feasibility of system-oriented workflow construction and sharing. Additionally, sharing of system-oriented workflows increase the possibilities of peer-review and workflow re-usage.

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Lind, Thomas. "Change and resistance to change in health care : Inertia in sociotechnical systems". Licentiate thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-224862.

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This thesis explores change and resistance to change of IT systems in organisations from a sociotechnical perspective. The work is drawing on empirical data gathered during two Action Research projects in Swedish Health Care: one regarding the deployment of electronic patient record systems within health care organisations, and the other regarding the deployment of eHealth services geared towards patients and citizens. Resistance to change is classified as an indicator of social inertia, and the concept of counter-implementation, comprising three general strategies to obstruct change initiatives, is used to highlight the political aspects of social inertia. For the analysis, the concept of social inertia is used as a point of departure towards inertia in sociotechnical systems by applying values and principles from sociotechnical systems research, most prominently the interdependence-characteristic. This extended concept is used to show and discuss how IT systems can either enforce change or be a source of inertia preventing change in organisations, and such planned or inadvertent effects of implementing IT systems are discussed as a significant source of user resistance.

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Ling, Meng-Chun. "Senior health care system". CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.

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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.

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Kyhlbäck, Hans. "The Problem of Objects in Design of Health Care Information Systems". Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00293.

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This thesis is about two different theoretical interpretations of objects and object-orientation in design of health care information systems – the interpretations of Activity Theory/Developmental Work Research and Computer Science respectively. One motive to my interest in objects of work and software, is to better understand the problems and possibilities in an inter¬dis¬ciplinary research project. With an origin in 2001, a Wound Care Project began as a joint R & D endeavour with the initial idea of utili¬zing digital photos. Soon, an information system (“Hedvig”) was developed for the purpose of managing digital photos and related treatment records on wounds. Later, this work expanded in creation of a distributed information system (“Helar”), a digital prototype for support of wound care treatment. Eventually, the thesis is summing up reflections related to the object concepts. AT/DWR has its strength in analysis and design of required change in a work practice but is still weak in method and techniques for support of making specific computa¬tional systems. In a way this shortcoming is thought of to be balanced by the technological CS discipline of which one of its main forces is to develop theory and practice for construction of computational information systems. This thesis suggest, in the inter¬dis¬ciplinary field of Health Care Information Systems Design, a further developed object con¬cept, and related scenarios and use cases, as a way of taking advantage of a combination of those two different strengths.
Avhandlingen handlar om två olika teoretiska tolkningar av objekt och objektorientering i design av informationssystem för hälso- och omvårdnadsarbete - tolkningar utifrån verksamhetsteori/utvecklande arbetsforskning (activity theory/developmental work research: AT/DWR) å ena sidan och datavetenskap (computer science: CS) å den andra. Ett motiv för mitt intresse för objekt i arbete och i programvara, är att bättre förstå problem och möjligheter i ett tvärvetenskapligt forskningsprojekt. Med en början i 2001, startade ett sårvårdsprojekt som ett forsknings- och utvecklingsarbete med den initiala idén att nyttja digitala foton, och snart utvecklades ett informationssystem ("Hedvig") för syftet att hantera digitala foton och annan relaterad behandlingsdokumentation för sårvård. Senare expanderade detta arbetet i skapandet av ett distribuerat informationssystem ("Helar"), en digital prototyp för stöd av sårbehandlingsarbete. Denna avhandling summerar reflektioner relaterade till objektbegreppen. AT/DWR har sin styrka i analys och design av efterfrågad förändring av en arbetspraktik, men är fortfarande svag i metod och tekniker för att stödja skapandet av specifika datorsystem. På ett sätt är det här tillkortakommandet tänkt att balanseras av den teknologiskt datavetenskapliga disciplinen, där en av dess främsta drivkrafter är att utveckla teori och praktik för konstruktion av datoriserade informationssystem. I det tvärvetenskapliga fältet av design av informationssystem för hälso- och omvårdnadsarbete, föreslår denna avhandling fortsatt utveckling av objektkoncepten, och utveckling av de relaterade "scenarios" och "use cases", som ett sätt att dra fördel av en kombination av dessa två olika förtjänster, som de olika disciplinerna står för. objekt, objektorientering, sårvård, digitala foton, verksamhetsteori, datavetenskap, informationssystem

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Gargett, Ross. "The Use of Automated Speech Recognition in Electronic Health Records in Rural Health Care Systems". Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/honors/340.

