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Journal articles on the topic 'Health care information management'

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Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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1

Gill, Harsheen, Mandeep Kaur, Sartaj Singh Sandhu, and Angad Singh Sandhu. "Health informatics and health information management: future trends for information technology in health sciences." Journal of Community Health Management 9, no. 2 (July 15, 2022): 84–88. http://dx.doi.org/10.18231/j.jchm.2022.017.

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Healthcare is at an important crossroads in that current models of care are increasingly seen by politicians and policymakers as unsustainable. Furthermore, there is a need to move away from the reactive, doctor-centred model of care to one that is more patient-centred and that consistently delivers accessible, high-quality and safe care to all. Greater use of health information technology (HIT) is seen by many key decision makers as crucial to this transformation process and, hence, substantial investments are made in this area. However, healthcare, particularly in hospitals, remains a laggard in health information technology (HIT) adoption. To uncover the underlying reasons, we discuss current implementation and adoption challenges and explore potential ways to address these. We outline strategic, organisational, technical and social factors that can ‘make or break’ technological implementations. Most importantly, we suggest that efforts should be characterised by an underlying awareness of the complexity of the hospital environment and the need to develop tools that support provision of integrated multidisciplinary care. We conclude with a discussion of promising future developments, including increased patient involvement; access and contribution to shared records; the penetration of smart devices; greater health information exchange and interoperability; and innovative real-time secondary uses of data.

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2

Gibson, C. J., K. Abrams, and B. E. Dixon. "Convergent evolution of health information management and health informatics." Applied Clinical Informatics 06, no. 01 (2015): 163–84. http://dx.doi.org/10.4338/aci-2014-09-ra-0077.

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SummaryClearly defined boundaries are disappearing among the activities, sources, and uses of health care data and information managed by health information management (HIM) and health informatics (HI) professionals. Definitions of the professional domains and scopes of practice for HIM and HI are converging with the proliferation of information and communication technologies in health care settings. Convergence is changing both the roles that HIM and HI professionals serve in their organizations as well as the competencies necessary for training future professionals. Many of these changes suggest a blurring of roles and responsibilities with increasingly overlapping curricula, job descriptions, and research agendas. Blurred lines in a highly competitive market create confusion for students and employers.In this essay, we provide some perspective on the changing landscape and suggest a course for the future. First we review the evolving definitions of HIM and HI. We next compare the current domains and competencies, review the characteristics as well as the education and credentialing of both disciplines, and examine areas of convergence. Given the current state, we suggest a path forward to strengthen the contributions HIM and HI professionals and educators make to the evolving health care environment.Citation: Gibson CJ, Dixon BE, Abrams K. Convergent evolution of health information management and health informatics – a perspective on the future of information professionals in health care. Appl Clin Inf 2015; 6: 163–184http://dx.doi.org/10.4338/ACI-2014-09-RA-0077

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3

Yli-Hietanen, J. "Towards Open Information Management in Health Care." Open Medical Informatics Journal 2, no. 1 (February 13, 2008): 42–48. http://dx.doi.org/10.2174/1874431100802010042.

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4

Sneider, Richard. "Management Guide to Health Care Information Systems." Journal For Healthcare Quality 10, no. 3 (August 1988): 21. http://dx.doi.org/10.1111/j.1945-1474.1988.tb00334.x.

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5

Steinwachs, Donald M. "Ambulatory care management information systems." Journal of Ambulatory Care Management 8, no. 2 (May 1985): 84. http://dx.doi.org/10.1097/00004479-198505000-00008.

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6

Lappas, E. "Information management in community health and primary care." Health Information and Libraries Journal 19, no. 4 (December 2002): 236–38. http://dx.doi.org/10.1046/j.1471-1842.2002.00405.x.

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7

Ruffin, T. Ray. "Health Information Technology and Quality Management." International Journal of Information Communication Technologies and Human Development 8, no. 4 (October 2016): 56–72. http://dx.doi.org/10.4018/ijicthd.2016100105.

