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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.

Examinations in radiology installations have increased annually, resulting in a higher risk of radiation hazards to staff, particularly in interventional, conventional X-ray, and CT-Scan environments. Furthermore, not all hospitals are equipped with radiation survey meter monitoring devices. Therefore, an innovative radiation exposure monitoring system based on the Internet of Things (IoT) was developed. This study aims to: (1) develop an IoT-based radiation exposure monitoring system, (2) evaluate the device’s performance, and (3) assess the effectiveness of the system. The research method used was research and development (R&D), which included preliminary information gathering, product planning and development, expert validation, device performance testing, effectiveness testing, and final outcomes. This system was developed for real-time radiation dose monitoring.  The product development involved a Geiger-Muller M4011, an ESP32 microcontroller, and a Node-Red web application. Performance testing of the IoT-based radiation exposure monitoring device and a standard survey meter in CT-Scan and conventional X-ray rooms used the T-Test and Mann-Whitney tests. The results showed p-values > 0.05, indicating no significant difference between the two devices. Effectiveness testing through pre-test and post-test questionnaires demonstrated improved usability—namely flexibility, operability, learnability, and understandability—with an N-Gain value of 78.95%, indicating effectiveness. In conclusion, the IoT-based radiation exposure monitoring system proved effective and feasible for real-time radiation dose monitoring in radiology installations, offering advantages in IoT-based data integration, ease of access, and structured data recording. In addition to performance testing, the system was evaluated in terms of its integration with hospital infrastructure. It was designed to provide real-time radiation dose monitoring, automatically updating the dose data and sending alerts when safe exposure levels are exceeded. The system also enables remote monitoring, making it easier for radiology departments to oversee radiation safety without the need for direct physical checks.

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.

This study aims to systematically examine the influence of transformational leadership and organizational culture on nurses' performance in hospitals. The method used is a Systematic Literature Review (SLR) with a qualitative approach. The findings indicate that transformational leadership has a significant impact on improving nurses’ performance, particularly through enhanced work motivation, job satisfaction, loyalty, and team effectiveness. Transformational leaders inspire nurses by providing a vision, encouraging innovation, and fostering a supportive environment that aligns with their values and goals. As a result, nurses exhibit increased commitment to their work, higher engagement levels, and a proactive attitude toward their tasks, leading to better overall performance. Organizational culture also plays a crucial role, especially values such as collaboration, human orientation, and integrity, which have been shown to support a positive work environment and nurse productivity. A culture that prioritizes teamwork, shared responsibility, and mutual respect enables nurses to work more cohesively and efficiently. Hospitals with a supportive and inclusive culture experience reduced turnover rates and higher job satisfaction, as nurses feel valued and respected within the organization. Additionally, when the culture encourages continuous learning and professional development, nurses are more likely to stay updated on best practices and provide high-quality care to patients. However, differences in findings across studies suggest the need for contextual understanding and consistent internalization of cultural values. Factors such as geographical location, hospital size, and leadership styles may influence the degree of impact that transformational leadership and organizational culture have on nurse performance. Therefore, it is essential to adapt leadership strategies and cultural initiatives to the unique needs and challenges of each healthcare setting.

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.