Integration of digital technology by health analysts in health  information systems: Systematic Review

Suprapto Suprapto; Muh Ihsan Kamaruddin

doi:10.61099/jih.v1i1.105

Authors

Suprapto Suprapto Departement of Nursing, Politeknik Sandi Karsa, South Sulawesi, Indonesia, Indonesia https://orcid.org/0000-0003-4294-1469
Muh Ihsan Kamaruddin Politeknik Sandi Karsa, South Sulawesi, Indonesia, Indonesia

DOI:

https://doi.org/10.61099/jih.v1i1.105

Keywords:

Data analytics, digital technology, electronic health records, health analyst, health information systems

Abstract

Introduction: The rapid advancement of digital technology has significantly transformed health information systems (HIS) worldwide. Health analysts, as key professionals in managing health data, play a crucial role in the integration and utilization of these digital tools. However, the extent, effectiveness, and challenges of this integration remain underexplored across different healthcare contexts. This systematic review aims to examine the integration of digital technology by health analysts within health information systems, focusing on the types of technologies adopted, the roles played by health analysts, the benefits gained, and the challenges encountered during implementation.

Methods: Following the PRISMA 2020 guidelines, we conducted a systematic search of peer-reviewed articles published between 2013 and 2025 from databases including PubMed, Scopus, ScienceDirect, and Google Scholar. Keywords used included “health analyst”, “digital technology”, “health information system”, and “integration”. Eligible studies included primary research involving health analysts and the application of digital health technologies.

Results: From an initial pool of 1,274 articles, 28 studies met the inclusion criteria. The findings reveal that health analysts have been instrumental in integrating technologies such as Electronic Health Records (EHR), Laboratory Information Systems (LIS), data analytics platforms, and mobile health applications. The integration has led to improved data accuracy, faster reporting, and enhanced decision-making support. Nonetheless, several challenges were identified, including lack of digital training, infrastructure limitations, and regulatory gaps.

Conclusions: The integration of digital technologies by health analysts significantly enhances the performance of health information systems. However, successful adoption requires continuous professional development, supportive policies, and robust digital infrastructure. Future efforts should focus on strengthening the digital competencies of health analysts and aligning technology integration with national health strategies.

Downloads

Download data is not yet available.

References

Bertolin Furstenau, L. and Abreu Saurin, T. (2024) ‘Designing resilient health services supported by digital technologies: A study of the blood transfusion process’, Technology in Society, 77, p. 102593. doi: https://doi.org/10.1016/j.techsoc.2024.102593.

Bhati, M., Goerlandt, F. and Pelot, R. (2025) ‘Digital twin development towards integration into blue economy: A bibliometric analysis’, Ocean Engineering, 317, p. 119781. doi: https://doi.org/10.1016/j.oceaneng.2024.119781.

Du, X. and Fang, S. (2025) ‘Does the lack of energy resilience a serious problem at the forefront of policy analysts? Role of supply chain digitalization and environmental law in OECD countries’, Energy Economics, 141, p. 108150. doi: https://doi.org/10.1016/j.eneco.2024.108150.

Duffy, A. et al. (2025) ‘Examining Challenges to Co-Design Digital Health Interventions With End Users: Systematic Review’, Journal of Medical Internet Research, 27. doi: https://doi.org/10.2196/50178.

Ezeudoka, B. C. et al. (2024) ‘The use of digital health services to combat E-waste health hazards: A review on the impact and awareness in Southwest Nigeria’, Toxicology, 509, p. 153969. doi: https://doi.org/10.1016/j.tox.2024.153969.

Fu, P. et al. (2025) ‘Financial engineering and the digital economy: The implementations of machine learning algorithms’, Alexandria Engineering Journal, 125, pp. 311–319. doi: https://doi.org/10.1016/j.aej.2025.03.122.

G, V. et al. (2025) ‘Digital Twins and Cyber-Physical Systems: A New Frontier in Computer Modeling’, CMES - Computer Modeling in Engineering and Sciences, 143(1), pp. 51–113. doi: https://doi.org/10.32604/cmes.2025.057788.

Giagnocavo, C. et al. (2025) ‘A multi-stakeholder perspective on the use of digital technologies in European organic and agroecological farming systems’, Technology in Society, 81, p. 102763. doi: https://doi.org/10.1016/j.techsoc.2024.102763.

