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Patient satisfaction is a key indicator of health service quality in the National Health Insurance era. Outpatient services for BPJS members still face problems regarding waiting time, communication, and facilities. This study aimed to analyze factors affecting BPJS patient satisfaction with outpatient service quality at Malahayati Islamic Hospital Medan in 2026. A cross-sectional analytic design was applied to 150 respondents selected through consecutive sampling. Data were collected using a validated questionnaire (r>0.361; α=0.876) and analyzed by Chi-square and multiple logistic regression. Results showed that waiting time (p<0.001), staff competence (p<0.001), staff attitude (p<0.001), drug availability (p=0.032), facility comfort (p<0.001), administrative ease (p=0.003), and information clarity (p=0.008) were significantly associated with satisfaction. Multivariate analysis revealed waiting time as the most dominant factor (OR=5.42; 95% CI: 2.31–12.71), followed by staff competence (OR=4.18), facility comfort (OR=2.87), and staff attitude (OR=2.42), with Nagelkerke R²=0.512. Hospital management should optimize service flow and adopt digital queuing systems to enhance patient satisfaction.

In order to raise the standard of healthcare services in the contemporary period, digital transformation in hospital management has become a phenomena. The purpose of this study is to investigate the adoption, advantages, difficulties, and success aspects of digital transformation in healthcare facilities. A literature review employing a narrative review system was the methodology. 14 papers that met the inclusion requirements were found using data sources from Google Scholar, PubMed, and ScienceDirect databases with publication years ranging from 2020 to 2025. To determine the primary study themes, data analysis was carried out utilising a thematic synthesis approach. According to the study's findings, digital transformation can enhance operational effectiveness, service quality, and patient safety by using technology including electronic health records (EHR), telemedicine, and hospital management information systems. However, there are still a number of obstacles to its adoption, such as inadequate infrastructure, inadequate human resource competency, expensive investment costs, and data security threats. Significant barriers also include a lack of system integration and opposition to change. Government policies and regulatory assistance have an impact on the success of digital transformation in hospital administration.

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.

Healthcare institutions worldwide are undergoing digital transformation to improve efficiency and patient experiences. While many studies focus on clinical applications of information technology (IT), its impact on administrative service quality remains limited, even though administrative services are patients’ primary point of contact. This study examines how IT adoption influences administrative service quality in Indonesian healthcare institutions, focusing on relationships between IT implementation levels and service quality dimensions, as well as mediating and moderating factors. Using a mixed-methods sequential explanatory design, quantitative data were collected from 385 patients and 127 administrative staff across 24 hospitals, supported by 32 in-depth interviews. Service quality was measured using SERVQUAL dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The findings show significant positive relationships between IT adoption and all service quality dimensions, with the strongest effects on reliability and responsiveness. Staff digital competency and system usability partially mediate these relationships, while implementation quality acts as a key moderating factor. Well-implemented systems yield substantially higher service improvements than poorly implemented ones. Most patients prefer digital services when functioning properly, although many report frustration when systems fail or staff lack competency. This study highlights the importance of effective IT implementation to enhance administrative service quality and offers practical insights for healthcare management.

This research aims to design an Information Systems and Information Technology (IS/IT) strategic plan for Wyndham OPI Hotel Palembang to support operational efficiency and enhance the quality of five-star hotel services. The study applies the Ward and Peppard framework, supported by analytical methods including Value Chain,PEST,SWOT,Critical Success Factors (CSF), MOST and McFarlan Strategic Grid. Through these approaches, the current IS/IT condition, challenges, and opportunities for digital system development within the hotel environment were mapped. The analysis reveals that although the hotel has implemented technologies such as SiteMinder and the Rhapsody management system, there is a need to improve self-service check-in capabilities, strengthen IT infrastructure, and maximize digital technology utilization. The proposed strategy recommends the development of an integrated self check-in system, enhancement of network infrastructure, and employee training through an LMS platform. This strategic plan is expected to support the hotel’s digital transformation to remain competitive in the modern hospitality industry.