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Even in healthcare and health information technology change will not vanish or disperse. Technology, civilization, and creative thought will drive this force increasingly forward. Health care managers will continue being judged on their ability to efficiently and effectively manage (Patton & James, 2000). The arena of Health Services Research (HSR) is trusted on by judgment deciders and the public is the principal basis of data on how thriving health systems are meeting this task (Steinwachs & Hughes, 2008). The goal of HSR is to deliver material that will ultimately lead to advances in the health of the community. HSR evaluation of quality of care has demonstrated it is an unspecified science and multifaceted, even though its description is comparatively simple (Steinwachs & Hughes, 2008). This article is to investigate the background, controversies, and problems surrounding Health Information Technology (HIT) Change and Quality Management including an overview of current changes and benefits of implementation. This will be coupled with solutions and recommendations, further research, and conclusion. This will enhance the field of research in leadership, change management, quality management, and health care.

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8

Wilson, Ronald G. "Strengthening Primary Health Care programme management through informatics and improved management information systems." Information Technology for Development 4, no. 4 (December 1989): 703–32. http://dx.doi.org/10.1080/02681102.1989.9627173.

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9

Doolin, Bill. "Sociotechnical networks and information management in health care." Accounting, Management and Information Technologies 9, no. 2 (April 1999): 95–114. http://dx.doi.org/10.1016/s0959-8022(99)00005-3.

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10

Rosenberger, Herbert R., and Kate M. Kaiser. "Strategic planning for health care management information systems." Health Care Management Review 10, no. 1 (January 1985): 7–18. http://dx.doi.org/10.1097/00004010-198501010-00002.

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11

Hellesø, Ragnhild, Lena Sorensen, and Margarethe Lorensen. "Nurses’ information management across complex health care organizations." International Journal of Medical Informatics 74, no. 11-12 (December 2005): 960–72. http://dx.doi.org/10.1016/j.ijmedinf.2005.07.010.

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12

Tan, Joseph K. H., and John Hanna. "Integrating health care with information technology." Health Care Management Review 19, no. 2 (1994): 72–80. http://dx.doi.org/10.1097/00004010-199421000-00008.

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13

Calciolari, Stefano, and Luca Buccoliero. "Information integration in health care organizations." Health Care Management Review 35, no. 3 (July 2010): 266–75. http://dx.doi.org/10.1097/hmr.0b013e3181d5b109.

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14

Taylor, Mary K., Meseret D. Gebremichael, and Catherine E. Wagner. "Mapping the literature of health care management." Journal of the Medical Library Association 95, no. 2 (April 2007): e58-e65. http://dx.doi.org/10.3163/1588-9439.95.2.e58.

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15

KHURSHEED, JWAN F., and AHMED H. ALI. "Evaluation of Management Information Systems in Health Organizations Case Study (Kirkuk Health Directorate)." Journal of Research on the Lepidoptera 51, no. 1 (January 20, 2020): 30–47. http://dx.doi.org/10.36872/lepi/v51i1/301004.

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16

Ammenwerth, E., A. Häber, G. Hübner-Bloder, P. Knaup-Gregori, G. Lechleitner, F. Leiner, R. Weber, A. Winter, A. C. Wolff, and R. Haux. "Medical Informatics Education Needs Information System Practicums in Health Care Settings." Methods of Information in Medicine 45, no. 03 (2006): 294–99. http://dx.doi.org/10.1055/s-0038-1634073.

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Summary Objectives: To report about the themes and about experiences with practicums in the management of information systems in health care settings (health information management) for medical informatics students. Methods: We first summarize the topics of the health information management practicums/projects that the authors organized between 1990 and 2003 for the medical informatics programs at Heidelberg/ Heilbronn, Germany, UMIT, Austria, as well as for the informatics program at the University of Leipzig, Germany. Experiences and lessons learned, obtained from the faculty that organized the practicums in the past 14 years, are reported. Results: Thirty (of 32) health information management practicums focused on the analysis of health information systems. These took place inside university medical centers. Although the practicums were time-intensive and required intensively tutoring students with regard to health information management and project management, feedback from the students and graduates was mainly positive. Discussion: It is clearly recommended that students specializing in medical informatics need to be confronted with real-world problems of health information systems during their studies.

