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Journal articles on the topic 'HEALTH INFORMATION MANAGEMENT'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kapur, Radhika. "Health Information Management." Acta Scientifci Nutritional Health 3, no. 11 (2019): 65–69. http://dx.doi.org/10.31080/asnh.2019.03.0488.

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2

Almutairi, Mohammed A. "Planning and Development of Health Management Information Systems." Journal of Medical Science And clinical Research 11, no. 09 (2023): 122–25. http://dx.doi.org/10.18535/jmscr/v11i9.16.

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The research examines the field of Health Management Information Systems (HMIS) which are created and used in existing healthcare systems. It highlights the significance of HMIS as well as its advantages and drawbacks. Critical phases in the development of an HMIS are described in the methodology section. The existing findings support data-driven decision-making, improved patient care, cost savings, and higher data security. Among the difficulties include interoperability, data security, and workforce issues. In conclusion, HMIS is necessary for healthcare, requiring careful planning and inves

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3

Mitchell, Jennifer. "Information Technology and Health Information Management." Australian Medical Record Journal 23, no. 3 (1993): 83–84. http://dx.doi.org/10.1177/183335839302300304.

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4

Pratt, Wanda, Kenton Unruh, Andrea Civan, and Meredith M. Skeels. "Personal health information management." Communications of the ACM 49, no. 1 (2006): 51–55. http://dx.doi.org/10.1145/1107458.1107490.

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5

Randall, Angela. "Health Information Service Management." Health Information Management Journal 35, no. 2 (2006): 5. http://dx.doi.org/10.1177/183335830603500202.

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6

Williamson, J. W., E. Reerink, A. Donabedian, C. W. Turner, and A. J. Christensen. "HEALTH SCIENCE INFORMATION MANAGEMENT." International Journal for Quality in Health Care 3, no. 2 (1991): 95–114. http://dx.doi.org/10.1093/intqhc/3.2.95.

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7

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 (2020): 30–47. http://dx.doi.org/10.36872/lepi/v51i1/301004.

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8

Valencia-Arias, Alejandro, Maria Camila Bermeo-Giraldo, Ada Gallegos, Lucia Palacios-Moya, and Sergio Gómez Molina. "Evolución y tendencias investigativas de la gestión de la información en salud." Journal of Pharmacy & Pharmacognosy Research 11, no. 3 (2023): 473–88. http://dx.doi.org/10.56499/jppres22.1497_11.3.473.

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Context: Because of the recent pandemic COVID-19, research on management systems health information grew rapidly, underscoring the importance of knowing the investigative trends in these issues to identify the findings and global networks knowledge. Aims: To examine the developments and research trends in information management in health. Methods: A bibliometric analysis was carried out with the 215 results obtained from a search equation performed in the Scopus database. Documents were selected using the inclusion criteria according to the recommendations of the international declaration PRIS

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9

Abdekhoda, M., A. Dehnad, A. F. Hosseini, and M. Ahmadi. "Information Technology Acceptance in Health Information Management." Methods of Information in Medicine 53, no. 01 (2014): 14–20. http://dx.doi.org/10.3414/me13-01-0079.

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SummaryObjective: User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM.Methods: This was a descriptive- analytical study in which a sample of 187 personnel from a population of 36

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10

Nishida, Shinichiro. "Information Security Management for Health Information Systems." Japanese Journal of Radiological Technology 66, no. 12 (2010): 1655–64. http://dx.doi.org/10.6009/jjrt.66.1655.

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11

Southon, Gray. "Health Information Management and the Health System." Health Information Management 25, no. 3 (1995): 79–80. http://dx.doi.org/10.1177/183335839502500302.

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12

Makinde, Olusesan Ayodeji, Mohammed Ibrahim Mami, Benson Macaulay Oweghoro, Kolawole Azeez Oyediran, and Stephanie Mullen. "Investing in health information management." Health Information Management Journal 45, no. 2 (2016): 90–96. http://dx.doi.org/10.1177/1833358316639447.

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13

Magennis, Tina. "Health Information Management in Singapore." Health Information Management 27, no. 3 (1997): 124–27. http://dx.doi.org/10.1177/183335839702700307.

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This paper provides an overview of health information management practices in Singapore, based on personal observation and interviews with health information managers in five Singaporean hospitals. In Singapore borrowing a medical record often requires a formal request and a permanent tracer is maintained for each record. Medical officers generally have more responsibility than in Australia for coding, which is completed within three days of discharge. A Singapore-wide centralised patient database has been developed which is an important source of information about patient drug allergies. Reco

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14

The American Society for Informatio. "INTEGRATING HEALTH INFORMATION MANAGEMENT SYSTEMS." ACM SIGBIO Newsletter 9, no. 2 (1987): 23–26. http://dx.doi.org/10.1145/29491.992627.