Jones, K. C. et al. (2025) ‘Understanding Patient Perspectives on Digital Smoking History Data Collection’, CHEST Pulmonary, p. 100180. doi: https://doi.org/10.1016/j.chpulm.2025.100180.

Kidd, S. A. et al. (2025) ‘App for independence: A feasibility randomized controlled trial of a digital health tool for schizophrenia spectrum disorders’, Schizophrenia Research, 275, pp. 52–61. doi: https://doi.org/10.1016/j.schres.2024.11.011.

Klein, D. et al. (2025) ‘Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study’, Journal of Medical Internet Research, 27. doi: https://doi.org/10.2196/60189.

Kopanaki, E. and Stamoulis, D. S. (2025) ‘Designing an information system to support family policy making – the digital transformation of the policy making process’, Procedia Computer Science, 256, pp. 142–149. doi: https://doi.org/10.1016/j.procs.2025.02.106.

Li, S. et al. (2025) ‘How does the innovation of digital and green technology integration promote corporate environmental performance’, International Review of Economics & Finance, 99, p. 104035. doi: https://doi.org/10.1016/j.iref.2025.104035.

Matlin, S. A. et al. (2025) ‘Digital solutions for migrant and refugee health: a framework for analysis and action’, The Lancet Regional Health - Europe, 50, p. 101190. doi: https://doi.org/10.1016/j.lanepe.2024.101190.

McCarthy, S. et al. (2025) ‘A socio-cognitive perspective of knowledge integration in digital innovation networks’, The Journal of Strategic Information Systems, 34(1), p. 101871. doi: https://doi.org/10.1016/j.jsis.2024.101871.

Milani, F., Kubrak, K. and Nava, J. (2024) ‘Strategic redesign of business processes in the digital age: A framework’, Data & Knowledge Engineering, 154, p. 102367. doi: https://doi.org/10.1016/j.datak.2024.102367.

Nguyen, T. D. H. N. et al. (2025) ‘Digital twin framework to enhance facility management for relocatable modular buildings’, Automation in Construction, 176, p. 106249. doi: https://doi.org/10.1016/j.autcon.2025.106249.

Olaye, E. et al. (2025) ‘Personalized Governance Strategy for Patient Data in a Digital One Health Surveillance System’, Procedia Computer Science, 254, pp. 20–29. doi: https://doi.org/10.1016/j.procs.2025.02.060.

Philpot, L. M. et al. (2024) ‘Individual-Level Digital Determinants of Health and Technology Acceptance of Patient Portals: Cross-Sectional Assessment’, JMIR Formative Research, 8. doi: https://doi.org/10.2196/56493.

Ramachandran, S. et al. (2024) ‘Digital Competencies and Training Approaches to Enhance the Capacity of Practitioners to Support the Digital Transformation of Public Health: Rapid Review of Current Recommendations’, JMIR Public Health and Surveillance, 10. doi: https://doi.org/10.2196/52798.

Sreedharan, S., Ramachandran, M. and Ramesh, D. (2025) ‘Harnessing digital twins and industrial-IoT for cutting-edge mining automation: A methodological and technology assessment prototype’, Computers & Industrial Engineering, 201, p. 110871. doi: https://doi.org/10.1016/j.cie.2025.110871.

Wilhelm, E. et al. (2025) ‘Effects of the Modern Digital Information Environment on Maternal Health Care Professionals, the Role of Midwives, and the People in Their Care: Scoping Review’, Journal of Medical Internet Research, 27. doi: https://doi.org/10.2196/70108.

Wu, J. J. et al. (2025) ‘Factors Influencing Primary Care Physicians’ Intent to Refer Patients With Hypertension to a Digital Remote Blood Pressure Monitoring Program: Mixed Methods Study’, Journal of Medical Internet Research, 27. doi: https://doi.org/10.2196/64933.

Zhou, Y., Wang, W. and Liu, Y. (2025) ‘How does digital transformation drive green innovation in agricultural supply chains?’, Renewable and Sustainable Energy Reviews, 217, p. 115780. doi: https://doi.org/10.1016/j.rser.2025.115780.