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All Journal Jurnal Manajemen Kesehatan Indonesia Jurnal Informasi Kesehatan Indonesia (JIKI) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Produk Pengabdian Masyarakat Indonesia
Zein, Eiska Rohmania
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Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Other

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ANALISIS FAKTOR-FAKTOR KETIDAKAKURATAN KODEFIKASI EXTERNAL CAUSE PADA DOKUMEN REKAM MEDIS RAWAT INAP PASIEN BPJS DI RUMAH SAKIT ISLAM AISYIYAH MALANG Zein, Eiska Rohmania
Jurnal Informasi Kesehatan Indonesia (JIKI) Vol. 11 No. 2 (2025): Jurnal Informasi Kesehatan Indonesia
Publisher : Politeknik Kesehatan Kemenkes Malang

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Abstract

Hospitals must ensure accurate medical records to support BPJS claims. External cause coding classifies causes ofinjuries or illnesses, yet inaccuracies remain. These errors affect claims, data analysis, and service quality. At Aisyiyah Islamic Hospital Malang, 75% of external cause codes were inaccurate. This study investigates the factors contributingto these inaccuracies. This research method will use mixed methods that combine quantitative methods for percentageinaccuracy and qualitative to obtain a comprehensive understanding of the inaccuracy factors of external causecodification in the medical record documents of BPJS patients at Aisyiyah Islamic Hospital Malang. It is known from 53data that 11 medical files or 21% of the data have accurate external cause diagnosis codification, and 42 medical record files or 79% of the data have inaccurate external cause diagnosis codification. There are still many injuries diagnosed by inpatient BPJS patients at RSI Aisyiyah Malang that are not written by officers, especially in the writing of the activistcode and its classification. The factors that cause inaccuracy of external cause codification in the medical record documents of BPJS patients at RSI Aisyiyah Malang consist of 5M, namely man, machine, method, material, and money. The main factor that causes inaccuracies is the lack of complete chronological documentation from the patient, the patient or family is incomplete, making it difficult for the officer to choose the appropriate external cause code. In addition, the lack of ongoing training related to ICD-10 also contributes to errors.
Qualitative Study on Data Integration Challenges for Implementing CRM in Health Promotion at Indonesian Primary Health Care Wijaya, Avid; Zein, Eiska Rohmania; Caesar Putra, Muhammad Dudayev; Rusdi, Achmad Jaelani; Sangkot, Hartaty Sarma
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5616

Abstract

Primary health care (PHC) is increasingly required to implement targeted, adaptive, and evidence-based health promotion in line with the growth of digital health technologies. Nevertheless, the utilization of routine medical record data as a foundation for Customer Relationship Management (CRM) to support health promotion in PHC remains limited. Key constraints include fragmented information systems, high data processing burdens, and restricted analytic capacity. This study aimed to explore existing practices, barriers, and system development needs related to medical record based CRM to strengthen data-driven health promotion, with particular attention to data integration. A qualitative exploratory study was conducted in 2025 at PHC Wagir, Malang District, Indonesia. Data were obtained through semi-structured in-depth interviews with two key informants: a health promotion officer and a medical record and health information (RMIK) officer. Thematic analysis focused on five domains: current systems, use of data in PHC programs, challenges in data provision and utilization, information system requirements, and expectations for system development. The findings indicate that health promotion data are dispersed across multiple non-integrated applications, leading to double data entry, spreadsheet-based reprocessing, limited filtering, and minimal trend analysis or target segmentation. System instability and limited human resources further constrain analytic use. Informants emphasized the need for an integrated “single window” system featuring automated summaries, flexible filtering, disease trend visualization, multiuser access, and cross program integration. This study advances informatics in public health by proposing a socio technical framework for data-driven CRM implementation in resource limited primary care settings.
Co-Authors ACHMAD JAELANI RUSDI Akbar, Prima Soultoni Alvionita , Chyntia Vicky Alvionita, Chyntia Vicky badrisya, afrina ainura Bernadus Rudy Sunindya Caesar Putra, Muhammad Dudayev Endang Sri Dewi Hastuti Suryandari Gunawan Gunawan Mujizah, Ahfil Sangkot, Hartaty Sarma Syajidah, Almira Maryam