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Since the HITECH (Health Information Technology for Economic and Clinical Health) Act was enacted, healthcare providers are required to achieve “Meaningful Use.” CPOE (Clinical Provider Order Entry), is one such requirement. Many providers prefer to dictate their orders rather than typing them. Medical vocabulary is wrought with its own terminology and department-specific acronyms, and many ASR (Automated Speech Recognition) systems are not trained to interpret this language. The purpose of this thesis research was to investigate the use and effectiveness of ASR in the healthcare industry. Multiple hospitals and multiple clinicians agreed to be followed through their use of an ASR system to enter patient data into the record. As a result of this research, the effectiveness and use of the ASR was examined, and multiple issues with the use and accuracy of the system were uncovered.

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Hsieh, Sheau-Ling 1952. "Distributed multimedia collaborative system framework for tele-healthcare remote consultation systems". Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/284034.

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The Remote Consultation and Diagnosis (RCD) in Global Picture Archiving and Communication System (Global PACS) is a unique suite of multimedia telemedicine applications developed at the University of Arizona. The applications support real-time patients' data, image files, audio and video consultation and diagnosis annotation exchanges. The RCD enables joint collaboration between pathologists, radiologists, or physicians while they are at distant geographical locations. This project provides four RCD scenarios, i.e., Case Review, Case Acquire, Store and Forward Analysis, as well as Interactive Diagnosis and Consultation. The RCD Global PACS environment consists of heterogeneous, autonomous, and legacy resources. The Common Object Request Broker Architecture (CORBA), Java Database Connectivity (JDBC), and Java language provide the capability to combine the RCD Global PACS resources into an integrated, interoperable, and scalable system. The underneath technology, including IDL, ORB, Event Service, IIOP, JDBC/ODBC, legacy system wrapping and Java implementation are explored. This distributed collaborative CORBA/JDBC based framework will challenge the advanced, medical information management requirements. It also makes the RCD Global PACS both hardware and software technologically independent. As our research and development extend, we will continue to incorporate the latest advances in computer technology. RCD Global PACS is not another new tool in telemedicine, but rather a new paradigm for the delivery of health services that requires process reengineering, cultural changes, as well as organizational changes. It is a whole new way of practicing in telemedicine. We ensure that the RCD Global PACS project has long-term, comprehensive solutions for today and tomorrow's healthcare needs.

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Kunwar, Ramesh, e Mustafa Al-Leddawi. "Reviewing Security and Privacy Aspects in Combined Mobile Information System (CMIS) for health care systems". Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4649.

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Medical area has been benefited by the use of ICT (Information and Communication Technology) in recent days. CMIS (Combined Mobile Information System), our proposed model system, is such a system targeted for health care system. IMIS (Integrated Mobile Information System), a system for diabetic healthcare, which is being developed in Blekinge Institute of Technology will be taken as a case study for our proposed system. CMIS is a multi-role system with core service being medical-care related and others like self-monitoring, journal-writing, communicating with fellow patients, relatives, etc. The main reason for not using CMIS could be the security and privacy of the users' information. Any system connected to Internet is always prone to attack, and we think CMIS is no exception. The security and privacy is even more important considering the legal and ethical issues of the sensitive medical data. The CMIS system can be accessed through PDA (Personal Digital Assistant), smart phones or computer via Internet using GPRS (General Packet Radio Service)/UMTS (Universal Mobile Telecommunication System) and wired-communication respectively. On the other hand, it also increases the burden for security and privacy, related to the use of such communications. This thesis discusses various security and privacy issues arising from the use of mobile communication and wired communication in context of CMIS i.e., issues related to GPRS (mobile) and web application (using wired communication). Along with the threats and vulnerabilities, possible countermeasures are also discussed. This thesis also discusses the prospect of using MP2P (Mobile Peer-to-Peer) as a service for some services (for example, instant messaging system between patients) in CMIS. However, our main concern is to study MP2P feasibility with prospect to privacy. In this thesis, we have tried to identify various security and privacy threats and vulnerabilities CMIS could face, security services required to be achieved and countermeasure against those threats and vulnerabilities. In order to accomplish the goal, a literature survey was carried out to find potential vulnerabilities and threats and their solution for our proposed system. We found out that XSS (cross-site scripting), SQL injection and DoS attack being common for a web application. We also found that attack against mobile communication is relatively complex thus difficult to materialize. In short, we think that an overall planned security approach (routinely testing system for vulnerabilities, applying patches, etc) should be used to keep threats and attacks at bay.

