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Analysis Analysis of The Effect of Hot-Fit Models on Implementation of A Hospital Information System at Palangkaraya City Hospital Astuti, Sri; Adikara, Fransiskus; Pamungkas, Rian Adi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v7i9.14237

Abstract

This research is based on several problems faced by health workers in 2022 before SIRS is implemented and there are plans to implement SIRS in 2023. The aim of this research is to reveal empirically the influence of perceived benefits, quality of information, organizational support and work engagement on the implementation of SIRS. This research is included in quantitative research with a cross-sectional study design, the population used is 30 health workers, the sampling technique uses a saturated sample which makes the entire population as respondents. The analysis method uses the three box method and PLS-SEM with the help of the Smart-PLS program. The results of the analysis conclude that perceived benefits, quality of information and organizational support have a positive and significant effect both simultaneously and partially on the hospital information system, while work engagement has a negative effect on the implementation of the hospital information system.
Systematic Literature Review: Factors Affecting the Quality of Health Data Management Muhammad Reyzaldy Rahim; Sri Astuti
PROMOTOR Vol. 9 No. 4 (2026): AGUSTUS
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/pro.v9i4.2632

Abstract

The quality of health data management is a crucial factor in supporting the effectiveness of healthcare services, clinical decision-making, and improving the quality of care in healthcare facilities. Digital transformation through the implementation of Electronic Medical Records (EMDRs) demands accurate, complete, secure, and integrated health data management. However, various healthcare facilities still face challenges in managing health data, such as limited human resources, technological infrastructure, and the quality of health information systems. This study aims to identify and analyze factors influencing the quality of health data management based on the latest research findings. The research method used a Systematic Literature Review (SLR) approach by examining quantitative journal articles published between 2022 and 2025. Articles were searched through several scientific databases using keywords related to health data management, electronic medical records, health data quality, and health information systems. Articles were selected based on inclusion and exclusion criteria relevant to the research objectives. A total of eight journals that met the criteria were systematically analyzed to obtain a synthesis of the research findings. The review results indicate that the quality of health data management is influenced by several key factors: the quality of the health information system, the implementation of Electronic Medical Records (EMR), human resource competency, completeness of documentation, technological infrastructure, data security, management support, and compliance with standard operating procedures and health regulations. The implementation of digital systems has been proven to improve service efficiency, data accuracy, patient information security, and the effectiveness of clinical decision-making. However, various obstacles remain, such as limited technological facilities, lack of human resource training, and obstacles to adapting to digital transformation. The study concludes that the quality of health data management requires strengthening the integrated aspects of technology, human resources, organization, and regulations. Improving the quality of health data management is expected to support the creation of more effective, efficient, safe, and sustainable health services.