Validation of Clinical Information Management System (CLIMS) Conceptual Framework using PLS-SEM Technique

Abstract

This research paper focuses on the validation of Clinical Information Management System (CLIMS) conceptual framework using Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. A questionnaire survey was conducted among a private clinic chain called U.n.i Klinik in targeted area in Malaysia. Total number of 70 participants were part of the survey with 16 clinics were targeted. SPSS was used to analyze the mean and median of sample population, and SmartPLS3 was used to examine the validity and reliability of the framework variables to test the given hypotheses. Two models i.e., the four-variable and six-variable model were extracted from the CLIMS conceptual framework and PLS-SEM technique was applied on four-variable model which consist of CLIMS functions, Maturity factors, Utilization factors, and System Benefit variables, and a six-variable model consisting of CLIMS functions, Maturity factors (People, Process), Utilization factors (TAM2 and Quality Attributes), and System Benefit were examined for validation. Measurements i.e., Cronbach’s Alpha, Composite reliability, Average Variance Extracted (AVE), Path coefficients, R2, T-statistics, and P-values were tested. The six-variable model had better values compared to the four-variable model, thus the six-variable model is the ideal version, yet still further research can be conducted to improve the values.