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Relevant bibliographies by topics / Systems of health information

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Academic literature on the topic 'Systems of health information'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Systems of health information"

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Wiese, William H. "Public Health Informatics and Information Systems." American Journal of Preventive Medicine 25, no. 1 (2003): 78. http://dx.doi.org/10.1016/s0749-3797(03)00088-6.

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Sirintrapun, S. Joseph, and David R. Artz. "Health Information Systems." Surgical Pathology Clinics 8, no. 2 (2015): 255–68. http://dx.doi.org/10.1016/j.path.2015.02.014.

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de Assis Moura, L. "Health Information Systems." Yearbook of Medical Informatics 12, no. 01 (2003): 389–90. http://dx.doi.org/10.1055/s-0038-1638153.

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Winter, A. "Health Information Systems." Yearbook of Medical Informatics 13, no. 01 (2004): 359–60. http://dx.doi.org/10.1055/s-0038-1638199.

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Aguilera, E. J. "Health Information Systems." Yearbook of Medical Informatics 14, no. 01 (2005): 333–35. http://dx.doi.org/10.1055/s-0038-1638236.

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Bréant, C. "Health Information Systems." Yearbook of Medical Informatics 19, no. 01 (2010): 30–33. http://dx.doi.org/10.1055/s-0038-1638685.

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Summary Objectives: Summarize excellent current research in the field of Health Information Systems. Method: Synopsis of the articles selected for the IMIA Yearbook 2010. Results: Five papers from international peer reviewed journals have been selected for the section on health information systems. Conclusions: The elected articles illustrate how health care IT alignment, assessment and benchmarking have become a challenge and a key aspect to the strengthening of health information systems in order to maintain and expand the objectives and strategies of organizations.

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Cuggia, M., and L. Toubiana. "Health Information Systems." Yearbook of Medical Informatics 22, no. 01 (2013): 114–16. http://dx.doi.org/10.1055/s-0038-1638841.

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Summary Objectives: Summarize excellent current research in the field of Health Information Systems. Method: Synopsis of the articles selected for the IMIA Yearbook 2013. Results: Five papers from international peer reviewed journals have been selected for the section on health information systems. Conclusions: The selected articles illustrate current research regarding health information technology (IT) impacts and evaluation and the latest developments in health information exchange.

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Bréant, C. "Health Information Systems." Yearbook of Medical Informatics 21, no. 01 (2012): 79–82. http://dx.doi.org/10.1055/s-0038-1639435.

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SummarySummarize excellent current research in the field of Health Information Systems.Synopsis of the articles selected for the IMIA Yearbook 2012.Three papers from international peer reviewed journals have been selected for the section on health information systems.The selected articles illustrate current research regarding health IT impacts and evaluation and the latest developments in health information exchange.

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Sirintrapun, S. Joseph, and David R. Artz. "Health Information Systems." Clinics in Laboratory Medicine 36, no. 1 (2016): 133–52. http://dx.doi.org/10.1016/j.cll.2015.09.012.

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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 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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Dissertations / Theses on the topic "Systems of health information"

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Eivazzadeh, Shahryar. "Health Information Systems Evaluation." Licentiate thesis, Karlskrona, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10910.

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Background Health information systems have emerged as a major component in our response to the trends of rising demands in health care. The insight being gained from the evaluation of those systems can critically influence the shaping of the response. Summative or formative evaluation of health information systems assesses their quality, acceptance, and usefulness, creates insight for improvement, discriminates between options, and refines future development strategies. But the evaluation of health information systems can be challenging due to the propagation of their impacts through multiple socio-technological layers till the ultimate recipients, their heterogeneity and fast evolvement, and the complexity of health care settings and systems. Aim This thesis tries to explain the challenges of evaluation of health information systems with a narrow down on determining evaluation aspects and to propose relevant solutions. The thesis goes for solutions that mitigate heterogeneity and incomparability, recruit or extend available evaluation models, embrace a wide context of application, and promote automation. Method The literature on health information systems evaluation, methods of dealing with heterogeneity in other disciplines of information systems, and ontology engineering were surveyed. Based on the literature survey, the UVON method, based on ontology engineering, was first developed in study 1. The method was applied in FI-STAR, a European Union project in e-Health with 7 use-cases, for summative evaluation of the individual and whole e-health applications. Study 2, extended the UVON method for a formative evaluation during the design phase. Results Application of the UVON method resulted in evaluation aspects that were delivered to the seven use-cases of the FI-STAR project in the form of questionnaires. The resulted evaluation aspects were considered sensible and with a confirming overlap with another highly used method in this field (MAST). No significant negative feedback from the FI-STAR use-case owners (n=7) or the respondents (n=87 patients and n=30 health professionals) was received or observed. Conclusion In the evaluation of health information systems --possibly also in other similarly characterized systems-- ontology engineering methods, such as the proposed UVON method, can be applied to create a flexible degree of unification across a heterogeneous set of evaluation aspects, import evaluation aspects from other evaluation methods, and prioritize between quality aspects in design phase. Ontologies, through their semantic network structures, can capture the extracted knowledge required for evaluation, facilitate computation of that knowledge, promote automation of evaluation, and accommodate further extensions of the related evaluation methods by adding new features to their network structure.

