Data Governance Design for Optimization of Hospital Management Information System (SIM-RS) at ABC Regional Hospital

  • Muhammad Furqan Nazuli Institut Teknologi Bandung
  • Irfan Walhidayah Institut Teknologi Bandung
  • Neng Ayu Herawati Institut Teknologi Bandung
  • Lenny Putri Yulianti Institut Teknologi Bandung
  • Kridanto Surendro Institut Teknologi Bandung
##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.24843/LKJITI.2025.v16.i01.p03

Abstrak

The increasing complexity of hospital data management requires a robust Data Governance (DG) framework to ensure data quality, security, and compliance. This study focuses on developing a DG framework tailored to the Hospital Management Information System (SIM-RS) at RSUD ABC to enhance data integration, accessibility, and regulatory adherence. A qualitative approach with a case study method was employed, involving interviews and document analysis to identify key challenges in data management. The proposed DG framework aligns with ICD-10 and regulatory requirements, ensuring interoperability and efficient data processing. Implementing the Master Patient Index (MPI) reduces duplicate records, while Two-Factor Authentication (2FA) and AES-256 encryption strengthen data security. FHIR standards facilitate seamless data exchange across healthcare systems, optimizing operational efficiency. AI-driven data analytics further enhances clinical decision-making and administrative workflows. Evaluation of the framework demonstrates significant improvements in data quality, regulatory compliance, and risk management, leading to improved patient care and reduced medical errors. The High-Level Roadmap outlines a phased implementation strategy for sustainable DG adoption. Future research may explore performance metrics, Blockchain integration, and organizational change management to refine DG practices in healthcare institutions further.