The waiting time for outpatient pharmacy services at Permata Jonggol Hospital had not met the minimum service standards, potentially reducing service quality and patient satisfaction. This issue was suspected to be influenced by human resource (HR) competence, service regulations, and the utilization of the Hospital Management Information System (HMIS). This study aimed to analyze the effect of HR competence and service regulations on pharmacy waiting time, with HMIS utilization as an intervening variable. The study used a quantitative approach with a cross-sectional design. Data were collected at a single point in time using instruments that had been tested for validity and reliability. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results showed that HR competence, service regulations, and HMIS utilization simultaneously had a significant effect on pharmacy waiting time. Partially, HR competence and service regulations significantly affected HMIS utilization and waiting time. HMIS utilization also significantly influenced waiting time and mediated the relationship between HR competence, service regulations, and pharmacy waiting time. In conclusion, improving pharmacists’ competence, strengthening service regulations, and optimizing HMIS utilization in an integrated manner were important strategies to reduce waiting time and improve service efficiency and quality

Medical personnel compliance in prescribing drugs according to the National Formulary (ForNas) is essential to ensure rational therapy, improve service quality, and enhance efficiency in health financing at government health facilities. However, compliance remains a challenge at Johar Baru Regional General Hospital, Central Jakarta. This study aimed to analyze factors influencing medical personnel compliance with ForNas-based prescribing, including drug availability, management policies, and the knowledge, attitudes, norms, and perceptions of medical staff.A qualitative approach was used through in-depth interviews with medical personnel, heads of supporting service sections, and pharmacy unit leaders. The study also involved observation and review of hospital formulary documents, minimum service standards reports for 2024, and monitoring and evaluation reports on prescribing compliance for 2024 and January June 2025. Data were analyzed using thematic analysis supported by NVivo software.The findings indicate that compliance is influenced by medical personnel’s understanding of ForNas policies, clinical experience, and professional attitudes toward prescribing standards. Management factors such as supervision, technological support, and procurement systems also play important roles. Limited drug stocks and suboptimal control systems were identified as major obstacles.The hospital is recommended to strengthen compliance by updating clinical practice guidelines, developing a ForNas-based hospital formulary, improving management support, optimizing information technology systems, ensuring drug availability, and proposing additional ForNas drugs to the Ministry of Health.

Drug stockouts in hospitals pose significant risks to service quality, patient safety, and operational efficiency. This study aimed to analyze how drug demand planning and procurement processes at Johar Baru Regional General Hospital contribute to stockout occurrences and to develop data-driven recommendations based on supply chain management principles. A qualitative descriptive design was employed using data triangulation. Data were collected through in-depth interviews with the Head of the Pharmacy Installation, procurement staff, and warehouse pharmacists, complemented by direct observation and analysis of 2024 planning and procurement documents. Thematic analysis was conducted with the support of NVivo software to identify patterns and relationships among key variables, including drug demand planning, procurement, and inventory management.Findings reveal that stockouts stem from interconnected weaknesses in planning accuracy, procurement coordination, and inventory control systems. Effective stock management depends not only on increasing supply but also on improving data quality, integrating inventory information systems with operational workflows, and enhancing cross-functional collaboration. Recommended strategies include implementing a minimum stock alert system integrated with the Hospital Management Information System (HMIS), strengthening standard operating procedures for stockout response and procurement confirmation, improving integration between HMIS, the National Formulary, and budgeting systems, and applying consumption based planning methods combined with ABC VEN analysis to optimize inventory control.

Digital transformation in archive management is an urgent need for public service institutions, including regional hospitals. This research aims to develop a web-based digital file archiving system at the Regional General Hospital (RSUD) of Nabire Regency using the Waterfall methodology. The system is designed to improve the efficiency and effectiveness of archive management, accelerate access to information, and minimize the risk of loss or damage to physical documents. The development stages include needs analysis, system design, implementation, testing with the Black Box method, and maintenance. The results of the implementation show that the system is able to accommodate archiving needs well, improve administrative performance, and support the digitalization of hospital services as a whole. The study also emphasizes the importance of training for users so that the system can be operated optimally, as well as integration with existing hospital information systems to ensure sustainability. Thus, this web-based digital filing system is expected to be a strategic solution in supporting more modern, transparent, and accountable public services in the regional hospital environment.

