DOI: https://doi.org/10.14710/vol15iss4pp%25p

Development Of A Hot-Fit Framework For Hmis: Empirical Study And Technical Implications At A Regional General Hospital

*Frendy Rumambi scopus  -  Department of Electrical Engineering and Informatics Faculty of Engineering Malang State University, Malang, Indonesia, Indonesia
Open Access Copyright (c) 2026 Jurnal Sistem Informasi Bisnis

Citation Format:
Abstract

The digitalization of the health industry has allowed hospitals to adopt a Hospital Information System (HIS) for enhancing the efficiency, transparency and quality of services. Even though the application of HIS is regulated nationally, the success in its adoption in Indonesia is considered varied, Dr. Samaratulagi Tondano Regional Hospital in Minahasa Regency, North Sulawesi is no exception. This research is focused on the development and application of the novel model, Extended HOT-Fit Framework, by incorporating Data Quality as the new dimension under Technology domain. The study adopted quantitative approach and applied Structural Equation Modeling (SEM) to evaluate the variables’ interrelationships. A survey of 150 respondents, all active users of SIRS, was conducted. The research instrument was designed according to the adapted 2006 HOT-Fit model. The results analysis indicates that Data Quality enhances the ability of the model to explain user satisfaction, the net benefit of the system. Moreover, System Quality and Service Quality dimensions also significantly impact user satisfaction, and organizational factors (Structure and Environment) have indirect impact on net benefits. This study provides empirical and technical contribution to the development of model for SIRS success evaluation in Indonesia. From a practical point of view, findings of this study can assist hospital managers in devising better improvement strategies for data quality and system integration in SIRS implementation.

Fulltext Email colleagues
Keywords: Hospital Information System; HOT-Fit Model; Data Quality; Information System Success; SEM

Article Metrics:

Article Info
Section: Research Articles
Language : EN
Most cited articles
Pengukuran Kesadaran Keamanan Informasi Dan Privasi Pada Pengguna Smartphone Android Di Indonesia Algoritma K-Means Clustering Untuk Pengelompokan Ayat Al Quran Pada Terjemahan Bahasa Indonesia Aplikasi Penentuan Tarif Listrik Menggunakan Metode Fuzzy Sugeno Sistem Pemungutan Suara Elektronik Menggunakan Model Poll Site E-Voting Sistem Pemilihan Perumahan dengan Metode Kombinasi Fuzzy C-Means Clustering dan Simple Additive Weighting More cited articles
  1. D. B. Setyohadi, “Identification of factors influencing the success of hospital information system (SIRS) by HOT-Fit model: A case study of RSUD Dr. Samratulangi Tondano, Minahasa Regency, North Sulawesi,” in *Proc. Int. Conf. Soft Comput., Intell. Syst. Inf. Technol. (ICSIIT)*, 2021, pp. 202–207, doi: 10.1109/ICSIIT54025.2021.00042
  2. S. N. D. Septiyani and W. Sulistiadi, “Application of hospital management information systems (SIMRS) using the HOT-Fit method: Systematic review,” *J.-KESMAS: J. Public Health*, vol. 8, no. 2, pp. 136–148, 2022, doi: 10.35329/jkesmas.v8i2.3706
  3. R. K. Putri, A. D. Fitriani, and Asriwati, “HOT-Fit model in hospital management information systems (SIMRS) at Pariaman Regional General Hospital,” *J. Health Med. Sci.*, vol. 1, no. 2, pp. 10–20, 2022, doi: 10.33005/jhms.v1i2.10s
  4. A. Nurhayati, “Analysis of SIM-RS use in outpatient with HOT-Fit method in regional hospitals,” *Health Technol. J.*, vol. 3, no. 1, pp. 45–56, 2022, doi: 10.33005/htj.v3i1.45
  5. A. Suryana, F. Adikara, M. F. Arrozi, and A. R. Taufik, “Model for improving the utilization of hospital information systems based on the HOT-Fit method at Dr. Sulianti Saroso Infectious Disease Hospital,” *J. Human Dev. Cult.*, vol. 1, no. 2, pp. 153–166, 2022, doi: 10.55480/saluscultura.v1i2.23
  6. Tawar, A. F. Santoso, and Y. S. Salma, “The HOT-FIT model in information system management,” *Sci. Technol. Discuss.*, vol. 1, no. 2, pp. 76–82, 2022, doi: 10.29407/bst.v1i02.76
  7. S. W. Nasution, “Hospital management information system implementation using the HOT-FIT model: An empirical study in Indonesian hospitals,” *Period. Health Mag.*, vol. 10, no. 1, pp. 1–12, 2023, doi: 10.15395/mkb.v10i1.2808s
  8. R. P. Serhalawan, N. A. Rumana, D. H. Putra, and P. Fannya, “Application of the HOT-Fit method in evaluating hospital management information systems: Literature review,” *COMSERVA: J. Res. Community Serv.*, vol. 2, no. 4, pp. 200–215, 2023, doi: 10.33005/comserva.v2i4.200
  9. D. Makalalag, “Evaluation of the medical record service information system at Prof. Dr. V.L. Ratumbuysang Provincial Hospital, North Sulawesi, using the HOT-Fit model approach,” *Indones. J. Health Manage.*, vol. 11, no. 2, pp. 150–162, 2023, doi: 10.14710/jmki.11.2.150
  10. A. Rusdiana, “Analysis of electronic medical record implementation based on HOT-Fit factors in regional health centers,” *Indones. J. Community Health*, vol. 20, no. 2, pp. 108–126, 2023, doi: 10.36418/jkk.i20.2.108
  11. E. S. Wardhana, “A comprehensive evaluation of hospital information systems based on the HOT-FIT framework: Empirical insights from Indonesia,” *Indones. J. Dentistry*, vol. 15, no. 1, pp. 45–58, 2024, doi: 10.22146/ijd.v15i1.18256
  12. M. Munjirin, “Evaluation of the implementation of the hospital management information system using HOT-FIT: Case in regional hospitals,” *Midwifery J.*, vol. 5, no. 2, pp. 120–135, 2024, doi: 10.37287/mj.v5i2.1585
  13. R. K. Putri, “Implementing the HOT-Fit method in hospital management information systems: Empirical study at RSIA Asih Balikpapan,” *inCAF J.*, vol. 12, no. 1, pp. 50–65, 2024, doi: 10.20885/incaf.vol12.iss1.art3
  14. F. P. Ekananda, “Evaluation of healthcare service digitalization using the HOT-Fit framework: Technical implications,” *J. La Sociale*, vol. 5, no. 1, pp. 30–45, 2024, doi: 10.37899/journal-la-sociale.v5i1.2581
  15. R. N. Sinaga, M. Mitra, and J. Yunita, “Structural model of hospital management information systems based on the HOT-Fit framework,” *J. Pharm. Manage. Serv.*, vol. 14, no. 3, pp. 200–215, 2024, doi: 10.24090/jmp2k.v14i3.2537
  16. G. P. Laia, H. Lumban Gaol, and J. Boris, “Overview of a hospital management information system using the HOT-Fit method in Medan hospitals,” *J. Indones. Health Policy Admin.*, vol. 10, no. 3, Art. no. 5, 2025, doi: 10.7454/ihpa.v10i3.1156
  17. L. M. Erlirianto, “The implementation of the human, organization, and technology-fit (HOT-Fit) framework to evaluate EMR in hospitals: Update 2025,” *Int. J. Health Manage.*, vol. 17, no. 1, pp. 24–30, 2025, doi: 10.55845/ijhm.v17i1.472
  18. E. S. Wardhana, “HOT-Fit framework for SIMRS development: Empirical study in Sulawesi regional hospitals,” *Indones. J. Dentistry*, vol. 16, no. 1, pp. 60–75, 2025, doi: 10.22146/ijd.v16i1.18256
  19. S. W. Nasution, “Technical implications of HOT-Fit for hospital information systems: Case study RSUD Dr. Samratulangi,” *Period. Health J.*, vol. 11, no. 2, pp. 80–95, 2025, doi: 10.15395/mkb.v11i2.2808
  20. R. M. Putri, “HOT-Fit model evaluation in SIMRS: Implications for technical development in Indonesian hospitals,” *Int. J. Nurs. Health Serv.*, vol. 8, no. 1, pp. 1–15, 2025, doi: 10.35654/ijnhs.v8i1.767
  21. D. Makalalag, “Empirical evaluation of medical records system using HOT-Fit at RSJ Prof. Dr. V.L. Ratumbuysang, North Sulawesi,” *Indones. J. Health Manage.*, vol. 12, no. 1, pp. 100–115, 2025, doi: 10.14710/jmki.12i1.15748
  22. F. P. Ekananda, “Development of HOT-Fit framework for digital healthcare: Technical and empirical insights,” *J. La Sociale*, vol. 6, no. 1, pp. 40–55, 2025, doi: 10.37899/journal-la-sociale.v6i1.2581s
  23. M. Munjirin, “Implementation challenges of HOT-Fit in regional hospital SIMRS: Sulawesi case,” *Midwifery J.*, vol. 6, no. 1, pp. 130–145, 2025, doi: 10.37287/mj.v6i1.1585
  24. R. N. Sinaga, “Structural modeling of SIMRS using HOT-Fit: Empirical validation in Minahasa hospitals,” *J. Pharm. Manage. Serv.*, vol. 15, no. 1, pp. 220–235, 2025, doi: 10.24090/jmp2k.v15i1.2537
  25. G. P. Laia, “HOT-Fit based framework development for hospital information systems: Technical implications in North Sulawesi,” *J. Indones. Health Policy Admin.*, vol. 10, no. 4, Art. no. 6, 2025, doi: 10.7454/ihpa.v10i4.1156
  26. F. Zheng *et al.*, “Factors influencing clinicians’ use of hospital information systems for infection prevention and control: Cross-sectional study based on the extended DeLone and McLean model,” *J. Med. Internet Res.*, vol. 25, p. e46468, 2023, doi: 10.2196/46468
  27. C. K. Sastradipraja, “Evaluation of IT-based SCM system using the DeLone and McLean information system success model,” *J. Sist. Inf.*, vol. 11, no. 1, pp. 1–15, 2025, doi: 10.37896/jsi.v11i1.695
  28. M. Al-Kofahi, H. Hassan, and R. Mohamad, “DeLone and McLean information systems success model: A literature review,” *Int. J. Bus. Inf. Syst.*, vol. 48, no. 4, pp. 452–481, 2025, doi: 10.1504/IJBIS.2025.145551

Last update:

No citation recorded.

Last update: 2026-05-17 13:31:50

No citation recorded.