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All Journal Jurnal Manajemen Kesehatan Indonesia Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Rekam Medis dan Informasi Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) JOURNAL SCIENTIFIC OF MANDALIKA (JSM) J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Jurnal Pengabdian Masyarakat Lentora International Journal of Healthcare and Information Technology Jurnal Rekam Medis dan Informasi Kesehatan Indonesia
Asharul Fahyudi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Nursing Physics Public Health Other

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Prototype of EMR Information System for Primary Clinics According to Health Big Data Needs Nina Dwi Astuti; Setya Wijayanta; Asharul Fahyudi; Indah Naryanti
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 7 No. 2 (2024): OKTOBER 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v7i2.12115

Abstract

Digital Health Transformation requires health facilities to develop Electronic Medical Records (EMR) according to predetermined data standards. This research aims to develop a prototype of the Semarang Ministry of Health Polytechnic Primary Clinic RME which can be integrated with the SATUSEHAT portal. The EMR Primary Clinic prototype is prepared by analyzing system needs and designing prototypes to build a prototype. The subjects of the study were doctors, dentists, and administrative officers. The object of the study was the EMR Primary Clinic of Health Polytechnic of Semarang. The prototype results are compiled simple design but can include standard interoperability of data.  Registration data includes all data standards in KMK 1423 of 2022. The EMR prototype can record all the clinical data and administrative data needed in the EMR. The test results show that this EMR prototype can accommodate the needs of primary care clinics and meet the data standards set by "SATUSEHAT". The implementation of this system is expected to facilitate the improvement of the quality of health services in primary clinics, as well as support efforts to integrate national health data more effectively and efficiently. This research also provides recommendations for further development to improve the functionality and interoperability of the system in the future
Analisis Tingkat Literasi Digital Petugas Puskesmas dan Implikasinya Terhadap Efektivitas Layanan Kesehatan Primer Asharul Fahyudi; Meilinda Asrining Hapsari; Nina Dwi Astuti; Retnowati
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 8 No. 2 (2025): OKTOBER 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v8i2.13868

Abstract

The advancement of information technology requires primary health care centers (Puskesmas) to adopt digital systems, including electronic medical records. However, the low level of digital literacy among health workers remains a challenge in delivering effective services. This study aimed to analyze the digital literacy level of Puskesmas staff and its implications for the quality of primary health care. A mixed-method cross-sectional design was applied, combining quantitative surveys and qualitative interviews with health workers and Puskesmas heads. The findings revealed significant associations between respondents’ characteristics and digital literacy. Age showed a moderate to strong positive correlation (rs = 0.593; p < 0.001), while education demonstrated a significant negative correlation (rs = -0.413; p = 0.019). Work experience and professional background were not significantly related, whereas access to digital technology and the internet was relatively uniform. Digital literacy was more influenced by age and generational factors, with Generation Z achieving the highest scores, Generation Y dominant at mid-to-high levels, and Generation X tending toward moderate scores.
Co-Authors Arief Azhari Ilyas Astuti, Nina Dwi Elise Garmelia Eliyah Eliyah Golo, Zefan Adiputra Ida Sugiarti Indah Naryanti Meilinda Asrining Hapsari Naryanti, Indah Nina Dwi Astuti Oki Setiono Retnowati Setya Wijayanta Setya Wijayanta Setya Wijayanta Shafira Berlian Tabroni Siti Masrochah Sukawan, Ari Sylvia Anjani Titi Santika Zefan Adiputra Golo