Rapid global environmental changes, especially due to advances in technology and information, have had a significant impact on various sectors of life, including the health sector. In the context of modern health services, hospitals are no longer just places of healing, but also institutions that are required to provide high-quality services, based on patient safety, and are able to adapt to the dynamics of community needs. This change requires a transformation in human resource management, especially related to the interpersonal and psychosocial competencies of nurses as the spearhead of medical services.Purposes:​ to analyze the effect of effective communication and Assertive Attitude on Nurses' Work Productivity in hospitals, with Work Fatigue as a mediating variable.Methods: This type of research is quantitative, using statistical figures to measure the influence of independent variables on dependent variables. The research design is a cross-sectional study.Results: The results of this study indicate that effective communication, assertiveness, and job fatigue collectively significantly influence nurses' work productivity. Communication and assertiveness positively contribute to job fatigue, which in turn affects productivity. Job fatigue is also shown to be a significant mediator in the relationship between communication and assertiveness on work productivity .Conclusion : The importance of strengthening effective communication as a strategy to increase productivity. Organizations need to design communication systems that support openness, transparency, and clarity of information and culture-based assertiveness training, so that employees can express their opinions appropriately without causing resistance in the team.

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.

Interoperability remains one of the most persistent challenges in digital health systems globally, affecting the continuity, quality, and efficiency of care. Electronic Medical Records (EMR) managers are central to implementing and sustaining EMR systems, yet their experiences navigating interoperability challenges are poorly understood. This study aimed to explore the lived experiences of EMR managers and to develop a conceptual understanding of the barriers and coping strategies involved. A qualitative phenomenological approach was employed, guided by van Manen’s interpretive framework. The study involved 21 EMR managers from public and private hospitals across three major healthcare networks. Participants were selected through purposive and snowball sampling, with inclusion criteria requiring at least two years of EMR management experience and involvement in interoperability efforts. Data were collected via in-depth, semi-structured interviews conducted virtually between September and November 2025. Each interview lasted 45–60 minutes, was audio-recorded, transcribed verbatim, and member-checked. Data were analyzed thematically using NVivo 14, following Braun and Clarke’s six-step method. Reflexivity, triangulation, and peer debriefing ensured methodological rigor, in accordance with COREQ and SRQR standards. Four overarching themes emerged: (1) Fragmented Systems, reflecting technical and architectural incompatibilities across platforms; (2) Role Strain and Isolation, describing limited authority and institutional support; (3) Adaptive Workarounds, highlighting informal coping strategies such as manual data tracking; and (4) Systemic Barriers, pointing to policy volatility and vendor resistance. A conceptual “feedback loop of fragmentation” was developed, illustrating how these themes interact to perpetuate interoperability challenges. EMR managers operate as critical yet often overlooked actors in the pursuit of health system interoperability. Supporting their role through policy stability, resource investment, and participatory system design is essential. Future digital health reforms must integrate managerial perspectives to build resilient and connected health information systems.

Patient safety is often viewed exclusively as the responsibility of clinical personnel. However, administrative errors occurring during the admission process and documentation stages constitute major contributors to medical risk. This study aims to explore the strategic role of administrative staff in strengthening patient safety culture and mitigating medical risks through effective communication coordination. A narrative literature review was conducted extensively using the Scopus, PubMed, and Web of Science databases, covering publications from 2014 to 2024. Data were analyzed using a thematic synthesis approach. The findings identify four main themes: administrative staff as information gatekeepers, the role of health information technologies (HIS/EMR) in bridging communication gaps, collaboration barriers arising from hierarchical structures, and the need for an Interprofessional Shared Governance framework. Administrative accuracy in the early phases of care is proven to be critical in preventing latent errors with potentially fatal consequences. Strengthening patient safety culture requires the integration of administrative staff through cross-departmental training, standardized communication protocols, and non-punitive incident reporting systems. Administrative staff are not merely bureaucratic support personnel but are key actors within the modern hospital patient safety ecosystem.

Anesthesiology and emergency care require rapid and accurate clinical decision-making. Artificial intelligence (AI) offers substantial potential to support triage, monitoring, and decision-making in critical and emergency anesthesiology settings. This scoping review maps the use of AI in clinical decision-making and emergency patient management in anesthesiology and identifies existing research gaps. A literature search was conducted in ScienceDirect, PubMed, Cochrane Library, and Google Scholar for articles in Indonesian or English published between 2020 and 2025. Study selection followed Tricco’s scoping review framework, and methodological quality was assessed using Joanna Briggs Institute (JBI) tools. Ten articles met the inclusion criteria. AI was shown to improve triage accuracy and efficiency (predictive accuracy up to 99.1% and reductions in waiting time of around 30%). Machine learning models effectively predicted critical care needs and emergency risk, while AI-based clinical decision support systems (CDSS) enhanced the speed and quality of clinical decisions. Key challenges include data bias, ethical and privacy issues, clinician readiness, and integration with hospital information systems. AI and CDSS have strong potential to improve patient safety and clinical decision-making in emergency anesthesiology. Strengthening AI literacy, supportive regulation, and transparent, context-appropriate predictive models are needed for safe and sustainable implementation.

