Analysis of the Implementation of Hospital Management Information System (HMIS) Using the Human Organization Technology and Net Benefit (HOT-Fit) Model in the Outpatient Service Unit of Teuku Umar Regional General Hospital

Abstract

Background: Hospitals are healthcare institutions with complex operational systems and diverse information outputs. Therefore, the implementation of Hospital Management Information Systems (HMIS) is essential as an information technology system that integrates all service and administrative processes to produce accurate information that supports decision-making. The Indonesian government mandates all hospitals to implement and develop HMIS. However, its implementation still faces various challenges, including at RSUD Teuku Umar. Since its implementation in the outpatient unit in January 2023, no in-depth analysis has been conducted regarding the obstacles encountered during the process.

Objective: This study aims to analyze the implementation of HMIS in the outpatient service unit of RSUD Teuku Umar using the Human Organization Technology Net Benefit (HOT-Fit) model.

Methods: This is a quantitative study with a cross-sectional design. Data were collected using questionnaires distributed to 58 respondents, consisting of management and staff directly involved in HMIS implementation in the outpatient unit. Data analysis was conducted using Structural Equation Modeling-Partial Least Square to examine the significant influence between variables in HMIS implementation.

Results: The findings show that system quality significantly affects user satisfaction, system use, organizational structure, and the benefits of HMIS. Information quality significantly affects both user satisfaction and HMIS benefits. Additionally, user satisfaction and organizational structure significantly influence HMIS benefits, with user satisfaction being the most dominant factor (path coefficient = 0.728; T-statistic = 10.717; p-value = 0.000). System quality and information quality have an indirect effect on SIMRS benefits through user satisfaction.

Conclusion: The implementation of HMIS in the outpatient unit of RSUD Teuku Umar still requires improvement. Efforts for development should focus on enhancing system quality, information quality, and user satisfaction as key factors in increasing the effectiveness and benefits of HMIS.

Conclusion: Elevated levels of TNF-α have been implicated with the presence and histological advancement of CRC. With rising tumor dedifferentiation, TNF-α broadens, which could be associated with a rise in inflammatory and oncogenic signaling in the worst CRC phenotypes. Hence, TNF-α stands as a potential biomarker of tumor grade and therapeutic monitoring, highlighting its role in the pathogenesis of CRC.

Keywords:

HMIS, HOT-Fit, system quality, information quality, user satisfaction, HMIS benefits

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