Design Clinical Decision Support System (CDSS) in Electronic Health Record to Early Detection of Stroke Disease, Diabetes Mellitus and to Prevent Interaction of Drug Content
- https://doi.org/10.2991/assehr.k.220207.054How to use a DOI?
- Design; Clinical Decision Support System; Electronic Health Record
Hospitals must provide the best service to patients. There are include speed in service, on-time, and safe from medical errors. Quality of care depends on quality electronic medical records. Electronic medical records contain social data and patient medical data. The advantages of medical records are data stored in structured files, and timely filling, data can be recalled at any time, ensures patient confidentiality, and ensures patient safety. One of the indicators of electronic health records is clinical decision support systems (CDSS). This study aims to design a clinical decision support system (CDSS) in Electronic Health Records for early detection of stroke disease and to prevent interaction drug content. The method Methode for System Development used Waterfall and System Requirements Analysis was analysed by qualitative. The results of this research are to design a clinical decision support system (CDSS) in Electronic Health Records to early detection of stroke disease and to prevent interaction drug content.
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
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Cite this article
TY - CONF AU - Feby Erawantini AU - Arinda Lironika Suryana AU - Rinda Nurul Karimah AU - Arief Setyoargo AU - Nachrul Jinan AU - Khoirunnisa Afandi AU - Nugroho Setyo Wibowo AU - Asmak Afriliana AU - Raden Roro Lia Chairina PY - 2022 DA - 2022/02/17 TI - Design Clinical Decision Support System (CDSS) in Electronic Health Record to Early Detection of Stroke Disease, Diabetes Mellitus and to Prevent Interaction of Drug Content BT - Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021) PB - Atlantis Press SP - 307 EP - 310 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220207.054 DO - https://doi.org/10.2991/assehr.k.220207.054 ID - Erawantini2022 ER -