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.

Hospitals are a crucial sector in a country due to their functions encompassing various aspects of healthcare provision. Factors supporting smooth operations and quality healthcare services in hospitals include human resources, facilities and infrastructure, health information systems, financial management, good customer service, security, occupational health, and other supporting factors. This study aims to determine the effect of compensation, work environment, and work stress on employee work productivity at Bhayangkara Level II Hospital in Kediri City. The research method used is a quantitative approach with multiple linear regression analysis techniques. The sample in this study amounted to 40 respondents who were employees of Bhayangkara Level II Hospital in Kediri City. The results of the analysis show that partially compensation, work environment, and work stress have a positive and significant effect on employee work productivity. Compensation has a calculated t value of 2.500 with a significance of 0.015, work environment is 6.170 with a significance of <0.001, and work stress is 5.305 with a significance of <0.001. Simultaneously, these three variables also have a significant effect on work productivity with a calculated F value of 35.438 and a significance of <0.001. Based on these findings, it is recommended that the hospital management continue to evaluate the compensation system, create a conducive work environment, and manage employee work stress through training and counseling facilities. Further research is expected to add other variables such as internal communication, job satisfaction, and career development to obtain more comprehensive results.

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 development of information technology has encouraged institutions, including hospitals, to adopt digital systems to improve operational efficiency. One important aspect is the employee attendance system, which previously relied on fingerprints. This method has limitations, such as difficulty detecting when fingers are not in ideal condition and causing queues during peak hours. This research aims to design and implement an Android-based attendance system using the Eigenface facial recognition method as a faster, safer, and more accurate alternative. Eigenface works by extracting facial features using Principal Component Analysis (PCA), thus being able to efficiently recognize individual identities. The system was developed with MySQL database integration and tested on employees of Khalishah General Hospital. The implementation results showed that the system can recognize faces with a good level of accuracy and increase the effectiveness of attendance recording. Furthermore, the use of facial-based attendance can minimize the potential for fraud and increase user comfort because it does not require physical contact. Thus, the Eigenface method has proven feasible to be implemented as a modern attendance solution to support employee attendance management in hospital work environments and other institutions.

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 explores the potential and contribution of hotel and restaurant taxes to Regional Original Revenue (PAD) in Surabaya, Indonesia. Using a qualitative descriptive approach, data were obtained from both primary and secondary sources. Primary data came from the Regional Government of Surabaya and the Regional Revenue Agency, while secondary data included academic literature, statistical reports, and regulatory documents. Data analysis employed McNabb’s (2002) framework, which consists of grouping information by relevant constructs, identifying interpretive bases, generating generalizations, testing alternative interpretations, and refining theory from case evidence.The findings reveal that the hotel and restaurant sectors in Surabaya possess considerable growth potential, supported by increasing investment, a steady rise in tourist arrivals, and the growing public interest in the property and culinary industries. Hotel taxes have contributed an average of 4.96% of PAD annually, while restaurant taxes contributed 8.06%, reflecting their critical role in strengthening local fiscal capacity. Revenue performance has been further enhanced by the implementation of a self-assessment tax system, improvements in taxpayer compliance, and supportive local economic infrastructure. Despite these positive contributions, several challenges remain. These include unregistered lodging facilities, limited enforcement mechanisms, and a shift in consumer demand toward smaller-scale hospitality businesses, which can reduce taxable capacity. Addressing these challenges requires optimizing the hospitality tax base, expanding tourism promotion, strengthening compliance monitoring, and advancing digital-based tax management systems to ensure efficiency and transparency. In conclusion, hotel and restaurant taxes play a vital role in ensuring Surabaya’s fiscal independence and financing public welfare initiatives. Strengthening governance and adopting adaptive policies are essential for maximizing their potential contribution to sustainable local development.