The Adoption, Acceptance, and Perceived Usefulness of Health Information Systems: A Scopus-Based Bibliometric Review Using VOSviewer (2014-2024)
Abstract
Introduction: The integration of Health Information Systems (HIS) has transformed healthcare by incorporating systems for acquiring, processing, analyzing, and sending critical information, therefore enhancing management efficiency. This study aimed to identify users' adoption, acceptance, and perceived utility of HIS using bibliometric analysis of the Scopus database from 2014 to 2024, concentrating on the literature regarding HIS.
Methods: The present research utilized a bibliometric methodology. This study includes 418 articles from the Scopus database that met the inclusion criteria. Inclusion criteria were limited to English-language articles and review papers published between 2014 and 2024. Duplicate records and non-open-access publications were excluded. The dataset was transformed into RIS and CSV formats and analyzed using VOSviewer, applying clustering, overlay, and density visualization techniques to reveal thematic structure, collaboration patterns, and the temporal evolution of research on HIS.
Results: The United States leads in HIS publications, contributing 137 articles between 2014 and 2024. The Journal of Medical Internet Research is the most prolific journal with 16 articles, and Bates, D.W., is the leading author with 7 publications. Key factors influencing HIS adoption and acceptance include technological infrastructure, user training, and organizational support. Theories such as the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) are commonly applied to explain acceptance by users and managers. Keyword analysis revealed major themes including patient care, telemedicine, mHealth, COVID-19 impacts, acceptance, and satisfaction. Perceived benefits driving HIS utilization involve time-saving, effort reduction, cost efficiency, and overall effectiveness.
Conclusion: The effective implementation of HIS depends on elevated levels of user acceptance and perceived usefulness, which directly affect the purpose of utilizing these technologies. The utilization of HIS enhances satisfaction among healthcare providers and patients, while also reducing healthcare costs and improving clinical procedures and care quality.
References
Odunayo Josephine Akindote, Abimbola Oluwatoyin Adegbite, Adedolapo Omotosho, Anthony Anyanwu, Chinedu Paschal Maduka. Evaluating the Effectiveness of It Project Management in Healthcare Digitalization: a Review. Int Med Sci Res J. 2024;4(1):37–50.
Barker W, Chang W, Everson J, Gabriel M, Patel V, Richwine C, et al. The Evolution of Health Information Technology for Enhanced Patient-Centric Care in the United States: Data-Driven Descriptive Study. J Med Internet Res. 2024;26:e59791.
Teixeira L, Cardoso I, Oliveira e Sá J, Madeira F. Are Health Information Systems Ready for the Digital Transformation in Portugal? Challenges and Future Perspectives. Healthcare (Switzerland). 2023;11.
Ismail NI, Abdullah NH, Shamsuddin A. Adoption of Hospital Information System (HIS) in Malaysian Public Hospitals. Procedia - Soc Behav Sci. 2015;172:336–43.
Alipour J, Mehdipour Y, Karimi A. Factors Affecting Acceptance of Hospital Information Systems in Public Hospitals of Zahedan University of Medical Sciences: A Cross-Sectional Study. J Med Life. 2019;12(4):403–10.
Handayani PW, Hidayanto AN, Pinem AA, Sandhyaduhita PI, Budi I. Hospital information system user acceptance factors: User group perspectives. Informatics Heal Soc Care. 2018;43(1):84–107.
Alipour J, Karimi A, Ebrahimi S, Ansari F, Mehdipour Y. Success or failure of hospital information systems of public hospitals affiliated with Zahedan University of Medical Sciences: A cross sectional study in the Southeast of Iran. Int J Med Inform. 2017;108(October):49–54.
Luo J, Ahmad SF, Alyaemeni A, Ou Y, Irshad M, Alyafi-Alzahri R, et al. Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size. Humanit Soc Sci Commun. 2024;11(1):516.
Kow RY, Mohamad Rafiai N, Ahmad Alwi AA, Low CL, Ahmad MW, Zakaria Z, et al. COVID-19 Infodemiology: Association Between Google Search and Vaccination in Malaysian Population. Cureus. 2022;14(9):5–11.
Joshi M V, Kulkarni CA, Wadhokar OC, Wanjari MB. Growing Trends in Scientific Publication in Physiotherapy Treatment of Knee Osteoarthritis: A Bibliometric Literature Analysis. Cureus. 2023;15(11):e48292.
Nizam Siron K, Kow RY, Md Amin NAN, Low CL, Wahid AN, Jasni F, et al. Shoulder Arthroplasty: A Bibliometric Analysis Using the Scopus Database. Cureus. 2024;16(6).
Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. J Bus Res. 2021;133(March):285–96.
Pranckut? R. Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World. Publications. 2021;9.
Markscheffel B, Schröter F. Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies. COLLNET J Sci Inf Manag. 2021 Jul 3;15(2):365–96.
Haris A, Aini Q. Bibliometric Analysis of Electronic Medical Records (EMR) Acceptance and Adoption: Trends, Insights, and Future Directions. J Angiother. 2024;8(5):1–13.
Bamgboje-Ayodele A, Boscolo A, Burger M, Hutchings O, Shaw M, Shaw T, et al. Health IT Implementation and the Impact of the COVID-19 Pandemic on Clinician-IT Dynamics: Qualitative Study. J Med Internet Res. 2025;27:e57847.
