Performance Evaluation of Electronic Medical Record Systems Using the HOT-Fit Framework (Human, Organization, Technology)
DOI:
https://doi.org/10.69855/rekammedis.v2i2.864Keywords:
Electronic Medical Records, HOT-Fit, System Performance, Health CenterAbstract
Electronic medical record (EMR) systems are essential to digital health transformation, yet their implementation faces human, organizational, and technological challenges. This study aims to evaluate EMR system performance using the HOT-Fit framework and explore user experiences. A qualitative phenomenological study was conducted at Lubuk Buaya Health Center, Padang, involving five informants selected through purposive sampling, including medical personnel, paramedics, and medical records officers. Data were collected through in-depth interviews, participatory observations, and documentation, then analyzed using Miles and Huberman's model. Data validity was ensured through source and method triangulation. The findings revealed that user competence and readiness, organizational policy support and training, and system quality and infrastructure influence EMR implementation. However, limited training and inadequate network infrastructure remain major challenges. The study concludes that EMR system performance is not optimal due to misalignment among the three HOT-Fit components. Continuous training, stronger management support, and improved technological infrastructure are needed to optimize EMR implementation.
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