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All Journal Jurnal Informasi Kesehatan Indonesia (JIKI) Journal of Public Health Innovation (JPHI)
Widodo, Rulisiana
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Health Professions Nursing Public Health

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Tingkat kepuasan pengguna terhadap pemamfaatan rekam medis elektronik dalam kelengkapan informasi klinis Husni, M. Afif Rijal; Savitri, Dimas Aulia; Widodo, Rulisiana; Cahyani, Putri Regina
Jurnal Inovasi Kesehatan Masyarakat Vol 5 No 2 (2025): Journal of Public Health Innovation (JPHI)
Publisher : Lembaga Penelitian Sekolah Tinggi Ilmu Kesehatan Kuningan Garawangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34305/jphi.v5i2.1523

Abstract

Latar Belakang: Rumah Sakit Umum Anna Medika Madura telah menerapkan rekam medis elektronik, namun pada masa transisi masih ada petugas dan dokter yang belum sepenuhnya memahami atau langsung mengisi data klinis. Penelitian ini mengukur kepuasan pengguna terkait kelengkapan informasi klinis dalam RME.Metode: Deskriptif kualitatif. Populasi dalam penelitian ini adalah pengguna rekam medis elektronik di unit rawat jalan dengan menggunakan accidental sampling. Sampel dalam penelitian ini sebanyak 33 responden.Hasil: Hasil Uji Validitas dengan r-tabel sebesar 0,308 dapat dinyatakan bahwa semua pertanyaan dalam kuesioner valid. Hasil Uji Reliabilitas dengan nilai ɑ sebesar 0,60 dapat dinyatakan bahwa semua variabel dalam penelitian ini reliabel/konsisten. Hasil Uji Determinasi menunjukkan R2 sebesar 0,645 jika dibandingkan dengan tabel interpretasi koefisien korelasi, nilai tersebut berada pada interval 0,41-0,70 yang memiliki pengaruh terhadap kepuasan pengguna. Hasil Uji T menunjukkan bahwa 4 variabel tidak berpengaruh terhadap variabel dependen. Sedangkan 1 variabel yaitu Akurasi dinyatakan berpengaruh terhadap variabel dependen.Kesimpulan: Kepuasan pengguna rekam medis elektronik di RSU Anna Medika Madura terutama dipengaruhi oleh akurasi informasi klinis. Peningkatan akurasi data perlu menjadi prioritas untuk mendukung kelengkapan informasi
PENGEMBANGAN MODEL PEMBELAJARAN INTERAKTIF BERBASIS CHATBOT UNTUK MENINGKATKAN PEMAHAMAN KODEFIKASI DIAGNOSA PADA MAHASISWA REKAM MEDIS: PENGEMBANGAN MODEL PEMBELAJARAN INTERAKTIF BERBASIS CHATBOT UNTUK MENINGKATKAN PEMAHAMAN KODEFIKASI DIAGNOSA PADA MAHASISWA REKAM MEDIS Widodo, Rulisiana
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Health Information Management (HIM) students are required to possess a high level of competence in understanding and applying disease and procedure coding based on ICD-10 and ICD-9-CM. However, conventional learning methods that are less engaging and unresponsive have resulted in limited understanding of the correct coding logic among students. This study aims to develop a chatbot-based learning model as an innovation to enhance students’ comprehension of diagnosis coding. The research employed a Research and Development (R&D) approach using the ADDIE model to produce an interactive and effective chatbot-based learning system for improving diagnostic coding skills. The study population consisted of 37 fifth-semester HIM students who had completed the Diagnosis Coding course. Data were collected through observation, interviews, questionnaires, and pretest–posttest assessments. The research instruments included media and material validation questionnaires based on learning media development standards, as well as a conceptual understanding test that had been tested for validity and reliability. Data were analyzed descriptively, both quantitatively and qualitatively, by comparing students’ performance before and after using the chatbot to assess its effectiveness. The media validation results showed a feasibility score of 91% (very feasible), and the material validation reached 89% (feasible). The average pretest score of 63.2 increased to 84.7 in the posttest after learning with the chatbot. Furthermore, 92% of students responded positively to the media, finding it engaging, easy to use, and helpful in understanding diagnostic coding. The chatbot-based learning model proved effective in enhancing students’ comprehension of diagnostic coding and has the potential to serve as an adaptive digital learning innovation in the era of health information system transformation .
Co-Authors Cahyani, Putri Regina Husni, M. Afif Rijal Savitri, Dimas Aulia