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17

Leggat, Sandra G. "Information management: the limitations of ROI." Australian Health Review 31, no. 4 (2007): 488. http://dx.doi.org/10.1071/ah070488.

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THE REVIEW OF the 60-year history of the Australian Healthcare and Hospitals Association highlights the important role of information and information management in enhancing the Australian health care system. In 1990 Peter Read, the National Director of the (then) Australian Hospital Association, suggested that the health system would soon have hospitals where there are proper information systems which allow managers to identify problem areas by intra and inter hospital comparisons; hospitals where managers know how much treatment does cost and more importantly how much it should cost; and hospitals where the incentives encourage efficient high quality care and where payment received has some relevance to the cost of treatment given.1 But 2007 is almost over and, as outlined by Jared Dart our n=1 author (page 510), we are still waiting! Government funders and health service organisations typically view information as a cost to be managed and not as an asset in which to invest. While investment in health care information management and technology cannot often be justified on economic or financial terms (that is, the financial return on investment [ROI]), a broader perspective that included the positive impact on the quality of care, the improvement in patient safety and patient satisfaction, and the reduction in social costs would favourably tip the investment scale. A paradigm shift is required to balance an overriding concern with return on investment with return to care. This issue focuses on work that is being completed on information foundations (pages 523, 531, 540 and 546), exploitation of technology (page 527) and the use of information to improve care. I would like to draw your attention to the paper by Watson, Rayner, and Lumley from Mother and Child Health Research that outlines their experience in obtaining ethics approval for a study of preterm birth (page 514). This paper provides an example of the information inefficiencies that we have created and perpetuate in our health care system. Don?t miss this issue?s Models of Care paper by Francis and colleagues (page 499) and the concept of health in older age (page 642).

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18

Rotarius, Timothy, and Velmarie Rotarius. "Information Delivery in Health Care." Health Care Manager 36, no. 2 (2017): 192–98. http://dx.doi.org/10.1097/hcm.0000000000000155.

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19

Stefanelli, M. "Knowledge Management In Health Care Organizations." Yearbook of Medical Informatics 13, no. 01 (August 2004): 144–55. http://dx.doi.org/10.1055/s-0038-1638198.

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Abstract:This review article analyzes theories, methods, and technologies that can be effective in building a socio-technical environment within a health care organization that is able to facilitate the collaboration between individuals in the management of patient care and in expanding scientific and professional knowledge. The article is organized as follows. In section 2, I discuss the nature of knowledge in general and with a particular attention to medical knowledge. The future of health information systems (HIS) is discussed in section 3, which provides also an overview of theories for designing and developing such systems. Section 4 describes different types of collaboration, and reviews the methods and information and communication technologies (ICT), which can be exploited for knowledge creation and interaction management. The potential of workflow management technology for building innovative components within HIS is analyzed in section 5. Finally, section 6 presents the conclusions.

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20

Hannah, K. J. "Transforming Information: Data Management Support of Health Care Reorganization." Journal of the American Medical Informatics Association 2, no. 3 (May 1, 1995): 147–55. http://dx.doi.org/10.1136/jamia.1995.95338867.

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21

Curry, Adrienne, and Gail Knowles. "Strategic information management in health care - myth or reality?" Health Services Management Research 18, no. 1 (February 1, 2005): 53–62. http://dx.doi.org/10.1258/0951484053051942.

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This paper uses data gathered from a case NHS Trust in Scotland to demonstrate progress in terms of operational and strategic information management and to highlight some of the problems currently experienced in the health-care environment in striving to comply with governmental policies relating to information sharing. Progress has certainly been made and there is recognition of the potential to be achieved from more efficient and effective information management in health care. Problems exist, however, and there is still a considerable gap to be filled between the policy objectives and what is actually achievable in reality on a day-to-day basis. Data have been gathered from a hospital and a health centre to illustrate information flow between two of the Trust entities and a benchmark has been provided, showing that best practice can be achieved and how it can be achieved.

