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Managing Regional Public Service Agency (Badan Layanan Umum Daerah/BLUD) hospitals requires planning and budgeting processes that are accountable, measurable, and aligned with service performance. In practice, BLUD planning is still constrained by fragmented applications (hospital information system/SIMRS, finance, human resources, e-office, and procurement), duplicate data entry, approval delays, and limited monitoring of process compliance. This study aims to analyze requirements and design a web-based BLUD planning information system using an Enterprise Application Integration (EAI) approach through middleware to improve cross-system interoperability, data consistency, and the timeliness of executive reporting. The study adopts the Design Science Research (DSR) framework, comprising problem identification, definition of solution objectives, artifact design and development, demonstration, evaluation, and communication/report writing. The proposed system includes a unit-based budget proposal module and item management, a role-based approval workflow (RBAC) with SLA tracking, a budget ceiling (pagu) master to benchmark proposals, audit trails and report exports, and an executive dashboard integrating budget perspectives, service indicators (e.g., bed occupancy rate/BOR and patient visits), and process compliance. It also provides an integration design via middleware (ESB/message broker) supported by a canonical data model (CDM) and traceable logging (trace_id/correlation_id). Evaluation using black-box testing and API contract testing indicates that the main planning workflow operates as intended and the integration interfaces are consistently defined, providing a foundation for staged implementation and further performance evaluation.

Digital transformation in the health sector requires hospitals to improve service effectiveness through the use of Hospital Management Information Systems (HMIS). Berkah Pandeglang Regional General Hospital, as a regional hospital, still faces challenges in utilizing HMIS, such as limitations in infrastructure and user competence. This study aims to analyze the effect of SIMRS implementation and evaluation on the effectiveness of healthcare services. The research method uses a quantitative approach with a descriptive-verificative design. The research population consists of 278 healthcare workers, and 74 respondents were selected using proportionate stratified random sampling. Data were collected through closed questionnaires and analyzed using multiple linear regression to test the influence of variables. The results of the analysis show that the implementation and evaluation of SIMRS have a positive and significant effect on the effectiveness of health worker services. The most dominant components in implementation are the availability of hardware and human resource competence, while in evaluation, the most decisive aspects are the perception of usefulness and ease of use of the system. The conclusion of this study confirms that the success of SIMRS depends on the synergy between optimal implementation and systematic evaluation. Improvements in technological facilities, user training, and periodic monitoring are recommended to strengthen the effectiveness of health worker services at Berkah Pandeglang Regional General Hospital.

The Hospital Management Information Sistem (SIMRS) is a key component in the digital transformation of healthcare services, aiming to enhance efficiency and service quality. This study evaluates the implementation of SIMRS at Mutiara Bunda Mother and Child Hospital and explores the challenges and opportunities for improvement. A qualitative case study approach was employed, with data collected through in-depth interviews, observations, and document reviews involving five key informants, including the medical records head, medical service manager, registration officers, and IT staff. The results show that the SIMRS covers registration, procedure input, laboratory, and pharmacy functions. However, issues such as delayed data entry by medical staff, limited equipment, lack of integration across service units, and absence of written user guidelines and regular training persist. The study concludes that although the SIMRS is in use at RSIA Mutiara Bunda, sistem optimization, staff capacity building, and stronger managerial support are crucial to fully realize its potential in improving service quality.

Long outpatient waiting time is an indicator of suboptimal hospital administrative systems. The Hospital Management Information System (SIMRS) is designed to improve administrative efficiency; however, in practice, complaints about long patient waiting time still persist. This study aims to examine the relationship between the registration administrative system using SIMRS and the waiting time for outpatient services at RS Patria IKKT in 2025. A quantitative approach with a cross-sectional analytical design was employed. The sample consisted of 100 outpatient respondents selected using purposive sampling. Data were collected through questionnaires and analyzed using the Chi-Square test and Spearman correlation to determine the relationship between variables. The results show that the system quality, information quality, and service quality of SIMRS at RS Patria IKKT are categorized as good. Spearman correlation analysis reveals no significant relationship between system quality (p=0.281) and information quality (p=0.910) to waiting time. However, the Chi-Square test indicats a significant relationship between service quality (p=0.001) and outpatient waiting time. The implementation of SIMRS at RS Patria IKKT contributes to accelerating administrative processes and reducing outpatient waiting time. Nevertheless, improvements in service quality are necessary to achieve more optimal results.