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Rahimi, Bahol. "Implementation of Health Information Systems." Licentiate thesis, Linköping University, Linköping University, MDA - Human Computer Interfaces, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15677.

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<p>Healthcare organizations now consider increased efficiency, reduced costs, improved patient care and quality of services, and safety when they are planning to implement new information and communication technology (ICT) based applications. However, in spite of enormous investment in health information systems (HIS), no convincing evidence of the overall benefits of HISs yet exists. The publishing of studies that capture the effects of the implementation and use of ICT-based applications in healthcare may contribute to the emergence of an evidence-based health informatics which can be used as a platform for decisions made by policy makers, executives, and clinicians. Health informatics needs further studies identifying the factors affecting successful HIS implementation and capturing the effects of HIS implementation. The purpose of the work presented in this thesis is to increase the available knowledge about the impact of the implementation and use of HISs in healthcare organizations. All the studies included in this thesis used qualitative research methods. A case study design and literature review were performed to collect data.</p><p>This thesis’s results highlight an increasing need to share knowledge, find methods to evaluate the impact of investments, and formulate indicators for success. It makes suggestions for developing or extending evaluation methods that can be applied to this area with a multi-actor perspective in order to understand the effects, consequences, and prerequisites that have to be achieved for the successful implementation and use of IT in healthcare. The results also propose that HIS, particularly integrated computer-based patient records (ICPR), be introduced to fulfill a high number of organizational, individualbased, and socio-technical goals at different levels. It is therefore necessary to link the goals that HIS systems are to fulfill in relation to short-term, middle-term, and long-term strategic goals. Another suggestion is that implementers and vendors should direct more attention to what has been published in the area to avoid future failures.</p><p>This thesis’s findings outline an updated structure for implementation planning. When implementing HISs in hospital and primary-care environments, this thesis suggests that such strategic actions as management involvement and resource allocation, such tactical action as integrating HIS with healthcare workflow, and such operational actions as user involvement, establishing compatibility between software and hardware, and education and training should be taken into consideration.</p>

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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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Lin, Yu-Kai. "Health Analytics and Predictive Modeling: Four Essays on Health Informatics." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/555987.

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There is a marked trend of using information technologies to improve healthcare. Among all the health IT, electronic health record (EHR) systems hold great promises as they modernize the paradigm and practice of care provision. However, empirical studies in the literature found mixed evidence on whether EHRs improve quality of care. I posit two explanations for the mixed evidence. First, most prior studies failed to account for system use and only focused on EHR purchase or adoption. Second, most existing EHR systems provide inadequate clinical decision support and hence, fail to reveal the full potential of digital health. In this dissertation I address two broad research questions: a) Does meaningful use of EHRs improve quality of care? and b) How do we advance clinical decision making through innovative computational techniques of healthcare analytics? To these ends, the dissertation comprises four essays. The first essay examines whether meaningful use of EHRs improve quality of care through a natural experiment. I found that meaningful use significantly improve quality of care, and this effect is greater in historically disadvantaged hospitals such as small, non-teaching, or rural hospitals. These empirical findings present salient practical and policy implications about the role of health IT. On the other hand, in the other three essays I work with real-world EHR data sets and propose healthcare analytics frameworks and methods to better utilize clinical text (Essay II), integrate clinical guidelines and EHR data for risk prediction (Essay III), and develop a principled approach for multifaceted risk profiling (Essay IV). Models, frameworks, and design principles proposed in these essays advance not only health IT research, but also more broadly contribute to business analytics, design science, and predictive modeling research.

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Ebenezer, Catherine. "Health informatics on the Web." Free Pint Ltd, 2002. http://hdl.handle.net/10150/106500.