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22

Chapman, Judy Jean. "INFORMATION ON SPOUSES OF HEALTH CARE LEADERS." Health Care Management Review 11, no. 3 (1986): 7. http://dx.doi.org/10.1097/00004010-198601130-00002.

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23

Minard, Bernie. "Experience using the CQI model in health care management." Journal of Medical Systems 15, no. 4 (August 1991): 287–97. http://dx.doi.org/10.1007/bf00999166.

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24

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

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25

Harber, B. W., and SA Miller. "Program Management and Health Care Informatics: Defining Relationships." Healthcare Management Forum 7, no. 4 (December 1994): 28–35. http://dx.doi.org/10.1016/s0840-4704(10)61075-7.

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The program management (PM) structure is a relatively well-known organizational model for hospitals. A variation of the matrix structure, it allows for an interdisciplinary team of health care providers to facilitate patient care delivery. However, providing such focused care results in a complex, highly information-dependent operational environment. To meet the information needs of such an environment, careful planning in selecting and implementing technology is required. Along with supporting patient care, the technology will also help in managing costs, human resources, quality and utilization, as well as in monitoring performance and outcomes measurement. Focusing specifically on the information technology environment, this article addresses health care in formatics (the diverse categories of information and systems) needed to support clinical program managers, executives and others in a PM organization. Examples from both a university-affiliated and a community-based program managed hospital illustrate their approach to PM and information technology.

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26

Malliarou, Maria. "Compassionate Health Care." Healthcare 11, no. 1 (December 30, 2022): 109. http://dx.doi.org/10.3390/healthcare11010109.

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27

Burnham, Judy F. "Information Management Education for Students in the Health Care Professions." Medical Reference Services Quarterly 13, no. 2 (June 3, 1994): 45–62. http://dx.doi.org/10.1300/j115v13n02_04.

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28

Ongenae, Femke, Thomas Vanhove, Femke De Backere, and Filip De Turck. "Intelligent task management platform for health care workers." Informatics for Health and Social Care 42, no. 2 (February 18, 2016): 122–34. http://dx.doi.org/10.3109/17538157.2015.1113178.

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29

Hindle, A., and Gunter Fandel. "Management Problems in Health Care." Journal of the Operational Research Society 41, no. 7 (July 1990): 646. http://dx.doi.org/10.2307/2583444.

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30

Hindle, A. "Management Problems in Health Care." Journal of the Operational Research Society 41, no. 7 (July 1990): 646–47. http://dx.doi.org/10.1057/jors.1990.91.

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31

Wald, J. S., and D. Z. Sands. "Transforming Health Care Delivery Through Consumer Engagement, Health Data Transparency, and Patient-Generated Health Information." Yearbook of Medical Informatics 23, no. 01 (August 2014): 170–76. http://dx.doi.org/10.15265/iy-2014-0017.

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Summary Objective: Address current topics in consumer health informatics. Methods: Literature review. Results: Current health care delivery systems need to be more effective in the management of chronic conditions as the population turns older and experiences escalating chronic illness that threatens to consume more health care resources than countries can afford. Most health care systems are positioned poorly to accommodate this. Meanwhile, the availability of ever more powerful and cheaper information and communication technology, both for professionals and consumers, has raised the capacity to gather and process information, communicate more effectively, and monitor the quality of care processes. Conclusion: Adapting health care systems to serve current and future needs requires new streams of data to enable better self-management, improve shared decision making, and provide more virtual care. Changes in reimbursement for health care services, increased adoption of relevant technologies, patient engagement, and calls for data transparency raise the importance of patient-generated health information, remote monitoring, non-visit based care, and other innovative care approaches that foster more frequent contact with patients and better management of chronic conditions.

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32

Tan, Joseph K. H., and John Hanna. "Integrating health care with information technology: Knitting patient information through networking." Health Care Management Review 19, no. 2 (1994): 72–80. http://dx.doi.org/10.1097/00004010-199401920-00008.

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33

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

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34

Mooney, Gavin. "Health Information Management in the Australian Health Care System as a Whole." Health Information Management 31, no. 2 (June 2003): 9–11. http://dx.doi.org/10.1177/183335830303100206.

