Journal of Hospital Administration and Management

ANALYSIS OF THE USE OF THE NATIONAL HEALTH INSURANCE MOBILE APP USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) AT METRO ISLAM HOSPITAL

2026-05-29T14:58:08+00:00

Digital transformation through the Mobile JKN app aims to improve healthcare services, yet getting patients to actually use it remains a challenge. This study uses the Technology Acceptance Model (TAM) to analyze how perceived usefulness, ease of use, and user attitude influence the intention to use the app at Islam Metro Hospital. The research design used in this study is quantitative with a cross-sectional approach. The population consisted of 1,809 Mobile JKN users at Islam Metro Hospital, from which a sample of 328 respondents was selected using a purposive sampling technique. Data were collected via questionnaires distributed to these 328 respondents, followed by validity and reliability tests, and correlation analysis using the Spearman rank test. The research findings indicate a significance value of 0.000 (which is leq 0.05), meaning there is a significant relationship between the three variables perceived usefulness, perceived ease of use, and attitude toward use and the Behavioral Intention to Use the Mobile JKN application at Islam Metro Hospital, leading to the rejection of H0. The correlation coefficients for Perceived Usefulness (r = 0.523) and Perceived Ease of Use (r = 0.551) fall into the moderate category, while attitude toward use (r = 0.723) shows a strong relationship and stands as the most dominant factor. Participants' intention to use the Mobile JKN application is heavily determined by a positive attitude, which is formed by the benefits and ease of use perceived by the users. For future research, it is recommended to include other variables outside the TAM model, such as internet connection quality or facility support factors, considering that there are still influencing factors beyond the variables examined in this study.

Digital Radiology Management System Integration Model for Improving Efficiency and Accuracy of Diagnostic Services

2026-05-20T03:44:32+00:00

The increasing complexity of diagnostic imaging services raises critical questions regarding how digital integration can improve the efficiency and accuracy of radiology management systems. Although digital technologies such as Radiology Information System and Picture Archiving and Communication System have been widely implemented, many healthcare institutions still experience fragmented workflows, reporting delays, and administrative errors. This study aimed to develop an integrated digital radiology management system model to optimize diagnostic service workflows. The research employed a system modeling and evaluation approach involving patient registration, image acquisition, reporting, and diagnostic information distribution processes. The results demonstrated that the implementation of the proposed integration model reduced patient registration time from 12 minutes to 5 minutes (58.3%), shortened image acquisition and transfer time from 18 minutes to 9 minutes (50.0%), and decreased report turnaround time from 45 minutes to 22 minutes (51.1%). Administrative error rates declined from 8.2% to 2.1%, while diagnostic report distribution accuracy increased from 89.4% to 98.7%. These findings indicate that digital system integration significantly enhances operational efficiency and diagnostic accuracy through structured data management and real-time information accessibility. This study concludes that the integration of digital radiology management systems represents a strategic solution for improving effective, accurate, and patient-centered diagnostic healthcare services

ANALYSIS OF THE EFFECT OF REFERRAL HEALTH SERVICE QUALITY IN THE KJSU-KIA PROGRAM (CANCER, CARDIOVASCULAR DISEASE, STROKE, URONEPHROLOGY, MATERNAL AND CHILD HEALTH) ON PATIENT SATISFACTION AT SAWERIGADING REGIONAL GENERAL HOSPITAL USING THE STRUCTURAL EQUATION MODELING (SEM) METHOD

2026-05-20T07:14:21+00:00

This study aims to analyze the effect of referral healthcare service quality in the KJSU-KIA program (Cancer, Cardiovascular Disease, Stroke, Uronephrology, Maternal and Child Health) on patient satisfaction at Sawerigading Regional General Hospital (RSUD Sawerigading Palopo) using the Structural Equation Modeling (SEM) approach. Strengthening referral healthcare services has become one of the national health transformation priorities in Indonesia to improve access, quality, and continuity of healthcare services, particularly for catastrophic and priority diseases. This research employed a quantitative explanatory design with a cross-sectional approach involving 200 patients receiving KJSU-KIA referral services. Data were collected using SERVQUAL-based questionnaires covering five dimensions of service quality: Tangibles, reliability, responsiveness, assurance, and Empathy. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The findings revealed that reliability, responsiveness, and assurance had a significant positive effect on patient satisfaction, while Tangibles and Empathy did not show significant effects. Among all dimensions, responsiveness was identified as the most dominant factor influencing patient satisfaction. The structural model demonstrated strong explanatory power with an R² value of 0.618, indicating that service quality dimensions explained 61.8% of the variance in patient satisfaction. The study concludes that improving responsiveness, reliability, and professional assurance is essential to enhance patient satisfaction in referral healthcare services within the KJSU-KIA program at RSUD Sawerigading Palopo.