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Almalohi, Mussaad. "Implementing Health Information Exchange System: Saudi Arabia." Digital Commons at Loyola Marymount University and Loyola Law School, 2015. https://digitalcommons.lmu.edu/etd/350.

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In Saudi Arabia, medical errors are at an alarming level. Lack of a Health Information Exchange (HIE) system is one the greatest reasons for medical errors in the Kingdom. Health care in many countries has evolved with the invention of electronic health information exchange system, henceforth HIE. This research paper purposes to implement HIE in Saudi Arabia, which entirely does not have a system of the sort. It is imperative instill HIE in the health care system in Saudi to allow physicians, nurses, health care facilities as well as patients to electronically share medical information in a safe and secure manner. Many countries such as United States, New Zealand and Germany have had great success with the HIE system and have reported vast benefits. Benefits of HIE are such as reduction of health care cost as well as decreasing medical errors. For Saudi Arabia to reach the same heights, many stakeholders will be involved in the triumph of the HIE system in the Kingdom of Saudi Arabia. The biggest contributor will be the Ministry of Health, which will be in charge of implementing as well as making the system mandatory in the main four hospitals in the country: Shomasy, Kind Saud University Hospital, Ministry of interior Hospital and Ministry of Defense Hospital. Each hospital having their own current medical information recording system, will now have one universal system that is made sure to be secure and safe for patients as well as other participating organizations who have access to the HIE system. The main concentration of the HIE system in Saudi Arabia will be in the emergency care of these four hospitals. It is crucial to have an organized and controlled way of recording as well as accessing patient medical records electronically, in a fast and effective way. This paper proposes that an HIE system in Saudi Arabia will reduce the cost of medical care and decrease medical errors. Through the use of Lean thinking and the use of quality tools, the HIE system will be able to change and increase the reliably as well as effectiveness of Urgent Care in the country and therefore have consequent benefits as well. Also, understanding who is going to play a great role in the triumph of the HIE system, such as the Ministry of Health and knowing what stakeholders will need to be affiliated and contribute will lead the project to a better success.

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Atalag, Koray. "Archetype Based Domain Modeling For Health Information Systems." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608671/index.pdf.

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A major problem to be solved in health informatics is high quality, structured and timely data collection. Standard terminologies and uniform domain conceptual models are important steps to alleviate this problem which are also proposed to enable interoperability among systems. With the aim of contributing to the solution of this problem, this study proposes novel features for the Archetypes and multi-level modeling technique in health information and knowledge modeling. The study consists of the development of a research prototype for endoscopic data management, and based on that experience, the extension of Minimal Standard Terminology in Digestive Endoscopy (MST). A major contribution of the study consists of significant extensions to the modeling formalism. The proposed modeling approach may be used in the design and development of health information systems based on archetypes for structured data collection, validation and dynamic user interface creation. The thesis work is aimed to make considerable contribution to the emerging Electronic Health Records (EHR) standards and specifications.

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Catchpole, C. P. "Information systems design for the community health services." Thesis, Aston University, 1987. http://publications.aston.ac.uk/10620/.

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This system is concerned with the design and implementation of a community health information system which fulfils some of the local needs of fourteen nursing and para-medical professions in a district health authority, whilst satisfying the statutory requirements of the NHS Korner steering group for those professions. A national survey of community health computer applications, documented in the form of an applications register, shows the need for such a system. A series of general requirements for an informations systems design methodology are identified, together with specific requirements for this problem situation. A number of existing methodologies are reviewed, but none of these were appropriate for this application. Some existing approaches, tools and techniques are used to define a more suitable methodology. It is unreasonable to rely on one single general methodology for all types of application development. There is a need for pragmatism, adaptation and flexibility. In this research, participation in the development stages by those who will eventually use the system was thought desirable. This was achieved by forming a representative design group. Results would seem to show a highly favourable response from users to this participation which contributed to the overall success of the system implemented. A prototype was developed for the chiropody and school nursing staff groups of Darlington health authority, and evaluations show that a significant number of the problems and objectives of those groups have been successfully addressed; the value of community health information has been increased; and information has been successfully fed back to staff and better utilised.

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Mycroft, Matthew. "An Information System for Health Care Quality Measures." Digital Commons at Loyola Marymount University and Loyola Law School, 2016. https://digitalcommons.lmu.edu/etd/426.

