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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Designing a Diagnose Code Prediction System in Order to Support Medical Record Electronic Governance Using AGILE Method |
| Authors Name: | Yuyun Yunengsih , Ajeng Gustiani Pratiwi , Falaah Abdussalaam |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_203775
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| Published Paper Id: | IJNRD2308184 |
| Published In: | Volume 8 Issue 8, August-2023 |
| DOI: | |
| 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. |
| Keywords: | Medical Record Electronic, Information System, AGILE, Primary Health Center, Morbidity Codification and Classification |
| Cite Article: | " Designing a Diagnose Code Prediction System in Order to Support Medical Record Electronic Governance Using AGILE Method", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.b723-b737, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308184.pdf |
| Downloads: | 000118773 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2308184 Registration ID: 203775 Published In: Volume 8 Issue 8, August-2023 DOI (Digital Object Identifier): Page No: b723-b737 Country: Bandung, West Java Province, Indonesia Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2308184 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2308184 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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