Assessing the Performance, Information Accuracy, and Data Security of Electronic Medical Records in Patient Registration at Indonesian Public Health Center

X Public Health Center implemented Electronic Medical Record (EMR) at the beginning of 2024 to replace the previously used SIMPUS system. The EMR was applied across all service units, including the registration unit. However, the EMR Registration Module faced several issues, such as the lack of integration with SIMPUS for retrieving existing patient data, the inability to generate accurate patient visit information, and the editable nature of medical record numbers. This study aims to evaluate the EMR Registration Module based on three variables: performance, information accuracy, and data security. A qualitative research approach was employed, with data collected through in-depth interviews, observations, and documentation. The research informants were EMR Registration Module users at Public Health Center X. The data were analyzed through data reduction, data presentation, and conclusion drawing. Source, methodological, and time triangulation were applied to ensure data validity. The findings revealed that the EMR's performance remained suboptimal due to its inability to automatically generate medical record numbers and the use of metadata that did not comply with government standards. Furthermore, the EMR had not produced accurate information and lacked robust data security, although no patient data breaches had been reported. Therefore, it is recommended that the health center further develop the EMR Registration Module by adding essential user-required features and enhancing its performance, information accuracy, and data security.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-03
DOI
https://doi.org/10.1051/bioconf/202519300039/pdf
Primary Topic
Electronic Health Records Systems
Type
article
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article

Assessing the Performance, Information Accuracy, and Data Security of Electronic Medical Records in Patient Registration at Indonesian Public Health Center

Selvia Juwita Swari, Maya Weka Santi, Alfhi Umayah, Mochammad Choirur Roziqin et al.
Springer Link (Chiba Institute of Technology)
Electronic Health Records Systems
article

Assessing the Performance, Information Accuracy, and Data Security of Electronic Medical Records in Patient Registration at Indonesian Public Health Center

Selvia Juwita Swari, Maya Weka Santi, Alfhi Umayah, Mochammad Choirur Roziqin, Gamasiano Alfiansyah, Indah Muflihatin
article en

Abstract

X Public Health Center implemented Electronic Medical Record (EMR) at the beginning of 2024 to replace the previously used SIMPUS system. The EMR was applied across all service units, including the registration unit. However, the EMR Registration Module faced several issues, such as the lack of integration with SIMPUS for retrieving existing patient data, the inability to generate accurate patient visit information, and the editable nature of medical record numbers. This study aims to evaluate the EMR Registration Module based on three variables: performance, information accuracy, and data security. A qualitative research approach was employed, with data collected through in-depth interviews, observations, and documentation. The research informants were EMR Registration Module users at Public Health Center X. The data were analyzed through data reduction, data presentation, and conclusion drawing. Source, methodological, and time triangulation were applied to ensure data validity. The findings revealed that the EMR's performance remained suboptimal due to its inability to automatically generate medical record numbers and the use of metadata that did not comply with government standards. Furthermore, the EMR had not produced accurate information and lacked robust data security, although no patient data breaches had been reported. Therefore, it is recommended that the health center further develop the EMR Registration Module by adding essential user-required features and enhancing its performance, information accuracy, and data security.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 18%
Electronic Health Records Systems
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