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

Feby, Erawantini and Arinda, Lironika Suryana and Rinda, Nurul Karimah and Arief, Setyoargo and Nachrul, Jinan and Khoirunnisa, Afandi and Nugroho Setyo Wibowo, Setyo Wibowo and Asmak, Afriliana and Raden, Roro Lia Chairina (2022) 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. In: the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021).

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Abstract

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.

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