Evaluation of The Implementation of The Laboratory Information System Using the Hot Fit Method in Maxima Clinical Laboratory

Abstract

Evaluation of information systems in the health domain goes beyond exclusively technological considerations but also includes evaluation of human and organizational dimensions. The information system evaluation model frequently health used is called HOT-Fit (Human Organization Technology-Fit). This model considers the complex interactions between human, organizational, and technological elements in the context of health information systems. This research aims to analyze the implementation of the Laboratory Information System using the HOT Fit method at the Maxima Clinical Laboratory. The research method used is quantitative with a cross-sectional research design using a survey approach. Research subjects include laboratory managers, laboratory staff, information system users, and patients. Primary data was collected through questionnaires and interviews, while secondary data was obtained from related documents. The data analysis technique used is descriptive analysis and Partial Least Square ( PLS ). The research results show that there is a significant influence between system quality (p-value = 0.041), information quality (p-value = 0.003), service quality (p-value = 0.003), and user satisfaction (p-value = 0.041). Research findings can be used as evaluation and improvement material for laboratory managers to increase the effectiveness and efficiency of health services by optimizing the use of information systems.