Bank TW. World Bank Open Data [Internet]. 2025 [cited 2025 Jun 3]. Available from: https://data.worldbank.org/
Bates DW. Scopus Author Profile [Internet]. 2025 [cited 2025 Jun 3]. Available from: https://www.scopus.com/authid/detail.uri?authorId=57113031900&origin=resultslist
Mozaffar H, Cresswell KM, Williams R, Bates DW, Sheikh A. Exploring the roots of unintended safety threats associated with the introduction of hospital ePrescribing systems and candidate avoidance and/or mitigation strategies: A qualitative study. BMJ Qual Saf. 2017;26(9):722–33.
Rahimi B, Nadri H, Afshar HL, Timpka T. A systematic review of the technology acceptance model in health informatics. Appl Clin Inform. 2018;9(3):604–34.
Aymé S, Bellet B, Rath A. Rare diseases in ICD11: making rare diseases visible in health information systems through appropriate coding. Orphanet J Rare Dis. 2015;10:35.
Pouloudi N, Currie W, Whitley EA. Entangled stakeholder roles and perceptions in health information systems: A longitudinal study of the U.K. NHS N3 Network. J Assoc Inf Syst. 2016;17(2):107–61.
Luo J. Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size. Humanit Soc Sci Commun. 2024;11(1).
Nadri H, Rahimi B, Afshar HL, Samadbeik M, Garavand A. Factors affecting acceptance of hospital information systems based on extended technology acceptance model: A case study in three paraclinical departments. Appl Clin Inform. 2018;9(2):238–47.
Reis ZSN, Maia TA, Marcolino MS, Becerra-Posada F, Novillo-Ortiz D, Ribeiro ALP. Is there evidence of cost benefits of electronic medical records, standards, or interoperability in hospital information systems? overview of systematic reviews. JMIR Med Informatics. 2017;5(3).
Al?marsy A, Chaudhary P, Rodger JA. A model for examining challenges and opportunities in use of cloud computing for health information systems. Appl Syst Innov. 2021;4(1):1–20.
Price M, Lau F. The clinical adoption meta-model: A temporal meta-model describing the clinical adoption of health information systems. BMC Med Inform Decis Mak. 2014;14(1).
Zakaria N, Mohd Yusof SA. Understanding Technology and People Issues in Hospital Information System (HIS) Adoption: Case study of a tertiary hospital in Malaysia. J Infect Public Health. 2016;9(6):774–80.
Barzekar H, Ebrahimzadeh F, Luo J, Karami M, Robati Z, Goodarzi P. Adoption of hospital information system among nurses: A technology acceptance model approach. Acta Inform Medica. 2019;27(5):305–10.
Lwin HNN, Punnakitikashem P, Thananusak T. E-Health Research in Southeast Asia: A Bibliometric Review. Sustain. 2023;15(3).
Richwine C. Progress and Ongoing Challenges to Electronic Public Health Reporting Among Non-Federal Acute Care Hospitals. In: ASTP Health IT Data Brief. Office of the Assistant Secretary for Technology Policy, Washington, DC 20201: Office of the Assistant Secretary for Technology Policy; 2012. p. 1–17.
Ker JI, Wang Y, Hajli N. Examining the impact of health information systems on healthcare service improvement: The case of reducing in patient-flow delays in a U.S. hospital. Technol Forecast Soc Change. 2018;127(June 2017):188–98.
Malik M, Kazi AF, Hussain A. Adoption of health technologies for effective health information system: Need of the hour for Pakistan. PLoS One. 2021;16(10 October).
Ljubicic V. Drivers of intentions to use healthcare information systems among health and care professionals. Health Informatics J. 2020;26(1):56–71.
Mahla M. The acceptance level of Hospital Information Management System (HIMS) among the nursing officials working in a teaching hospital. J Educ Health Promot. 2021;10(1).
Ammenwerth E. Technology Acceptance Models in ealth nformatics: TAM and UTAUT. Stud Health Technol Inform. 2019;263:64–71.
Lee AT, Ramasamy RK, Subbarao A. Understanding Psychosocial Barriers to Healthcare Technology Adoption: A Review of TAM Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology and UTAUT Frameworks. Vol. 13, Healthcare. 2025.
Addo K, Agyepong PK. Evaluating the Health Information system implementation and utilization in healthcare delivery. Health Informatics J. 2024;30(4).
Al-Adwan AS, Berger H. Exploring physicians’ behavioural intention toward the adoption of electronic health records: An empirical study from Jordan. Int J Healthc Technol Manag. 2015;15(2):89–111.
Copyright (c) 2025 Media Publikasi Promosi Kesehatan Indonesia (MPPKI)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with Media Publikasi Promosi Kesehatan Indonesia retain the copyright of their work. The journal applies a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), which grants the following rights:
-
Copyright Retention: Authors retain the copyright of their work, maintaining full control over their intellectual property without restrictions.
-
Right of First Publication: Authors grant the journal the right of first publication of their work. This ensures that the work is initially published and credited in Media Publikasi Promosi Kesehatan Indonesia.
-
License to Share and Reuse: The work is licensed under CC BY-SA 4.0, allowing others to copy, distribute, remix, and build upon the work for any purpose, even commercially, as long as proper credit is given to the authors, and any new creations are licensed under the same terms.