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

Referensi

[1] A. I. Stoumpos, F. Kitsios, and M. A. Talias, "Digital Transformation in Healthcare: Technology Acceptance and Its Applications," International Journal of Environmental Research and Public Health, vol. 20, no. 4, 2023, doi: 10.3390/ijerph20043407.
[2] S. B. Dolins and R. E. Kero, "Data Management Challenges for U.S. Healthcare Providers," Emerging Trends Challenges in Information Technology Management Proceedings 2006 Information Resource Management Association Conference U6 - ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=infosid/summon.serialssolutions.com&rft, pp. 724-727, 2020, [Online]. Available: http://uvic.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2BQSElJMUi1SLW0TLVITDYwT jROSUqzSEszSwamHtBeR5StY0iluZsQA1NqniiDpJtriLOHbmZ6ZjyopVkc7-kCmnUBIjEGFmCnOBUAnh4XnQ
[3] A. Setiorini, S. R. Natasia, Y. T. Wiranti, and D. A. Ramadan, "Evaluation of the Application of Hospital Management Information System (SIMRS) in RSUD Dr. Kanujoso Djatiwibowo Using the HOT-Fit Method," Journal of Physics: Conference Series, vol. 1726, no. 1, 2021, doi: 10.1088/1742- 6596/1726/1/012011.
[4] A. Farras and H. Hustinawati, "Analyzing Hospital's Management Information System Based on Patient's and Employee's Perception Using EUCS Method," Indonesian Journal of Multidisciplinary Science, vol. 2, no. 1, pp. 1861-1867, 2022, doi: 10.55324/ijoms.v2i1.269.
[5] N. Rendell, K. Lokuge, A. Rosewell, and E. Field, "Factors that influence data use to improve health service delivery in low- and middle-income countries," Global Health: Science and Practice, vol. 8, no. 3, pp. 566-581, 2020, doi: 10.9745/GHSP-D-19-00388.
[6] S. Deghati, "Impact of Data Governance on Data Quality in Healthcare Institutions," American Journal of Data Information and Knowledge Management, vol. 5, no. 1, pp. 39-48, 2024, doi: 10.47672/ajdikm.2351.
[7] R. Shinta Oktaviana, P. W. Handayani, and A. N. Hidayanto, "Health organization challenges in health data governance implementation: A systematic review," Journal of Infrastructure Policy and Development, vol. 8, no. 6, pp. 1-22, 2024, doi: 10.24294/jipd.v8i6.3892.
[8] N. Kallioinen, A. Hill, M. J. Christofidis, M. S. Horswill, and M. O. Watson, "Quantitative systematic review: Sources of inaccuracy in manually measured adult respiratory rate data," Journal of Advanced Nursing, vol. 77, no. 1, pp. 98-124, 2021, doi: 10.1111/jan.14584.
[9] T. Schmitt, "New governance of the digital health agency: a way out of the joint decision trap to implement electronic health records in Germany?", Health Economics, Policy and Law, vol. 19, no. 2, pp. 269- 288, 2024, doi: 10.1017/S1744133123000142.
[10] C. De Freitas et al., "Public and patient involvement in health data governance (DATAGov): Protocol of a people-centred, mixed-methods study on data use and sharing for rare diseases care and research," BMJ Open, vol. 11, no. 3, pp. 1-7, 2021, doi: 10.1136/bmjopen-2020-044289.
[11] N. Nwebonyi, S. Silva, and C. de Freitas, "Public Views About Involvement in Decision-Making on Health Data Sharing, Access, Use and Reuse: The Importance of Trust in Science and Other Institutions," Front Public Health, vol. 10, no. May, pp. 1-11, 2022, doi: 10.3389/fpubh.2022.852971.
[12] R. I. Toshpulatov, "International Journal of Pedagogics," International Journal Population Data Science, vol. 03, no. 09, pp. 43-47, 2022.
[13] O. F. Ayilara, L. Zhang, T. T. Sajobi, R. Sawatzky, E. Bohm, and L. M. Lix, "Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry," Health and Quality of Life Outcomes, vol. 17, no. 1, pp. 1-9, 2019, doi: 10.1186/s12955-019- 1181-2.
[14] V. Z. Gavgani and A. Pourrasmi, "Data Governance Navigation for Advanced Operations in Healthcare Excellence," Depiction of Health, vol. 15, no. 3, pp. 249-254, 2024, doi: 10.34172/doh.2024.19.
[15] A. Faridoon and M.-T. Kechadi, "Healthcare Data Governance, Privacy, and Security - A Conceptual Framework," Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, vol. abs/2403.1, pp. 1-11, 2024.
[16] K. Bliznak, M. Munk, and A. Pilkova, "A Systematic Review of Recent Literature on Data Governance (2017-2023)," IEEE Access, no. September, pp. 149875-149888, 2024, doi: 10.1109/ACCESS.2024.3476373.
[17] O. Benfeldt, J. S. Persson, and S. Madsen, "Data Governance as a Collective Action Problem," Information System Frontiers, vol. 22, no. 2, pp. 299-313, 2020, doi: 10.1007/s10796-019-09923-z.
[18] M. Fernando, B. Abell, Z. Tyack, T. Donovan, S. M. McPhail, and S. Naicker, "Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review," Journal of Medical Internet Research, vol. 25, no. 1, 2023, doi: 10.2196/45163.
[19] D. Cachata, M. Costa, T. Magalhães, and F. Gaspar, "The Integration of Information Technology in the Management and Organization of Nursing Care in a Hospital Environment: A Scoping Review," International Journal of Environmental Research and Public Health, vol. 21, no. 8, 2024, doi: 10.3390/ijerph21080968.
[20] H. Berrami, Z. Serhier, and M. B. Othmani, "Reasons for the Success or Failure of a Hospital Information System: A Systematic Review," SAS Journal of Medicine, vol. 10, no. 03, pp. 180-187, 2024, doi: 10.36347/sasjm.2024.v10i03.008.
[21] R. S. Oktaviana, P. W. Handayani, and A. N. Hidayanto, "Health Data Governance Issues in Healthcare Facilities: Perspective of Hospital Management," 2022 10th International Conference on Information Communication Technology (ICoICT), no. January, pp. 1-5, 2022, doi: 10.1109/ICoICT55009.2022.9914865.
[22] J. Choi et al., "Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital," Healthcare Informatics Research, vol. 29, no. 3, pp. 209-217, 2023, doi: 10.4258/hir.2023.29.3.209.
[23] A. Halwai and V. Vaswani, "Post-approval process: A challenge for ethics committees," Perspectives in Clinical Research, vol. 14, no. 3, pp. 139-145, 2023, doi: 10.4103/picr.picr_214_22.
[24] P. Mehta, O. Zimba, A. Y. Gasparyan, B. Seiil, and M. Yessirkepov, "Ethics Committees: Structure, Roles, and Issues," Journal of Korean Medical Science, vol. 38, no. 25, pp. 1-17, 2023, doi: 10.3346/jkms.2023.38.e198.
[25] G. Birkbeck, T. Nagle, and D. Sammon, "Challenges in research data management practices: a literature analysis," Journal of Decision Systems, vol. 31, no. S1, pp. 153-167, 2022, doi: 10.1080/12460125.2022.2074653.
[26] C. Chen, M. Wang, and S. Chen, "An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis," Biometrics, vol. 79, no. 4, pp. 2947-2960, 2023, doi: 10.1111/biom.13858.
[27] J. Sörensen, A. S. Persson, and J. A. Olsson, "A data management framework for strategic urban planning using blue-green infrastructure," Journal of Environmental Management, vol. 299, no. September, 2021, doi: 10.1016/j.jenvman.2021.113658.
[28] A. K. Rahimi et al., "Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers," Journal of Medical Internet Research, vol. 26, pp. 1-29, 2024, doi: 10.2196/49655.
[29] J. Ladley, Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program. 2019. doi: 10.1016/C2017-0-03353-0.
Diterbitkan
2025-06-04
##submission.howToCite##
NAZULI, Muhammad Furqan et al. Data Governance Design for Optimization of Hospital Management Information System (SIM-RS) at ABC Regional Hospital. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], v. 16, n. 1, p. 27-40, june 2025. ISSN 2541-5832. Tersedia pada: <https://ojs.unud.ac.id/index.php/lontar/article/view/122834>. Tanggal Akses: 06 july 2026 doi: https://doi.org/10.24843/LKJITI.2025.v16.i01.p03.