How Is The Level Of Knowledge Of Medical Recorders And Health Information About Snomed Ct Towards Medical Records Transformation? Case Study In Tasikmalaya Hospital
DOI:
https://doi.org/10.37160/mijournal.v22i1.1307Keywords:
knowledge, Medical Records, snomed ct, tranformationAbstract
Background: One of the health problems in Indonesia is fragmented health data. Today, interoperability in Indonesia is still a barrier.SNOMED-CT is a new policy to be implemented in hospitals in Indonesia. This knowledge of SNOMED-CT has a great impact on the performance of administrator health information management, it affects the information generated in medical records especially in support of medical services. Objectives: The aim of this study is to learn the knowledge of administrator health information management on SNOMED-CT at the Tasikmalaya City Hospital. Methods: A type of quantitative research with a descriptive approach. The population in this study is medical recorders and health information. Sampling technique using simple random sampling. Data collection method using a questionnaire. Data analysis using univariate analysis. Conducting a frequency distribution analysis of the level of knowledge of medical recorders and health information in the city hospital of Tasikmalaya in 2024. Results: The level of knowledge of medical recorders and health information about SNOMED-CT belongs to a sufficient category of 45%, a category of less than 28% and a good category of 27%. Conclusion: Medical recorder knowledge and health information on SNOMED-CT in Tasikmalaya City Hospital in category sufficient. To support administrator health information management insight into SNOMED-CT, independent learning can be done using a healthy website, webinars, training and workshops
Downloads
References
Asriyani Sembiring, Adi Nugroho, Zairin Noor, Herawati, H. (2016). Hubungan Faktor Individu, Organisasi, dan Psikologi Dengan Kepatuhan Terhadap Clinical Pathway Pada Profesional Pemberi Asuhan di RSGM Gusti Hasan Aman. 5, 1–23.
Azzahra, P. N. (2024). Hubungan Tingkat Pendidikan, Usia, Lama Bekerja, dan Pengalaman Dengan Tingkat Pengathuan Guru TK Tentang Pertolongan Pertama Kejang pada Anak di Kota Padang.
DTO, Pusdatin, K. R. (2023). Standar Terminologi Satu Sehat. https://satusehat.kemkes.go.id/platform/docs/id/terminology/
Eden, R., Burton-Jones, A., Grant, J., Collins, R., Staib, A., & Sullivan, C. (2020). Digitising an Australian university hospital: qualitative analysis of staff-reported impacts. Australian Health Review : A Publication of the Australian Hospital Association, 44(5), 677–689. https://doi.org/10.1071/AH18218
Ernyasih, A. (2025). Faktor-Faktor Yang Berhubungan Dengan Kesehatan Mental Remaja: Literature Review. AN-NUR: Jurnal Kajian Dan Pengembangan Kesehatan Masyarakat, 6(2), 131–145. https://jurnal.umj.ac.id/index.php/AN-NUR/article/view/27450
Firmansyah, Y. W., Parulian, A. A., Kristiawan, H., Prasaja, B. J., Mandels, R. J., & Weningsih, I. R. (2024). Peningkatan pengetahuan tentang SNOMED-CT dan ICD-10 bagi tenaga perekam medis dan informasi kesehatan. SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan, 8(4), 3944–3949. https://doi.org/10.31764/JPMB.V8I4.27137
Kementerian Kesehatan Republik Indonesia. (2021). Cetak Biru Strategi Transformasi Digital Kesehatan 2024. Kementerian Kesehatan Republik Indonesia., 1–78.
Kemkes RI. (2022). Permenkes No.24 Tahun 2022 Tentang Rekam Medis Elektronik. In Regulasi Kesehatan (Issue 8.5.2017, pp. 2003–2005).
Kruse, C. S., Goswamy, R., Raval, Y., & Marawi, S. (2016). Challenges and opportunities of big data in health care: A systematic review. JMIR Medical Informatics, 4(4), 1–12. https://doi.org/10.2196/medinform.5359
Lee, D., de Keizer, N., Lau, F., & Cornet, R. (2014). Literature review of SNOMED CT use. Journal of the American Medical Informatics Association, 21(E2), 11–19. https://doi.org/10.1136/amiajnl-2013-001636
Lena Suryani, D., Sukawan, A., Kusumah, N., Barsasella, D., Ari Wibowo, D., Yudiriantiari, S., Wiyatno, P., & Dini Yunisar, A. (2025). Evaluasi Evaluasi Penerapan SNOMED CT , LOINC dalam FHIR di RSUD Prof.Dr.Margono Soekarjo Purwokerto:-. Kesehatan. https://ejurnal2.poltekkestasikmalaya.ac.id/index.php/jremikes/article/view/720
Nuryati, N., Rokhman, N., & Andriyani, L. R. (2018). Evaluasi Pencapaian Kompetensi Perekam Medis Dan Informasi Kesehatan Di Rumah Sakit Kota Yogyakarta Berdasarkan Metode Self Assessment. Jurnal Kesehatan Vokasional, 3(1), 7. https://doi.org/10.22146/jkesvo.29594
Pusdatin, DTO, K. R. (2023). PANDUAN Translasi SNOMED CT.
Saripalle, R. K. (2020). Leveraging FHIR to Integrate Activity Data with Electronic Health Record. Health and Technology, 10(1), 341–352. https://doi.org/10.1007/S12553-019-00316-5/FIGURES/9
Shivers, J., Amlung, J., Ratanaprayul, N., Rhodes, B., & Biondich, P. (2021). Enhancing narrative clinical guidance with computer-readable artifacts: Authoring FHIR implementation guides based on WHO recommendations. Journal of Biomedical Informatics, 122, 103891. https://doi.org/10.1016/J.JBI.2021.103891
Simanjuntak, E. (2019). Gambaran Pengetahuan Petugas Rekam Medis Terhadap Indikator Pelayanan Rawat Inap di Rumah Sakit Umum Pusat H. Adam Malik Medan Tahun 2019. SINTAKS (Seminar Nasional Teknologi. https://jurnal.uimedan.ac.id/index.php/sintaks/article/view/900
Waithera, L., Muhia, J., & Songole, R. (2017). Impact of Electronic Medical Records on Healthcare Delivery in Kisii Teaching and Referral Hospital. Medical & Clinical Reviews, 03(04). https://doi.org/10.21767/2471-299x.1000062
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ara Noerahmy, Ida Wahyuni
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