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35

Keller, Sharon A. "Finding Information on Health Care Management: The Health Planning and Administration Database." Reference Services Review 14, no. 1 (January 1986): 85–86. http://dx.doi.org/10.1108/eb048930.

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36

Reinhardt, Uwe E. "RX FOR HEALTH CARE:." Journal of Business Strategy 16, no. 6 (June 1995): 31–33. http://dx.doi.org/10.1108/eb039741.

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37

BAZAVAN, M., and R. DIMITRIU. "Medical informatics training programme to support the Romanian health care management information system." International Journal of Medical Informatics 50, no. 1-3 (June 1998): 145–50. http://dx.doi.org/10.1016/s1386-5056(98)00061-6.

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38

Nair, Deepa P. "The Scope and Functions of Health Information Management in e-Health." ECS Transactions 107, no. 1 (April 24, 2022): 9939–55. http://dx.doi.org/10.1149/10701.9939ecst.

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e-Health adoption in health care leads to a clinical transformation, affecting the scope of health data, work processes, roles, interactions, and above all, the culture of the global health system as a whole. Advancements in the application of health information technology (HIT) have certainly reformed the health care landscape and how health data are being documented, processed, and disseminated This review paper aims to explore the expanding scope and functions of health information management in e-health. The study also intends to identify the evolving functions of health information management for the meaningful use and transmission of health data in e-health environment. The study reveals the challenges of transmitting health data in the e-health systems and the areas of e-health where meticulous health information management is required.

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39

Palley, Michael A., and Sue Conger. "Health care information systems and formula-based reimbursement." Health Care Management Review 20, no. 2 (1995): 74–84. http://dx.doi.org/10.1097/00004010-199521000-00010.

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40

Tucker, Denise A. "Health care providers riding the information superhighway." Home Care Provider 3, no. 5 (October 1998): 245–48. http://dx.doi.org/10.1016/s1084-628x(98)90188-5.

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41

Liaw, Winston R., John M. Westfall, Tyler S. Williamson, Yalda Jabbarpour, and Andrew Bazemore. "Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health." JMIR Medical Informatics 10, no. 3 (March 8, 2022): e27691. http://dx.doi.org/10.2196/27691.

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With conversational agents triaging symptoms, cameras aiding diagnoses, and remote sensors monitoring vital signs, the use of artificial intelligence (AI) outside of hospitals has the potential to improve health, according to a recently released report from the National Academy of Medicine. Despite this promise, the success of AI is not guaranteed, and stakeholders need to be involved with its development to ensure that the resulting tools can be easily used by clinicians, protect patient privacy, and enhance the value of the care delivered. A crucial stakeholder group missing from the conversation is primary care. As the nation’s largest delivery platform, primary care will have a powerful impact on whether AI is adopted and subsequently exacerbates health disparities. To leverage these benefits, primary care needs to serve as a medical home for AI, broaden its teams and training, and build on government initiatives and funding.

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42

Rosser, Lyle H., and Brian H. Kleiner. "Using management information systems to enhance health care quality assurance." Journal of Management in Medicine 9, no. 1 (February 1995): 27–36. http://dx.doi.org/10.1108/02689239510080458.

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43

Guo, Ruiling, Tracy J. Farnsworth, and Patrick M. Hermanson. "Information Resources for Hospital Administrator Health Care Management Decision-Making." Journal of Hospital Librarianship 15, no. 3 (July 3, 2015): 274–83. http://dx.doi.org/10.1080/15323269.2015.1049070.

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44

Stevens, Stella. "Information sharing in health care: a patient's perspective." Australian Health Review 29, no. 4 (2005): 398. http://dx.doi.org/10.1071/ah050398.

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When it comes to getting ideas for improvement, no vantage point in health care is better than the horizontal position.1 THERE ARE FEW INDUSTRY SECTORS more in need of better solutions to information sharing and knowledge management than health care. The issues surrounding information management in the health care sector are pressing and complex. This paper explores my subjective experience of information sharing as a patient within a medium-sized Australian public hospital and illustrates the potential impact on safety and quality. I am a health services researcher. My case was not urgent or complex, I am not disadvantaged or seriously ill, and the hospital?s waiting list for the procedure was short. The outcome of the surgery was good and my satisfaction high. The case is, however, extremely pertinent to the current debate around information sharing in health care.

