Evaluasi Kematangan Teknologi Informasi Kesehatan: Penerapan Health Information Technology Maturity Model (HITMM)
DOI:
https://doi.org/10.31004/riggs.v4i2.1482Keywords:
Teknologi Informasi Kesehatan, HITMM, Kematangan Sistem, Interoperabilitas, Rekam Medis Elektronik, Keamanan InformasiAbstract
Perkembangan teknologi informasi kesehatan (Health Information Technology/HIT) telah mengubah sistem pelayanan kesehatan melalui penerapan rekam medis elektronik, sistem pendukung keputusan klinis, telemedisin, dan integrasi data lintas fasilitas. Namun, tantangan seperti infrastruktur terbatas, biaya implementasi, dan kurangnya interoperabilitas sering menghambat adopsi HIT, terutama di negara berkembang seperti Indonesia. Penelitian ini bertujuan mengevaluasi tingkat kematangan penerapan HIT di institusi kesehatan menggunakan Health Information Technology Maturity Model (HITMM) dengan lima dimensi utama: infrastruktur TI, pengelolaan data dan informasi, interoperabilitas, penggunaan sistem klinis, dan keamanan informasi. Menggunakan pendekatan kuantitatif, data dikumpulkan melalui kuesioner terstruktur dari 30 tenaga kesehatan di sebuah institusi layanan kesehatan. Hasil evaluasi menunjukkan tingkat kematangan rata-rata 4,1 (Level 4), dengan interoperabilitas sebagai dimensi terlemah (skor 3,9). Rekomendasi strategis meliputi peningkatan interoperabilitas melalui standar global seperti HL7/FHIR, pelatihan keamanan siber, dan integrasi kecerdasan buatan. Penelitian ini memberikan panduan bagi institusi kesehatan untuk meningkatkan kapabilitas sistem informasi guna mendukung pelayanan kesehatan yang berkelanjutan dan berkualitas.
Downloads
References
Y. K. Alotaibi and F. Federico, “The impact of health information technology on patient safety,” Saudi Med. J., vol. 38, no. 12, p. 1173, Dec. 2017, doi: 10.15537/SMJ.2017.12.20631.
T. K. Nuckols et al., “The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: A systematic review and meta-analysis,” Syst. Rev., vol. 3, no. 1, Jun. 2014, doi: 10.1186/2046-4053-3-56.
L. Riset and D. I. Al-Matani, “Penerapan Elektronic Medical Record (EMR) Di Rumah Sakit ‘X’ Pekanbaru Tahun 2019,” JHMHS J. Hosp. Manag. Heal. Sci., vol. 1, no. 1, pp. 43–53, Sep. 2020, doi: 10.55583/JHMHS.V1I1.26.
E. H. B. Koten, B. S. Ningrum, and R. T. S. Hariyati, “Implementasi Electronic Medical Record (EMR) dalam Pelayanan Kesehatan di Rumah Sakit: Studi Literatur,” Carolus J. Nurs., vol. 2, no. 2, pp. 95–110, May 2020, doi: 10.37480/CJON.V2I2.45.
Neng Sari Rubiyanti, “Penerapan Rekam Medis Elektronik di Rumah Sakit di Indonesia: Kajian Yuridis,” ALADALAH J. Polit. Sos. Huk. dan Hum., vol. 1, no. 1, pp. 179–187, Jan. 2023, doi: 10.59246/ALADALAH.V1I1.163.
R. Kriswibowo, J. S. Prayogo, R. W. Febriana, and P. A. Alia, “Implementasi Black Box Testing dan Acceptance Testing Fitur SKKM pada Cybercampus.uam.ac.id Universitas Anwar Medika,” J. Inform. Univ. Pamulang, vol. 8, no. 4, pp. 561–567, Dec. 2023, doi: 10.32493/INFORMATIKA.V8I4.36904.
I. Intansari, M. Rahmaniati, and D. F. Hapsari, “Evaluasi Penerapan Rekam Medis Elektronik Dengan Pendekatan Technology Acceptance Model di Rumah Sakit X di Kota Surabaya,” J-REMI J. Rekam Med. dan Inf. Kesehat., vol. 4, no. 3, pp. 108–117, Jun. 2023, doi: 10.25047/J-REMI.V4I3.3914.
R. Kriswibowo, R. W. Febriana, and J. S. Prayogo, “Tingkat Kebergunaan Aplikasi Pedulilindungi Mobile Menggunakan Metode Sistem Usability Scale dan Net Promoter Score,” Decod. J. Pendidik. Teknol. Inf., vol. 3, no. 1, pp. 54–62, Feb. 2023, doi: 10.51454/DECODE.V3I1.120.
S. K. Brenner et al., “Effects of health information technology on patient outcomes: a systematic review,” J. Am. Med. Informatics Assoc., vol. 23, no. 5, pp. 1016–1036, Sep. 2016, doi: 10.1093/JAMIA/OCV138.
Y. N. Zainun and D. F. Rosyada, “Digital Maturity Analysis of Primary Health Care Fasilities in Sleman and Gunungkidul Regions Digital Maturity Analysis of Primary Health Care Fasilities in Sleman and Gunungkidul Regions,” no. January, 2025, doi: 10.13140/RG.2.2.21340.30085.
K. Ishida and E. Hanada, “ChatGPT (GPT-4V) Performance on the Healthcare Information Technologist Examination in Japan,” Cureus, vol. 17, no. 1, pp. 1–11, 2025, doi: 10.7759/cureus.76775.