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Più fonti

Libri sul tema "Computer systems in health care"

1

Orthner, Helmuth F. Implementing Health Care Information Systems. New York, NY: Springer New York, 1989.

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2

I, Fox Brent, e Thrower Margaret R, a cura di. Health care informatics: A skills-based resource. Washington, D.C: American Pharmacists Association, 2005.

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F, Orthner Helmuth, Blum Bruce I e Symposium on Computer Applications in Medical Care (10th : 1986 : Washington, D.C.), a cura di. Implementing health care information systems. New York: Springer-Verlag, 1989.

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Health care computer systems for the 1990s: Critical executive decisions. Ann Arbor, Mich: Health Administration Press, 1991.

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1959-, Armoni Adi, a cura di. Effective healthcare information systems. Hershey, PA: IRM Press, 2002.

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S, Dick Richard, Steen Elaine B e Detmer Don E, a cura di. The computer-based patient record: An essential technology for health care. Washington, D.C: National Academy Press, 1997.

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Institute of Medicine (U.S.). Committee on Improving the Patient Record. The computer-based patient record: An essential technology for health care. A cura di Dick Richard S e Steen Elaine B. Washington, D.C: National Academy Press, 1991.

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Managing health care information resources. Rockville, Md: Aspen Publishers, 1987.

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Craig, Dickstein, e Wilson Alan C, a cura di. Health care data and the SAS system. Cary, N.C: SAS Institute, 2001.

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Gillies, Alan C. Excel in health care. London: Chapman & Hall Medical, 1995.

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Capitoli di libri sul tema "Computer systems in health care"

1

Blum, Bruce I. "Computers and Health Care". In Clinical Information Systems, 33–68. New York, NY: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-8593-6_2.

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Blum, Bruce I. "Computers and Health Care". In Clinical Information Systems, 33–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-26537-6_2.

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Kröse, Ben, Tim van Oosterhout e Tim van Kasteren. "Activity Monitoring Systems in Health Care". In Computer Analysis of Human Behavior, 325–46. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-994-9_12.

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Blum, B. I., e H. F. Orthner. "Implementing Health Care Information Systems". In Computers and Medicine, 3–21. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3488-3_1.

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Chinaei, Amir H., e Frank Wm Tompa. "User-Managed Access Control for Health Care Systems". In Lecture Notes in Computer Science, 63–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552338_5.

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Fatima, Tahmeena, e Singaraju Jyothi. "Big Data Analytics in Health Care". In Emerging Research in Data Engineering Systems and Computer Communications, 377–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0135-7_36.

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Rodrigues, Nuno, e João L. Vilaça. "A Mobile Health Care Rule-Based System". In Communications in Computer and Information Science, 371–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24352-3_39.

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Schwaninger, Markus. "Anticipating the Unexpected: Simulating a Health Care System Showing Counterintuitive Behavior". In Computer Aided Systems Theory – EUROCAST 2017, 220–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74718-7_27.

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Samuel, Cherian. "Development of Thinking Computer Systems and Machine Learning in Health Care". In Healthcare and Knowledge Management for Society 5.0, 37–46. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003168638-3.

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Grange, Hélène, e Jérémie Leynon. "Crisis Management Plan: Preventive Measures and Lessons Learned from a Major Computer System Failure". In Health Care Systems Engineering for Scientists and Practitioners, 203–14. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35132-2_19.

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Atti di convegni sul tema "Computer systems in health care"

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Jamar, Pamela, John Mattison, Matthew J. Orland, Jo Carol Gordon Hiatt, John Karat e Janette Coble. "Human-computer interaction in health care". In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286539.

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Longo, Luca, Bridget Kane e Lucy Hederman. "Argumentation theory in health care". In 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2012. http://dx.doi.org/10.1109/cbms.2012.6266323.

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Periyasamy, Kasi, Vangalur Alagar e Kaiyu Wan. "Dependable Design for Elderly Health Care". In 2017 Federated Conference on Computer Science and Information Systems. IEEE, 2017. http://dx.doi.org/10.15439/2017f261.