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45

Padeken, D., D. Sotiriou, K. Boddy, and R. Gerzer. "Health care in remote areas." Journal of Medical Systems 19, no. 1 (February 1995): 69–76. http://dx.doi.org/10.1007/bf02257192.

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46

Bott, O. J. "Section 3: Health Information Systems: Health Information Systems: Between Shared Care and Body Area Networks." Yearbook of Medical Informatics 15, no. 01 (August 2006): 53–56. http://dx.doi.org/10.1055/s-0038-1638471.

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SummaryTo summarize current excellent research in the field of health information systems (HIS).Synopsis of the articles selected for the IMIA Yearbook 2006.Current research in the field of HIS is focused on supporting transinstitutional health care processes including health record systems, integration of new data types and knowledge based decision support, patient empowerment, the utilization of new technologies like wearable systems or ubiquitous computing in home and personal care, and methods and tools for the analysis, development, management, and evaluation of HIS.The best paper selection of articles on HIS comprises examples of excellent research on integration of HIS based on standards for electronic health records, methods and tools for HIS oriented change management, the use of wearable systems for telemedical surveillance of chronically ill patients, technology driven home care concepts for the elderly and physically disabled, and data privacy issues arising from the emergence of new clinical data types in the context of biomedicine. Besides successful research concerning important aspects of HIS, achieving interoperability and integration of health information subsystems and technology remains an important field of work.

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47

Carter, Helen. "Evidence-based health care: an open learning resource for health care practitioners. Second edition." Health Information & Libraries Journal 20 (June 2003): 80. http://dx.doi.org/10.1046/j.1365-2532.20.s1.14.x.

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48

Zanjani, Faika, Heather Bush, and David Oslin. "Telephone-Based Psychiatric Referral-Care Management Intervention Health Outcomes." Telemedicine and e-Health 16, no. 5 (June 2010): 543–50. http://dx.doi.org/10.1089/tmj.2009.0139.

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49

Zaiss, A., S. Schulz, and S. Hanser. "Health Care Procedures." Methods of Information in Medicine 48, no. 06 (2009): 540–45. http://dx.doi.org/10.3414/me09-01-0007.

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Summary Background: ICD is used for coding medical diagnoses across the world, but there is no globally accepted coding system for health care procedures. The need for the introduction of a common international medical procedure classification has been addressed by the Australian NCCH, which proposed the International Classification of Health Interventions (ICHI) as the basis of an international procedure classification. In parallel, the French multiaxial Classification Commune des Actes Médicaux (CCAM) has been established. Objectives: The aim is to compare ICHI to the CCAM architecture and to assess their appropriateness for supporting international comparability of procedure data and give a recommendation for the further development of international procedure classifications. Methods: The architecture of both ICHI and CCAM was thoroughly analyzed. ICHI classes were mapped to the classes of the multiaxial CCAM basic coding tables. This was done manually by domain experts, which analyzed the exact wording of each ICHI title. The result was assessed in terms of representability and granularity. Results: 78.4% of ICHI classes could be mapped directly to CCAM. The anatomical site could be represented in 99.3%. Numerous ICHI classes combined anatomical sites requiring more than one CCAM code. Problems arouse due to imprecise ICHI descriptions. Conclusions: CCAM appeared as the more elaborate and mature system whereas ICHI had some drawback regarding ambiguity and varying granularity. It is recommended to improve the structure of ICHI by the beneficial aspects of the CCAM and to avoid semantic ambiguities by applying ontological principles and logic-based representation languages.

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50

Rydman, Robert J., and Bernard H. Baum. "Using demographic data for ambulatory health care planning: A dental health practice management model." Journal of Medical Systems 13, no. 3 (June 1989): 131–44. http://dx.doi.org/10.1007/bf00995884.

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