Paper Title
Designing a Diagnose Code Prediction System in Order to Support Medical Record Electronic Governance Using AGILE Method
Article Identifiers
Keywords
Medical Record Electronic, Information System, AGILE, Primary Health Center, Morbidity Codification and Classification
Abstract
Build an electronic medical record system that can support health services for the community in the Primary Health Center work region is the goal of this study. The goal of this system is to replace the existing one, which is still largely manual and naturally requires a lot of resources in terms of time, money, and energy. This study's system development methodology techniques employ the AGILE methodology. According to research findings, there are many different types of issues, including 1). Health service activities are not integrated into any system, and medical record activities are manually installed. 2). There is no medical record reporting because the medical record unit is thought to be restricted to simply documenting the health services that patients received also The utilization of medical records and maintaining the quality of medical records cannot be maximized because KLPCM were not carried out. 3). Morbidity Codification and classification are only for referral patients and BPJS users.
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How To Cite (APA)
Yuyun Yunengsih, Ajeng Gustiani Pratiwi, & Falaah Abdussalaam (August-2023). Designing a Diagnose Code Prediction System in Order to Support Medical Record Electronic Governance Using AGILE Method. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), b723-b737. https://ijnrd.org/papers/IJNRD2308184.pdf
Issue
Volume 8 Issue 8, August-2023
Pages : b723-b737
Other Publication Details
Paper Reg. ID: IJNRD_203775
Published Paper Id: IJNRD2308184
Downloads: 000122255
Research Area: Computer Science & TechnologyÂ
Author Type: Foreign Author
Country: Bandung, West Java Province, Indonesia
Published Paper PDF: https://ijnrd.org/papers/IJNRD2308184.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308184
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