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The Patient Protection and Affordable Care Act (PPACA) is slowly transforming the U.S. Health Care System from a fee-for-service structure, which reimburses providers based on the quantity of patient encounters, to a new structure that emphasizes the value of care. Since value can be interpreted differently among various stakeholders, quality measures have been established by government and nonprofit sources. These quality measures serve as agreed-upon criteria by which to measure the achievement of value in health care. While these measures help to improve the quality of health care, they can also be burdensome to physicians and health care organizations. Implementation of quality measurement programs requires the involvement of highly intelligent people who think about what to measure, what to focus on, and how to accomplish outcomes. Thus, the process of selecting measures and compiling recommendations (reports) can be time consuming, complicated, and expensive. Applying SELP coursework fundamentals, key process activities outlined by INCOSE, and the DoD Architectural Framework, a quality measure information system was developed. The primary business objective (top level requirement) of the project was to reduce the cost and improve the quality of the measure selection and report generation processes. First, fundamental systems engineering principles were applied to understand the problem, conduct a lean analysis, identify stakeholders' needs, and derive a set of requirements to meet the primary business objective. Subsequently, five alternative solutions were evaluated to identify a preferred solution that could best meet the primary business objective while minimizing risk. The DoD Architectural Framework and course material from Integration of Hybrid Hardware and Software Systems (SELP 560) was then applied to develop, represent, and understand the information system architecture. Finally, leveraging Management Information Systems Coursework (MBAA 609), a system prototype was created utilizing Microsoft Access. The system prototype demonstrated a capability to reduce the cost and improve the quality of the health care quality measure selection and report generation processes. Utilizing pre-selected associations between various quality measures and categories of care, comprehensive quality measure reports can be generated in a matter of seconds for many categories of medical care. These comprehensive reports serve to educate users about various quality measures and to aid administrators in the development of comprehensive quality measurement programs. In one particular example, health care organizations will utilize the generated quality measure reports for the purpose of redesigning compensation and incentive pay for physicians and health care executives. In this particular example, estimates show that the system prototype is expected to reduce the labor associated with measure research and selection by approximately 49%, resulting in thousands of dollars of estimated savings. Additionally, the system will automate complicated measure search processes, which will increase the quality and consistency of the reported data.

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Lüthi, Martin. "Information system security in health information systems : exploratory research in US and Swiss acute-care hospitals /." Lohmar ; Köln : Eul, 2008. http://d-nb.info/989019667/04.

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Books on the topic "Systems of health information"

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Stavert-Dobson, Adrian. Health Information Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26612-1.

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Winter, Alfred, Reinhold Haux, Elske Ammenwerth, Birgit Brigl, Nils Hellrung, and Franziska Jahn. Health Information Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-441-8.

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Magnuson, J. A., and Brian E. Dixon, eds. Public Health Informatics and Information Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9.

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Magnuson, J. A., and Paul C. Fu,, eds. Public Health Informatics and Information Systems. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-4237-9.

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O’Carroll, Patrick W., Laura H. Ripp, William A. Yasnoff, M. Elizabeth Ward, and Ernest L. Martin, eds. Public Health Informatics and Information Systems. Springer New York, 2003. http://dx.doi.org/10.1007/b98877.

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Orthner, Helmuth F., and Bruce I. Blum, eds. Implementing Health Care Information Systems. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3488-3.

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

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Church, M. Health information systems in Malawi. The Unit, 1999.

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Wager, Karen A. ManagingHealth Care Information Systems. John Wiley & Sons, Ltd., 2005.

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Health informatics: A systems perspective. Health Administration Press, 2012.

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Book chapters on the topic "Systems of health information"

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Erickson, Bradley James, Ronald L. Arenson, and Robert A. Greenes. "Imaging Information Systems." In Health Informatics. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6732-7_15.

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Harsanyi, Bennie E., David H. Wilson, Marguerite A. Daniels, Kathleen C. Allan, and John Anderson. "Healthcare Information Systems." In Health Informatics. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2428-8_19.

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Hanchette, Carol, and J. A. Magnuson. "Geographic Information Systems." In Health Informatics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41215-9_19.

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Hanchette, Carol L. "Geographic Information Systems." In Health Informatics. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4237-9_21.

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Hanchette, Carol L. "Geographic Information Systems." In Health Informatics. Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22745-8_21.

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Harsanyi, Bennie E., Kathleen C. Allan, John Anderson, et al. "Healthcare Information Systems." In Health Informatics. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3252-8_20.