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15

Ryland, Richard K. "Information Management in Health Services." Journal of Advanced Nursing 20, no. 4 (1994): 781–82. http://dx.doi.org/10.1046/j.1365-2648.1994.20040777-13.x.

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16

Parris, Gillian. "HELMIS (Health Management Information Service) — The development of a computerized database for health management information." International Journal of Information Management 6, no. 1 (1986): 41–43. http://dx.doi.org/10.1016/0268-4012(86)90046-0.

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17

Ruffin, T. Ray. "Health Information Technology and Quality Management." International Journal of Information Communication Technologies and Human Development 8, no. 4 (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 i

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18

Fenton, S. H., S. Low, K. J. Abrams, and K. Butler-Henderson. "Health Information Management: Changing with Time." Yearbook of Medical Informatics 26, no. 01 (2017): 72–77. http://dx.doi.org/10.1055/s-0037-1606481.

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Summary Objective: With the evolution of patient medical records from paper to electronic media and the changes to the way data is sourced, used, and managed, there is an opportunity for health information management (HIM) to learn and facilitate the increasing expanse of available patient data. Methods: This paper discusses the emerging trends and lessons learnt in relation with the following four areas: 1) data and information governance, 2) terminology standards certification, 3) International Classification of Diseases, 11th edition (ICD-11), and 4) data analytics and HIM. Results: The gov

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19

Bailey, Richard. "HEALTH INFORMATION MANAGEMENT: COMPETING THROUGH QUALITY." Community College Journal of Research and Practice 28, no. 1 (2004): 57–58. http://dx.doi.org/10.1080/10668920490252088.

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20

Williamson, Dianne. "Case Studies in Health Information Management." Health Information Management 29, no. 3 (2000): 138. http://dx.doi.org/10.1177/183335830002900318.

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21

Randall, Angela. "Research in Health Information Management Practice." Health Information Management 32, no. 2 (2004): 38. http://dx.doi.org/10.1177/183335830403200201.

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22

Randall, Angela. "Health Information Management: An International Focus." Health Information Management 33, no. 3 (2004): 77. http://dx.doi.org/10.1177/183335830403300301.

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23

Randall, Angela. "Health Information Management in Epidemiological Research." Health Information Management 34, no. 3 (2005): 66. http://dx.doi.org/10.1177/183335830503400301.

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24

Cheney, Carmel. "Carmel Cheney: Health Information Management Consultant." Health Information Management Journal 38, no. 3 (2009): 69–71. http://dx.doi.org/10.1177/183335830903800312.

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25

Henderson, Joan. "Health Information Management Journal Reviewers 2017." Health Information Management Journal 47, no. 1 (2017): 56. http://dx.doi.org/10.1177/1833358317745215.

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26

Cook, Angela. "Health Information Management Association of Australia." Australian Medical Record Journal 23, no. 2 (1993): 35–39. http://dx.doi.org/10.1177/183335839302300201.

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27

Lloyd, Sheree, and Carl Smith. "Case Studies in Health Information Management." Health Information Management 27, no. 2 (1997): 92–94. http://dx.doi.org/10.1177/183335839702700213.

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This is the second management case study in the series. Each one highlights situations and problems that health information managers may face in their work. The series is interactive: readers are invited to comment on the case study and suggest strategies for dealing with the problems it reveals. Contributions from readers are published in the following issue. Responses to our first case study, published in the May 1997 issue, are reproduced below.

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28

Cook, Angela. "Case Studies in Health Information Management." Health Information Management 28, no. 3 (1998): 139–40. http://dx.doi.org/10.1177/183335839802800311.

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This is the seventh management case study in our series. Each one highlights situations and problems that health information managers may face in their work. The series is interactive: readers are invited to comment on the case study and suggest strategies for dealing with the problems it reveals.

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29

Jones, Ann. "Health Information Management: Readership Survey Results." Health Information Management 28, no. 4 (1998): 193–95. http://dx.doi.org/10.1177/183335839902800412.

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30

Lloyd, Sheree. "Case Studies in Health Information Management." Health Information Management 28, no. 4 (1998): 197–98. http://dx.doi.org/10.1177/183335839902800414.

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31

Carroll, Jayne. "Case Studies in Health Information Management." Health Information Management 29, no. 1 (1999): 51–52. http://dx.doi.org/10.1177/183335839902900123.

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32

Ward, Diane. "The necessity of health information management." Case Manager 10, no. 3 (1999): 26–27. http://dx.doi.org/10.1016/s1061-9259(99)80101-5.

