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Journal articles on the topic 'HEALTH INFORMATION MANAGEMENT'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Almutairi, Mohammed A. "Planning and Development of Health Management Information Systems." Journal of Medical Science And clinical Research 11, no. 09 (September 30, 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 investment to improve patient care, make the most of available resources, and ensure data security in a constantly evolving healthcare environment.

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2

Kapur, Radhika. "Health Information Management." Acta Scientifci Nutritional Health 3, no. 11 (October 10, 2019): 65–69. http://dx.doi.org/10.31080/asnh.2019.03.0488.

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3

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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4

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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5

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

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6

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

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7

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

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8

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 (June 1, 1991): 95–114. http://dx.doi.org/10.1093/intqhc/3.2.95.

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9

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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10

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 (May 1, 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 PRISMA and calculation was performed indicators of quality, quantity, and trend analysis. Results: These were identified as trends: Managing information and knowledge, Educational model/Curriculum design, information-seeking behavior. A research agenda also arises with the themes: reconfiguration of health policies, design and collaborative use in digital resources, telemedicine, meta-analysis tools for decision-making and cloud infrastructures. Conclusions: The United States leads the production in the subject, but there is a gap in Latin America in research in this field of knowledge. Likewise, as new routes in which the research exercise should be deepened are the reconfiguration of health policies, design and collaborative use of digital resources, telemedicine, meta-analysis of tools for decision making and Cloud infrastructures.

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11

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 363 personnel, working in medical records departments of hospitals affiliated to Tehran University of Medical Sciences, was selected. Users’ perception of applying information technology was studiedby a researcher-developed questionnaire. Collected data were analyzed by SPSS software (version16) using descriptive statistics and regression analysis.Results: The results suggest that TAM is a useful construct to assess user acceptance of information technology in the context of HIM. The findings also evidenced the per -ceived ease of use (PEOU) and perceived usefulness (PE) were positively associated with favorable users’ attitudes towards HIM. PU was relatively more associated ( r= 0.22, p = 0.05) than PEOU (r = 0.014, p = 0.05) with favorable user attitudes towards HIM.Conclusions: Users’ perception of usefulness and ease of use are important determinants providing the incentive for users to accept information technologies when the application of a successful HIM system is attempted. The findings of the present study suggest that user acceptance is a key element and should subsequently be the major concern of health organizations and health policy makers.

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12

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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13

Phung, Hai, Lis Young, Mai Tran, Khin Than Win, Carole Alcock, and Ken Hillman. "Health Informatics and Health Information Management in Maternal and Child Health Services." Health Information Management 33, no. 2 (September 2004): 36–42. http://dx.doi.org/10.1177/183335830403300204.

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14

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 (April 12, 2016): 90–96. http://dx.doi.org/10.1177/1833358316639447.

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15

Magennis, Tina. "Health Information Management in Singapore." Health Information Management 27, no. 3 (September 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. Record design and assembly, release of information and centralised registries are also described.

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16

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

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17

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

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18

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

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19

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 (March 1986): 41–43. http://dx.doi.org/10.1016/0268-4012(86)90046-0.

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20

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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21

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 (August 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 governance of patient data and information increasingly requires the HIM profession to incorporate the roles of data scientists and data stewards into its portfolio to ensure data analytics and digital transformation is appropriately managed. Not only are terminology standards required to facilitate the structure and primary use of this data, developments in Canada in relation with the standards, role descriptions, framework and curricula in the form of certification provide one prime example of ensuring the quality of the secondary use of patient data. The impending introduction of ICD-11 brings with it the need for the HIM profession to manage the transition between ICD versions and country modifications incorporating changes to standards and tools, and the availability and type of patient data available for secondary use. Conclusions: In summary, the health information management profession now requires abilities in leadership, data, and informatics in addition to health information science and coding skills to facilitate the expanding secondary use of patient data.

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22

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

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23

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

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24

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

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25

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

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26

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

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27

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

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28

Henderson, Joan. "Health Information Management Journal Reviewers 2017." Health Information Management Journal 47, no. 1 (December 20, 2017): 56. http://dx.doi.org/10.1177/1833358317745215.

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29

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

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30

Lloyd, Sheree, and Carl Smith. "Case Studies in Health Information Management." Health Information Management 27, no. 2 (June 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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31

Cook, Angela. "Case Studies in Health Information Management." Health Information Management 28, no. 3 (September 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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32

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

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33

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

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34

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

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35

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

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36

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

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37

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

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38

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

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39

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 governance of patient data and information increasingly requires the HIM profession to incorporate the roles of data scientists and data stewards into its portfolio to ensure data analytics and digital transformation is appropriately managed. Not only are terminology standards required to facilitate the structure and primary use of this data, developments in Canada in relation with the standards, role descriptions, framework and curricula in the form of certification provide one prime example of ensuring the quality of the secondary use of patient data. The impending introduction of ICD-11 brings with it the need for the HIM profession to manage the transition between ICD versions and country modifications incorporating changes to standards and tools, and the availability and type of patient data available for secondary use. Conclusions: In summary, the health information management profession now requires abilities in leadership, data, and informatics in addition to health information science and coding skills to facilitate the expanding secondary use of patient data.

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40

Stanley, E. H. "Health Information Management Across the Continuum." JAMA: The Journal of the American Medical Association 281, no. 18 (May 12, 1999): 1759. http://dx.doi.org/10.1001/jama.281.18.1759.

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41

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 (January 2015): 1–10. http://dx.doi.org/10.1002/pra2.2015.145052010046.

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42

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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43

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

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44

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

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45

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 (August 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 practices are impacted by AI technologies: 1) Automated medical coding and capturing AI-based information; 2) Healthcare data management and data governance; 3) Fbtient privacy and confidentiality; and 4) HIM workforce training and education. Discussion: HIM professionals must focus on improving the quality of coded data that is being used to develop AI applications. HIM professional’s ability to identify data patterns will be an important skill as automation advances, though additional skills in data analysis tools and techniques are needed. In addition, HIM professionals should consider how current patient privacy practices apply to AI application, development, and use. Conclusions: AI technology will continue to evolve as will the role of HIM professionals who are in a unique position to take on emerging roles with their depth of knowledge on the sources and origins of healthcare data. The challenge for HIM professionals is to identify leading practices for the management of healthcare data and information in an AI-enabled world.

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46

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

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47

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

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48

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 (June 21, 2011): 4–7. http://dx.doi.org/10.1111/j.1748-0361.2011.00383.x.

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49

Wolfe, Karen. "Computerized Information Management." AAOHN Journal 38, no. 4 (April 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 (May 1990): 243–45. http://dx.doi.org/10.1177/216507999003800507.

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