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Winter, Alfred, Reinhold Haux, Elske Ammenwerth, Birgit Brigl, Nils Hellrung, and Franziska Jahn. "Health Information Systems." In Health Information Systems. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-441-8_4.

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Laverack, Glenn. "Health Information Systems." In A–Z of Public Health. Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-42617-8_31.

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Rechel, Bernd, Nicole Rosenkoetter, Marieke Verschuuren, and Hans van Oers. "Health Information Systems." In Population Health Monitoring. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76562-4_2.

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Collen, Morris F., and Stuart J. Nelson. "Pharmacy Information (PHARM) Systems." In Health Informatics. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6732-7_14.

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Conference papers on the topic "Systems of health information"

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Masero, Valentin. "Health care information systems." In the 2005 ACM symposium. ACM Press, 2005. http://dx.doi.org/10.1145/1066677.1066731.

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Cho, Hoyoun, Hongsuk Yoon, Ki Joon Kim, and Dong-Hee Shin. "Wearable Health Information." In CHI '15: CHI Conference on Human Factors in Computing Systems. ACM, 2015. http://dx.doi.org/10.1145/2702613.2732774.

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"Healthcare information systems and informatics [advertisement]." In 2017 International Rural and Elderly Health Informatics Conference (IREHI). IEEE, 2017. http://dx.doi.org/10.1109/ireehi.2017.8350472.

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Kyriacou, E., P. Constantinides, C. S. Pattichis, M. S. Pattichis, and A. Panayides. "eEmergency health care information systems." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090693.

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Ciampi, Mario, Giuseppe De Pietro, Christian Esposito, Mario Sicuranza, and Paolo Donzelli. "On federating Health Information Systems." In 2012 International Conference on Green and Ubiquitous Technology (GUT). IEEE, 2012. http://dx.doi.org/10.1109/gut.2012.6344168.

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Monteiro, José, João Madeiro, Angelo Brayner, and Narciso Arruda. "MobileECG: An Ubiquitous Heart Health Guardian." In 21st International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007703705790586.

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"Session details: Theme: Information systems: HI - Health informatics track." In the 34th ACM/SIGAPP Symposium, edited by Anu Mary Chacko and Gopakumar G. ACM Press, 2019. http://dx.doi.org/10.1145/3297280.3329371.

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"Session details: Theme: Information systems: HI - Health informatics track." In SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing, edited by Anu Mary Chacko and Gopakumar G. ACM, 2019. http://dx.doi.org/10.1145/3329371.

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Chacko, Anu Mary, and Gopakumar G. "Session details: Theme: Information systems: HI - Health informatics track." In SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. ACM, 2020. http://dx.doi.org/10.1145/3389655.

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Chacko, Anu Mary, and Gopakumar G. "Session details: Theme: Information systems: HI - Health informatics track." In SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing. ACM, 2021. http://dx.doi.org/10.1145/3462415.

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Reports on the topic "Systems of health information"

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Hendrickson, David A., and Gregory W. Bayer. Environment, safety, and health information technology systems integration. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/877731.

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

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Roback, Edward. U.S. Department of Health and Human Services' automated information systems security program handbook. National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4636.

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Ibrahim, Mahad, Benjamin Bellows, and Jaspal Sandhu. Defining effective voucher management information systems: A blueprint for information systems to support scalable reproductive health voucher programs, based on system evaluations with programs in Bangladesh, Cambodia, Kenya, Uganda, and Tanzania. Population Council, 2012. http://dx.doi.org/10.31899/rh4.1230.

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Bellerby, Linda. Patterns of information system growth in community mental health centers. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.223.

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Fiddleman, Richard H., and Kathlynn D. Miller. Navy Occupational Health Information Management System (NOHIMS). Hazardous Materials Control Module. Users' Manual. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada198170.

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Tropeano, Anne M., and William M. Pugh. Review of the Naval Health Research Center's Development of Medical Information Systems for Far-Forward Echelons of Care: 1983-1997. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada381330.

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Droppo, J. G. Jr, J. W. Buck, D. L. Strenge, and M. R. Siegel. Analysis of health impact inputs to the US Department of Energy's risk information system. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6517304.

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Mahmood, Arshad, and Syeda Naz. Assessment of management information system [MIS] of national program for family planning and primary health care [LHW Program]. Population Council, 2012. http://dx.doi.org/10.31899/rh2.1028.

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Dunbar, J. B. Cancer and birth defects surveillance system for communities around the Savannah River Site. Savannah River Region Health Information System (SRRHIS): Annual progress report. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10152716.

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