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33

Chu, S. "Information Retrieval and Health/Clinical Management." Yearbook of Medical Informatics 11, no. 01 (2002): 271–75. http://dx.doi.org/10.1055/s-0038-1638123.

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34

Tan, Joseph K. H. "Health Management Information Systems (2nd ed.)." Journal For Healthcare Quality 23, no. 6 (2001): 44. http://dx.doi.org/10.1097/01445442-200111000-00016.

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35

Green, L. E. "Epidemiological information in sheep health management." Small Ruminant Research 92, no. 1-3 (2010): 57–66. http://dx.doi.org/10.1016/j.smallrumres.2010.04.006.

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36

Fenton, S. H., S. Low, K. J. Abrams, and K. Butler-Henderson. "Health Information Management: Changing with Time." Yearbook of Medical Informatics 26, no. 01 (2017): 72–77. http://dx.doi.org/10.15265/iy-2017-021.

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Summary Objective: With the evolution of patient medical records from paper to electronic media and the changes to the way data is sourced, used, and managed, there is an opportunity for health information management (HIM) to learn and facilitate the increasing expanse of available patient data. Methods: This paper discusses the emerging trends and lessons learnt in relation with the following four areas: 1) data and information governance, 2) terminology standards certification, 3) International Classification of Diseases, 11th edition (ICD-11), and 4) data analytics and HIM. Results: The gov

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37

Stanley, E. H. "Health Information Management Across the Continuum." JAMA: The Journal of the American Medical Association 281, no. 18 (1999): 1759. http://dx.doi.org/10.1001/jama.281.18.1759.

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38

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 (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 laggar

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39

Sun, Si, and Nicholas J. Belkin. "Information attribute motivators of personal health information management activities." Proceedings of the Association for Information Science and Technology 52, no. 1 (2015): 1–10. http://dx.doi.org/10.1002/pra2.2015.145052010046.

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40

Steinwachs, Donald M. "Management Information Systems." Medical Care 23, no. 5 (1985): 607–22. http://dx.doi.org/10.1097/00005650-198505000-00019.

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41

Welebob, Emily M. "Health information exchange." Nursing Management (Springhouse) 38, no. 10 (2007): 12–14. http://dx.doi.org/10.1097/01.numa.0000295541.62932.d8.

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42

Stanfill, Mary H., and David T. Marc. "Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management." Yearbook of Medical Informatics 28, no. 01 (2019): 056–64. http://dx.doi.org/10.1055/s-0039-1677913.

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Objective: This paper explores the implications of artificial intelligence (AI) on the management of healthcare data and information and how AI technologies will affect the responsibilities and work of health information management (HIM) professionals. Methods: A literature review was conducted of both peer-reviewed literature and published opinions on current and future use of AI technology to collect, store, and use healthcare data. The authors also sought insights from key HIM leaders via semi-structured interviews conducted both on the phone and by email. Results: The following HIM practic

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43

Georgiou, Andrew, and Joanne Callen. "The Role of Health Information Management in Health Reform." Health Information Management Journal 40, no. 2 (2011): 4–5. http://dx.doi.org/10.1177/183335831104000201.

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44

Shepheard, Jennie, and Andrea Groom. "The role of health classifications in health information management." Health Information Management Journal 49, no. 2-3 (2020): 83–87. http://dx.doi.org/10.1177/1833358320905970.

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45

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 sug

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46

Madison, Mary, William J. Rudman, Susan Hart-Hester, Nadine Caputo, Molly French, and Warren A. Jones. "Leveraging Health Information Technology and Health Information Management in Rural America: A Health Summit Commentary." Journal of Rural Health 28, no. 1 (2011): 4–7. http://dx.doi.org/10.1111/j.1748-0361.2011.00383.x.

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47

Morgan, Dennis A. "U.S. Army Occupational Health Management Information System Health Hazard Information Module Version 2.2." Applied Occupational and Environmental Hygiene 10, no. 4 (1995): 283–88. http://dx.doi.org/10.1080/1047322x.1995.10389037.

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48

Meidani, Zahra, Farhnaz Sadoughi, Maryam Ahmadi, Mohammad Reza Maleki, Alireza Zohoor, and Basema Saddik. "National Health Information Infrastructure Model: A Milestone for Health Information Management Education Realignment." Telemedicine and e-Health 18, no. 6 (2012): 475–83. http://dx.doi.org/10.1089/tmj.2011.0189.

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49

Wolfe, Karen. "Computerized Information Management." AAOHN Journal 38, no. 4 (1990): 186–88. http://dx.doi.org/10.1177/216507999003800406.

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50

Wolfe, Karen. "Computerized Information Management." AAOHN Journal 38, no. 5 (1990): 243–45. http://dx.doi.org/10.1177/216507999003800507.

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