The evaluation of information systems becomes important to ensure the effectiveness of the Hospital Information System (SIMRS) application and its positive impact in producing information that meets the standards of data quality with the HOT fit theory, which includes the core elements of the information system: human, organization, Technology and net benefits. The research was conducted using a cross-sectional design and involved 78 SIMRS users in X Hospital as the sample. Data were analysed using the partial least squares (PLS) structural equation modelling (SEM) method. The results of the study showed that user satisfaction, information quality, service quality, system quality, organizational environment, system utilization level, and organizational structure had significant relationships with SIMRS based on hypothesis testing. The significant findings included user satisfaction, net benefits, system utilization, service quality, system quality, organizational environment, and information quality. This study emphasizes the importance of routine and periodic maintenance, monitoring of SIMRS by relevant units, attention to factors influencing SIMRS adoption by users, and regular training related to the operation of the SIMRS application. Efforts to improve operational skills in the aspects of system quality, information quality, service quality, organizational structure, and organizational environment of SIMRS are crucial to optimize the net benefits generated by SIMRS.

This study aims to analyze the performance of the Hospital Management Information System SIMRS in the pharmacy unit of RSU Fitri Candra Wonogiri using the HOTFIT model approach. The HOT-FIT model is an evaluation framework that includes four main aspects, namely Human (system users), Organization (organizational support and policies), Technology (system and information quality), and Net Benefit (benefits obtained from system use). This study uses a quantitative method with Structural Equation Modeling data analysis techniques based on Partial Least Square (SEM-PLS), which allows for simultaneous analysis of relationships between variables. Data were obtained from 61 respondents who are SIMRS users in the pharmacy department, through the distribution of Likert-based questionnaires. The results of the analysis show that the four independent variables Human, Organization, Technology, and Net Benefit have a positive and significant effect on SIMRS performance. The Adjusted R-Square value of 0.902 indicates that the model is able to explain 90.2 of the variability in system performance. Empirical findings in the field indicate that the implementation of SIMRS has had a tangible impact on improving work efficiency, accelerating the pharmaceutical service process, and supporting decision-making based on accurate and up-to-date data. Furthermore, active user involvement, managerial support, and the quality of the information technology system are crucial factors in supporting the system's successful implementation. This study confirms that the success of SIMRS depends not only on its technological sophistication but also on strong integration between human and organizational aspects and the resulting benefits. Therefore, a holistic approach to information system evaluation and development is crucial for improving the quality of healthcare services in hospitals.

Advances in science and technology have significantly improved and facilitated the work of health professionals. One example is the transition from manual medical records to Electronic Medical Records (EMDR). At Mitra Sejati Hospital, the implementation of EMR still uses manual and electronic methods, so it is not in accordance with the Minister of Health Regulation Number 24 in 2022. This study aims to analyze the implementation of EMR in the mitra sejati hospital on the regulation. The research method used is descriptive qualitative, with observations made using checklist sheets to evaluate the SIMRS application. The research subjects included doctors, nurses, radiology, IT officers, and medical record officers, each represented by one participant. The results of the study showed that the implementation of EMR at Mitra Sejati Hospital was in accordance with the Minister of Health Regulation Number 24 in 2022 about filling in clinical information, inputting financing claim data, and storing EMR. However, the implementation of patient registration, EMR data distribution, information processing, quality assurance, and transfer of EMR contents were not fully in accordance. This discrepancy indicates that the implementation of EMR in the hospital was not fully in accordance with the regulations. To address this gap, special efforts are needed to improve technical systems and staff training, so that it can ensure full compliance with regulations and optimize the function of the EMR.

The implementation of Hospital Management Information Systems (SIMRS) has become a strategic necessity to improve healthcare service quality and operational efficiency. This study focuses on evaluating the performance of SIMRS in the outpatient registration unit of Nur Hidayah Hospital Bantul, where system disruptions, inconsistent SOP application, and limited user training were identified as core issues. The research aims to assess how well the SIMRS aligns with the Human, Organization, and Technology components through the HOT-Fit model framework. A descriptive qualitative method was employed using purposive sampling to select five informants directly involved in SIMRS operations, including registration officers, IT staff, and the head of the medical records unit. Data were collected through in-depth interviews, direct observation, and documentation, and analyzed thematically based on the HOT-Fit model. The findings show that SIMRS contributes positively to workflow efficiency and data management; however, human factors such as inconsistent training and input errors remain prevalent. Organizational support is visible but lacks structured evaluation routines, and although the technological infrastructure is generally stable, peripheral device and network issues persist. The study synthesizes that effective SIMRS performance requires not only technological readiness but also consistent organizational commitment and continuous human resource development. It concludes that strengthening user competence, formalizing SOP usage, and improving infrastructure are essential to optimize the system's functionality and alignment with the HOT-Fit model.

