Evaluating electronic medical record implementation using the HOT-FIT model at UPTD Puskesmas Ungaran

##plugins.themes.academic_pro.article.sidebar##

Published Apr 17, 2025
https://doi.org/10.35335/midwifery.v13i1.1896
Download
PDF
Statistic

Downloads

Download data is not yet available.
Vol. 13 No. 1 (2025): Health Sciences and related fields

##plugins.themes.academic_pro.article.main##

Novi Ika Kurniawati
Politeknik Indonusa Surakarta, Indonesia
Wahyu Wijaya Widiyanto
Politeknik Indonusa Surakarta, Indonesia

Abstract

This study evaluated the implementation of Electronic Medical Records (EMR) at UPTD Puskesmas Ungaran using the Human-Organization-Technology Fit (HOT-FIT) model. The research employed a descriptive qualitative approach to explore how human readiness, organizational support, and technological infrastructure influenced EMR adoption. Data were collected through in-depth interviews, observations, and document analysis involving twelve healthcare professionals. Thematic analysis revealed that most users had limited training and lacked confidence in using the system, often leading to partial documentation. Organizationally, there was minimal supervision, unclear standard operating procedures, and no internal technical support. Technologically, the system frequently experienced downtime and integration failures with national platforms such as Pcare BPJS. These findings indicate that the EMR implementation remains fragmented and procedural, rather than transformative. The study concluded that the success of EMR adoption requires not only system availability but also holistic readiness across all HOT-FIT dimensions. Practical recommendations include ongoing capacity-building, improved policy enforcement, and user-centered system development. This study provides insight for policymakers and healthcare managers to enhance EMR sustainability in primary care settings.

##plugins.themes.academic_pro.article.details##

How to Cite
Kurniawati, N. I. and Widiyanto, W. W. (2025) “Evaluating electronic medical record implementation using the HOT-FIT model at UPTD Puskesmas Ungaran”, Science Midwifery, 13(1), pp. 227-234. doi: 10.35335/midwifery.v13i1.1896.

References

Addinni, T. (2023). Peranan Penting Keterlibatan Masyarakat terhadap Penyelenggaraan Pelayanan Kesehatan sebagai Subsistem Upaya Kesehatan di Indonesia. Researchgate, December.
Andhani, A. Z., Ramalinda, D., Jayadi, Y. Y., Pramudianto, A., Rahayu, T., Sutisna, T., … Raharja, A. R. (2024). Dasar-Dasar Rekam Medis: Panduan Praktis untuk Pemula. Penerbit Kbm Indonesia.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Cranford, S. W. (2020). Seven Seconds or Less: Buzzwordy Titles in the Era of MOFs and Tinder. Matter, 3(4), 965–967.
Cronje, J. C. (2020). Designing Questions for Research Design and Design Research in e‑Learning. Electronic Journal of E-Learning, 18(1), 13–24.
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9–30.
Djati, S. P. (2023). Manajemen Strategis dalam Pelayanan Kesehatan Masyarakat. Indonesia Emas Group.
Evi, T. (2023). Transformasi Transaksi Tunai ke Digital di Indonesia. CV. AA. Rizky.
Fryer, L. K., & Dinsmore, D. L. (2020). The Promise and Pitfalls of Self-report: Development, research design and analysis issues, and multiple methods. Frontline Learning Research, 8(3), 1–9.
Grieshaber, S. (2020). Equity and research design. In Doing early childhood research (pp. 177–191). Routledge.
Handayani, P. W., Hidayanto, A. N., Ayuningtyas, D., Budi, I., & Kusnanto, H. (2019). Acceptance model of a hospital electronic medical record system based on an extended technology acceptance model. BMC Medical Informatics and Decision Making, 19(1), 1–10.
Melliasari, H., Dwiyono, I., Purwadhi, P., & Widjaya, Y. R. (2024). Digital Leadership Skill dan Peranannya Bagi Kepemimpinan Institusi Pelayanan Kesehatan di Era Digital. Syntax Idea, 6(9), 4055–4063.
Mulyadi, H., Setyawan, A., & Lestari, I. (2022). Workload and information system adoption among Indonesian nurses. Journal of Health Informatics in Developing Countries, 16(1), 15–24.
Mulyana, M., Situmorang, M., & Fatikasari, S. (2023). Evaluasi Sistem Informasi (Electronic Medical Record) dengan Metode HOT-Fit terhadap Mutu Pelayanan Kesehatan. Jurnal Rekam Medis dan Informatika Kesehatan, 13(1), 21–30.
Nugroho, H. (2020). Kesiapan Tenaga IT di Puskesmas: Tantangan dan Peluang. Jurnal Sistem Informasi Kesehatan, 5(2), 44–50.
Nurdiani, T. (2024). Tanggung Jawab Hukum Rumah Sakit terhadap Perlindungan Kerahasiaan Medis dalam Pengelolaan Data Rekam Medis Elektronik. Universitas Muhammadiyah Malang.
Pomeo, W. R. R., & Winarti, E. (2024). Dinamika Implementasi Kebijakan Penempatan Tenaga Kesehatan di Daerah Terpencil: Tantangan dan Realitas Lapangan. Jurnal Kesehatan Tambusai, 5(1), 2309–2329.
Rahmawati, E., & Susanto, D. (2022). Accuracy of medical data in electronic versus paper-based records. Asian Pacific Journal of Health Informatics, 10(2), 33–40.
Saragih, M., & Novimariono, N. (2020). An Experimental Study of The Effectiveness PEOW MODEL Through Applying Quartet Card in Teaching English Writing. Indonesian Journal of Education, Social Sciences and Research (IJESSR), 1(1), 32–40.
Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020). Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media. Big Data, 8(3), 171–188.
Sittig, D. F., & Singh, H. (2010). A new sociotechnical model for studying health information technology in complex adaptive healthcare systems. Quality & Safety in Health Care, 19(3), i68–i74.
Vitrapratama, R. (n.d.). Analisis kepuasan pengguna aplikasi tije menggunakan metode end user computing satisfaction (eucs). Fakultas Sains dan Teknologi UIN Syarif HIdayatullah Jakarta.
Yusof, M. M., Papazafeiropoulou, A., Paul, R. J., & Stergioulas, L. K. (2008). Investigating evaluation frameworks for health information systems. International Journal of Medical Informatics, 77(6), 377–385.