Evaluation Performance Of The Advomed Clinic Management Information System In Data Access Speed And Reporting Accuracy To Support Managerial Decision Making

Abstract - The Advomed Clinical Management Information System (CMIS) is a system that helps clinics work more efficiently, comply with Electronic Medical Records regulations, and provide faster and more affordable services. In the era of digital healthcare in Indonesia, in implementation is often obstruct repetitive and rigid medical data entry, slows transactions that disrupt staff productivity, and complicated and inaccurate transactional and reporting access, which increases patient waiting times and slows managerial decisions. This study demonstrates the effectiveness of the Advomed system using the DeLone & McLean Model, through system log analysis and user surveys in active clinics. Also, data analysis was conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM), the purpose of this research to analyze and identify the root cause of process delay and evaluate the system based on user questionnaires and system logs. And then, this research aims to address obstacles and provide concrete solutions for healthcare facility managerial to support sustainable digital transformation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-02
DOI
https://doi.org/10.5281/zenodo.17791584
Primary Topic
Health, Technology, Consumer Behavior
Type
article
Field-Weighted Citation Impact
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article

Evaluation Performance Of The Advomed Clinic Management Information System In Data Access Speed And Reporting Accuracy To Support Managerial Decision Making

Zenodo (CERN European Organization for Nuclear Research)
Health, Technology, Consumer Behavior
article

Evaluation Performance Of The Advomed Clinic Management Information System In Data Access Speed And Reporting Accuracy To Support Managerial Decision Making

article en

Abstract

Abstract - The Advomed Clinical Management Information System (CMIS) is a system that helps clinics work more efficiently, comply with Electronic Medical Records regulations, and provide faster and more affordable services. In the era of digital healthcare in Indonesia, in implementation is often obstruct repetitive and rigid medical data entry, slows transactions that disrupt staff productivity, and complicated and inaccurate transactional and reporting access, which increases patient waiting times and slows managerial decisions. This study demonstrates the effectiveness of the Advomed system using the DeLone & McLean Model, through system log analysis and user surveys in active clinics. Also, data analysis was conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM), the purpose of this research to analyze and identify the root cause of process delay and evaluate the system based on user questionnaires and system logs. And then, this research aims to address obstacles and provide concrete solutions for healthcare facility managerial to support sustainable digital transformation.

Zenodo (CERN European Organization for Nuclear Research)
Binus University (ID)
Openalex Percentile: Top 35%
Health, Technology, Consumer Behavior
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