The adoption of Hospital Information Systems (HIS) is a crucial step toward improving healthcare service delivery, especially in public hospitals in developing countries. RSUD Prof. Dr. H. Aloei Saboe, a referral hospital in Gorontalo, Indonesia, has implemented the SIMRS Khanza system to digitize inpatient registration and medical documentation. However, limited evaluation has been conducted to assess its effectiveness beyond technical performance. This study aims to evaluate the implementation of SIMRS Khanza using the Human-Organization-Technology Fit (HOT-Fit) framework, which examines the alignment between users, institutional support, and system quality. A qualitative descriptive method was employed, involving in-depth interviews, non-participatory observations, and document reviews with eight informants, including medical record officers, system coordinators, and hospital management. The findings reveal that although most users reported improved efficiency and satisfaction, several issues persist: incomplete training, limited adherence to SOPs, and system performance lags during peak hours. Organizational support was present but inconsistent, and documentation policies lacked specificity for digital contexts. Technologically, the system demonstrated stable output, but responsiveness and integration require enhancement. The synthesis of findings suggests that success in HIS implementation is contingent upon not only system reliability but also continuous user engagement, structured training, and dynamic policy support. Therefore, a holistic strategy integrating human, organizational, and technological components is essential to optimize SIMRS performance and sustainability.

process standardization, and system optimization. The study concludes that the HOT-FIT model is This study evaluates the performance of the outpatient registration information system at RSUD Komodo using the Human-Organization-Technology Fit (HOT-FIT) framework. Hospital Information Systems, particularly in the outpatient registration process, are crucial for supporting service efficiency and data accuracy. However, RSUD Komodo has experienced several challenges in the implementation of its SIMRS module, including system slowdowns, sudden monitor failures, and unstable internet connectivity during service hours. These issues hinder operational effectiveness and risk compromising service quality. The objective of this research is to assess system performance comprehensively across human, organizational, and technological dimensions. A qualitative descriptive design was employed, involving in-depth interviews with five key informants: registration staff, IT personnel, coder, head of the medical records unit, and head of the casemix team. The findings show that in the human dimension, users lacked sufficient training and adaptation strategies. In the organizational aspect, weak coordination and the absence of standardized procedures were identified. In the technology dimension, hardware malfunctions and slow system performance significantly disrupted services. These interconnected issues reveal the need for capacity buildingan effective tool for evaluating hospital information systems, offering a structured approach to identifying and resolving performance gaps in outpatient service modules.

The computer-based Hospital Management Information System (SIMRS) is a tool that supports and plays an important role in managing hospital operations. In the SIMRS regulations regulated in the Minister of Health of the Republic of Indonesia Regulation Number 82 of 2013 article 2, the aim of the SIMRS regulations is stated, namely, to improve efficiency, effectiveness, professionalism, performance, as well as hospital access and services. The participation of nurses in providing good hospital services will determine the success of health services. This research aims to determine the relationship between the implementation of the Hospital Management Information System and the performance of nurses at the Sultan Agung Islamic Hospital, Semarang. This research uses quantitative research with a cross-sectional approach. Data collection used a questionnaire using 100 respondents. This research uses a total sampling technique and is processed statistically with the correlation test used in this research, namely the chi square test. So from the chi square test of Hospital Management Information System (SIMRS) data with nurse performance, a p value of 0.000 (<0.05) was obtained, which shows that Ha is accepted or there is a fairly strong relationship and closeness (0.468) and the direction of the relationship is positive. There is a relationship between the implementation of the Hospital Management Information System and Nurse Performance.  

Hospitals worldwide are increasingly concerned about the performance of outpatient services, which contribute significantly to their revenue and are projected to surpass inpatient services in importance. As the demand for medical care continues to grow, outpatient services could generate even greater financial returns for hospitals. This study aims to evaluate patient service wait times at Stella Maris Hospital Makassar's outpatient department using the lean methodology. A mixed-methods approach was employed, involving the measurement of wait times for 100 patients and interviews with eight informants, including the head of the outpatient department (1 person), admission officers (3 individuals), the hospital director (1 person), and nurses (3 individuals). The interview data were analyzed through processes of data reduction, visualization, and conclusion formulation. A patient care process flowchart was created to assess data quality. Findings indicate the absence of an integrated hospital information system (SIMRS), leading to issues such as long queues at the pick-up counter, delays in doctor availability, and inefficiencies in order processing. Recommendations include integrating SIMRS across the hospital, implementing system improvements, and quantifying outcomes for effective decision-making.