D. Ayu Hapsari et al., “Analisis Kesiapan Implementasi Rekam Medis Elektronik Menggunakan Instrumen CAFP (California Academy of Family Physicians) di Puskesmas Kartasura,” J. Ilm. Perekam dan Inf. Kesehat. Imelda, vol. 8, no. 2, pp. 242–252, Aug. 2023, doi: 10.52943/JIPIKI.V8I2.1342.
Y. J. Wang, W. C. Choo, K. Y. Ng, R. Bi, and P. W. Wang, “Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model,” Sci. Rep., vol. 15, no. 1, pp. 1–13, Dec. 2025, doi: 10.1038/S41598-025-91622-8;SUBJMETA=639,692,700,705;KWRD=HEALTH+CARE,MATHEMATICS+AND+COMPUTING.
J. Cowls, A. Tsamados, M. Taddeo, and L. Floridi, “A definition, benchmark and database of AI for social good initiatives,” Nat. Mach. Intell., vol. 3, no. 2, pp. 111–115, Feb. 2021, doi: 10.1038/s42256-021-00296-0.
Y. Zhu, H. Wan, L. A. Carlos, J. Ye, and S. Zeng, “Evaluating digital maturity in specialized enterprises: a multi-criteria decision-making approach,” Int. Entrep. Manag. J., vol. 21, no. 1, pp. 1–22, Dec. 2025, doi: 10.1007/S11365-024-01051-8/METRICS.
I. W. Adhitama, A. F. Santoso, and ..., “Pengukuran Tingkat Kematangan Proses Incident Management Pada Sistem Informasi Manajemen Rumah Sakit Xyz Menggunakan Itil Versi 3,” eProceedings …, vol. 12, no. 1, pp. 1677–1682, 2025, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/download/25995/24792
F. N. Apriadi and A. H. Muhammad, “Penerapan IT Strategic Alignment dan IT Governance untuk Mengukur Kematangan Helpdesk Layanan TI,” JIPI (Jurnal Ilm. Penelit. dan Pembelajaran Inform., vol. 10, no. 2, pp. 1385–1403, Mar. 2025, doi: 10.29100/JIPI.V10I2.6276.
J. Campmann, N. Rosenkranz, and C. Rosenkranz, “Towards Electronic Healthcare for All: Designing a Capability Maturity Model for Digital Healthcare Services,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., pp. 4044–4053, Jan. 2025, doi: 10.24251/HICSS.2025.486.
M. D. Ronaldo and M. Zaki, “Evaluasi Manajemen Layanan Teknologi Informasi Berdasarkan Proses Service Operation ITIL V3 pada Puskesmas Pasir Putih,” Sisfo J. Ilm. Sist. Inf., vol. 9, no. 1, pp. 77–88, Jun. 2025, doi: 10.29103/SISFO.V9I1.21795.
D. S. N. Utomo, S. H. Fitriasih, and S. Setiyowati, “Evaluasi Sistem Informasi Manajemen Puskesmas (Simpus) (Studi Kasus : Puskesmas Induk Di Wilayah Kabupaten Sukoharjo),” J. Teknol. Inf. dan Komun., vol. 9, no. 1, p. 27, Apr. 2021, doi: 10.30646/TIKOMSIN.V9I1.541.
H. Hambali, “Penerapan Domain Monitor and Evaluate Framework Cobit 4.1 dalam Pelaksanaan Audit Sistem Informasi,” J. Sci. Soc. Res., vol. 4, no. 2, p. 205, Jun. 2021, doi: 10.54314/JSSR.V4I2.608.
R. Fornasiero, L. Kiebler, M. Falsafi, and S. Sardesai, “Proposing a maturity model for assessing Artificial Intelligence and Big data in the process industry,” Int. J. Prod. Res., vol. 63, no. 4, pp. 1235–1255, Feb. 2025, doi: 10.1080/00207543.2024.2372840.
R. Patawala and A. D. Manuputty, “Audit Sistem Informasi pada Dinas Perpustakaan dan Kearsipan Kota Salatiga Menggunakan Framework Cobit 4.1 Domain Monitor and Evaluate,” Sebatik, vol. 25, no. 1, pp. 42–49, Jun. 2021, doi: 10.46984/SEBATIK.V25I1.1322.
Z. A. Al-Sai, R. Abdullah, and M. H. Husin, “A review on big data maturity models,” 2019 IEEE Jordan Int. Jt. Conf. Electr. Eng. Inf. Technol. JEEIT 2019 - Proc., pp. 156–161, May 2019, doi: 10.1109/JEEIT.2019.8717398.
J. V. Carvalho, Á. Rocha, and A. Abreu, “Maturity Models of Healthcare Information Systems and Technologies: a Literature Review,” J. Med. Syst., vol. 40, no. 6, pp. 1–10, Jun. 2016, doi: 10.1007/S10916-016-0486-5/METRICS.
Á. Rocha, “Evolution of information systems and technologies maturity in healthcare,” Int. J. Heal. Inf. Syst. Inform., vol. 6, no. 2, pp. 28–36, Apr. 2011, doi: 10.4018/jhisi.2011040103.
N. D. Schiff et al., “Brain–Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap,” Neurocritical Care 2024 411, vol. 41, no. 1, pp. 129–145, Jan. 2024, doi: 10.1007/S12028-023-01924-W.
H. Kharrazi, C. P. Gonzalez, K. B. Lowe, T. R. Huerta, and E. W. Ford, “Forecasting the Maturation of Electronic Health Record Functions Among US Hospitals: Retrospective Analysis and Predictive Model,” J. Med. Internet Res., vol. 20, no. 8, p. e10458, Aug. 2018, doi: 10.2196/10458
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Rony Kriswibowo, Selfya Ningrum

This work is licensed under a Creative Commons Attribution 4.0 International License.


