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Seror, Ann. "Virtual health care infrastructures: Markets and hierarchies". In 2011 24th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2011. http://dx.doi.org/10.1109/cbms.2011.5999036.

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5

Obayi, Adaora Angela, e Kennedy Chinedu Okafor. "Cloud-Fog Orchestration Infrastructure for Ante-natal Health Care Systems". In 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS). IEEE, 2020. http://dx.doi.org/10.1109/icmcecs47690.2020.246984.

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6

Crawford, P., A. Dooley e V. D'Amato. "75. Development of a Comprehensive, Computer-Based, Confined Space Management System". In AIHce 1996 - Health Care Industries Papers. AIHA, 1999. http://dx.doi.org/10.3320/1.2765188.

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7

Alkaabi, Rashed, A. o. El Halim e Samy Mahmoud. "Improving Resource Allocation Efficiency in Health Care Delivery Systems". In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277283.

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8

Saijo, Yoshifumi, Takahiro Iwamoto, Kazuto Kobayashi, Satoshi Yamaguchi, Hiroshi Tsunoda, Hidehisa Nakayama, Nei Kato e Yoshiaki Nemoto. "Ultra-Mobile Echo Network in Health Care System". In 2008 21st International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2008. http://dx.doi.org/10.1109/cbms.2008.23.

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9

Indumathi, J., e G. V. Uma. "Fabrication of Ontology for Security in Health Care Systems". In 2008 32nd Annual IEEE International Computer Software and Applications Conference. IEEE, 2008. http://dx.doi.org/10.1109/compsac.2008.199.

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10

Shukla, Shubhangu, Pulkit Singh, Narayan Neopane e Rishabh. "Health Care Management System Using Time Series Analysis". In 2019 4th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2019. http://dx.doi.org/10.1109/iscon47742.2019.9036150.

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Rapporti di organizzazioni sul tema "Computer systems in health care"

1

Bocioaga, Andreea. Health and Social Care Systems Redesign. Iriss, ottobre 2020. http://dx.doi.org/10.31583/esss.20201009.

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2

Mossialos, Elias Mossialos, Martin Wenzl Wenzl, Robin Osborn Osborn e Dana Sarnak Sarnak. International Profiles of Health Care Systems, 2015. New York, NY United States: Commonwealth Fund, gennaio 2016. http://dx.doi.org/10.15868/socialsector.25100.

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3

Friedman, Nicole Lisa. Impactful Care: Addressing Social Determinants of Health Across Health Systems. Portland State University Library, gennaio 2000. http://dx.doi.org/10.15760/etd.6957.

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4

Sarthou, Wilfredo A. Computer Simulation of Podiatry Clinic at Charette Health Care Center. Fort Belvoir, VA: Defense Technical Information Center, aprile 1998. http://dx.doi.org/10.21236/ada372366.

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5

Klein, Sarah Klein, Douglas McCarthy McCarthy e Alexander Cohen Cohen. Accountable Care: Building Systems for Population Health Management. New York, NY United States: Commonwealth Fund, ottobre 2014. http://dx.doi.org/10.15868/socialsector.25012.

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6

Georgoulakis, James M., Atanacio C. Guillen, Cherry L. Gaffney, Sue E. Akins e David R. Bolling. Evaluation of Ambulatory Care Classification Systems for the Military Health Care System. Fort Belvoir, VA: Defense Technical Information Center, dicembre 1990. http://dx.doi.org/10.21236/ada234539.

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7

Georgoulakis, James M., Atanacio C. Guillen, Cherry L. Gaffney, Sue E. Akins, David R. Bolling e Velda R. Austin. Evaluation of Ambulatory Care Classification Systems for the Military Health Care System. Fort Belvoir, VA: Defense Technical Information Center, dicembre 1990. http://dx.doi.org/10.21236/ada234584.

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8

McLean, Charles, e Y. Tina Lee. Modeling and simulation for emergency management and health care systems :. Gaithersburg, MD: National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.ir.7684.

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9

Jennings, Bonnie M. Patient Care Outcomes: Implications for the Military Health Services Systems. Fort Belvoir, VA: Defense Technical Information Center, maggio 1991. http://dx.doi.org/10.21236/ada235932.

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10

Nell, James G. The nature of heterogeneity in the context of distributed health-care information systems. Gaithersburg, MD: National Institute of Standards and Technology, 2003. http://dx.doi.org/10.6028/nist.ir.7011.

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