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The implementation of Hospital Management Information Systems (HMIS) has become a strategic imperative to enhance operational efficiency amidst the ongoing global digital health transformation era. This study aims to analyze the determinants of successful HMIS implementation and its impact on service efficiency and patient outcome quality. Employing a narrative review approach with thematic synthesis of literature from PubMed, Scopus, and ScienceDirect databases between 2016-2026, the study evaluates the relationship between technology investment and organizational performance. The synthesis results indicate that while HMIS significantly reduces administrative burdens and medication errors, a "digital paradox" exists where technical efficiency may disrupt interpersonal interactions between healthcare providers and patients if systems are not user-centered. Key success factors include data interoperability (HL7/FHIR standards), human resource readiness, and governance policy support. This study concludes that a patient-centered efficiency model is the fundamental basis for ensuring technology investments yield sustainable added value within the healthcare delivery system.

Nursing documentation is an essential part of healthcare services, playing a key role in communication, care continuity, and serving as legal evidence. The introduction of the Hospital Management Information System (SIMRS) aims to improve the efficiency of documentation processes. However, high workloads in critical areas such as the Emergency Department (IGD) and Intensive Care Unit (ICU) may influence nurse compliance with documentation protocols. This study investigates the relationship between workload and nursing documentation compliance during the implementation of SIMRS at RSUD Haji Makassar's IGD and ICU. A quantitative cross-sectional design was used, with 30 nurses participating (total sampling). The workload was assessed using the NASA Task Load Index (NASA-TLX), while compliance was evaluated through a questionnaire. The data were analyzed using Chi-Square and Fisher’s Exact Test. The results showed that the majority of respondents experienced heavy workloads (83.3%), and most had compliant documentation (96.7%). However, the statistical analysis yielded a p-value of 1.000, indicating no significant relationship between workload and documentation compliance. Based on these findings, the study recommends optimizing SIMRS usage and providing ongoing training to ensure improved compliance with nursing documentation practices.

This study investigates the optimization of claims under the Indonesian Case-Based Groups (INA-CBGs) payment mechanism within the National Health Insurance Program (Jaminan Kesehatan Nasional) at Hospital X in Serang. The research aims to analyze the influence of managerial competence, digital adoption, and organizational behavior on claim effectiveness, with policy implementation serving as a moderating variable. Employing a quantitative explanatory approach, data were collected from 144 respondents comprising management staff, casemix teams, and medical record officers through questionnaires and structured interviews. Structural Equation Modeling–Partial Least Square (SEM-PLS) was applied to examine the relationships among variables. Findings reveal that managerial competence, digital adoption, and organizational behavior significantly and positively affect the optimization of INA-CBGs claims. Furthermore, the implementation of the National Health Insurance Program policy strengthens these relationships, enhancing claim efficiency and equity. The results align with the Resource-Based View theory, highlighting the strategic role of internal resources in achieving organizational performance. Managerial implications include capacity building for managers, integration of hospital information systems (SIMRS) with e-Claim platforms, and fostering collaborative organizational culture. Overall, the study underscores the importance of managerial, technological, and behavioral factors, moderated by policy implementation, in improving hospital claim optimization under the INA-CBGs system.