E-Government for improving healthcare service quality in hospitals around Central Java

Digital technology has been developed in the healthcare industry. The Healthcare Management Information System (HMIS) is one example of a technology-driven healthcare solution. This study adopted a quantitative cross-sectional design with Partial Least Squares Structural Equation Modeling (PLS-SEM) for the data analysis. The subjects of this study included health workers using HMIS. The data were collected through quantitative questionnaires distributed offline and online via Google Forms. The sampling technique used was probability sampling, specifically a disproportional random sampling technique. This technique involved simple random selection across strata without proportional representation. The result indicated that Information Quality (IQ) has the greatest influence on Perceived Usefulness (PU), with an original sample of 0.193, while Service Quality (SQY) has the greatest influence on Perceived Ease of Use (PEU), with an original sample of 0.183. PU and PEU have a significant positive impact on Attitude toward Use (ATU). ATU strongly influences Behavioral Intention to use (BIU), which subsequently impacts Actual Use (AU). Through PU and PEU, HMIS users at hospitals in Central Java experience a positive influence on their attitudes toward using HMIS. The ATU positively influences BIU, impacting users' decisions to incorporate HMIS into their daily work.