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Handri Maika Saputra
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gpijournal@gmail.com
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+62 853-6520-2765
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gpijournal@gmail.com
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Jl. Palarik, Aie Pacah, Kec. Koto Tangah, Kota Padang, Sumatera Barat, 25176
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Kota padang,
Sumatera barat
INDONESIA
Journal of Health Service Administration and Hospital Management
ISSN : -     EISSN : 31237185     DOI : http://dx.doi.org/10.69855/laceri
Core Subject : Health,
Journal of Health Service Administration and Hospital Management (LACERI) is an open-access, peer-reviewed scientific journal managed by CV. Get Press Indonesia. This journal focuses on the advancement of knowledge and practice to improve the effectiveness, efficiency, and quality of hospital services, covering various topics such as hospital service management, hospital administration, health human resource management, hospital operations management, hospital strategic management and marketing, information technology in hospital management, hospital policies and regulations, as well as ethics and law in hospital management. Through the publication of research, ideas, and innovations, LACERI is committed to becoming a platform for disseminating relevant, applicable, and impactful knowledge that contributes to the improvement of health service quality at both national and global levels. Every published article undergoes an open peer review process to ensure scientific quality and integrity. Published twice a year, in January and July, LACERI provides full open access under the a Creative Commons Attribution 4.0 International (CC BY 4.0) license. This ensures that all work can be freely accessed, utilized, and disseminated. We invite authors from diverse backgrounds to contribute to building a scientific literature that supports the advancement of health service administration and management at the national and global levels.
Articles 20 Documents
The How Good Corporate Governance Influences Patient Satisfaction in Hospitals: A PRISMA-Based Systematic Review of Empirical Evidence Wiyarti, Windi; Sepriany Putri Ali, Indri; Syukra Alhamda; Andi Indahwaty Sidin
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.416

Abstract

Good Corporate Governance (GCG) has increasingly been recognized as a key governance mechanism in healthcare organizations, particularly in developing health systems. Purpose: This study aims to synthesize empirical evidence on the relationship between GCG implementation and patient satisfaction and to identify dominant governance mechanisms influencing patient-centered outcomes. Methods: A systematic literature review was conducted following the PRISMA framework. Ten peer-reviewed empirical studies published between 2019 and 2025 were included, the majority of which employed quantitative cross-sectional designs and were conducted in Indonesian hospital settings. Study quality and potential risk of bias were assessed narratively based on methodological rigor and measurement consistency. Results: The synthesis reveals a consistent positive association between GCG implementation and patient satisfaction, with transparency and accountability emerging as the most influential principles. These principles primarily affect patient satisfaction through trust-building, service quality enhancement, and operational efficiency, while the effects of fairness and responsibility appear more context-dependent. This review extends governance theory in healthcare by conceptualizing GCG not merely as an administrative control framework but as a relational mechanism that shapes patient experience through trust and service responsiveness. Implications: The findings highlight the need for hospital governance models that prioritize transparent information systems, accountable performance mechanisms, and patient-centered service processes to improve satisfaction outcomes. 
Analysis of the Ratio of Strategic Health Workers (Specialist Doctors) to Bed Capacity: HR Distribution Mapping and Its Implications for Hospital Talent Management in Indonesia Hairudin La Patilaiya
Journal of Health Service Administration and Hospital Management Vol. 1 No. 2 (2025): July, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v1i2.425

Abstract

This study investigates the distribution of specialist doctors relative to hospital bed capacity (DS/TT Ratio) across Indonesian provinces and explores its implications for hospital talent management strategies. The current healthcare landscape in Indonesia exhibits a significant gap; while hospital bed capacity has increased by approximately 12% annually, specialist recruitment has stagnated at 3.5%, leading to critical workload imbalances. Unlike population-based metrics, the DS/TT Ratio provides a more precise measure of clinical demand. Using quantitative analysis of official secondary data (2020–2024), this research maps geographic disparities and correlates them with socio-economic factors. Results reveal extreme spatial disparities: the national average ratio is 10.5 per 100 beds, but ranges from 23.20 in DKI Jakarta to only 4.40 in West Papua. A strong positive correlation (Spearman's  ) between the DS/TT Ratio and Gross Regional Domestic Product (GRDP) per capita identifies economic attractiveness as the primary driver of maldistribution. To address these disparities, this study provides strategic recommendations for stakeholders: the Ministry of Health should integrate DS/TT standards into hospital accreditation, while regional governments must utilize these ratios to justify targeted fiscal incentives and "service-bound" scholarship placement. By shifting the talent management paradigm from population-based to workload-based allocation, Indonesia can better address market failures in specialist distribution and ensure equitable access to quality care.
The Influence of KARS Accreditation Status (Paripurna vs. Non-Paripurna) on Patient Satisfaction Ratings: A Case Study of Public Sentiment Analysis on Google Maps Reviews Rafika Aini; Mila Sari
Journal of Health Service Administration and Hospital Management Vol. 1 No. 2 (2025): July, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v1i2.429

Abstract

The quality stability of healthcare services in Indonesia is critically influenced by the Hospital Accreditation Commission (KARS) certification, which functions as a formal regulatory system ensuring compliance with national standards. Despite this, a gap persists between formal accreditation status (Paripurna vs. Non-Paripurna) and actual patient satisfaction, particularly as reflected in public sentiment on digital platforms like Google Maps. This study aims to analyze the correlation between KARS accreditation levels and patient satisfaction ratings derived from sentiment analysis of over 50,000 Indonesian-language Google Maps reviews spanning 2020–2025. Employing a quantitative correlational design, the research integrates ordinal accreditation data and sentiment classification results generated through advanced machine learning methods (LSTM/Naïve Bayes). The analysis utilized Spearman’s rank correlation to assess the association between hospital accreditation status and aggregated sentiment scores. Findings reveal a statistically significant but weak positive correlation (ρ = 0.215, p < 0.001), indicating that higher formal accreditation does not strongly predict better patient-perceived quality. Negative sentiments notably cluster around non-technical service issues such as staff empathy and administrative delays, highlighting deficiencies unaddressed by the accreditation framework. These results suggest the need for hospital management and policymakers to incorporate digital patient feedback as a critical complement to traditional quality assurance measures. The study advocates for integrating Patient Reported Experience Measures (PREMs) from online sources into KARS standards and encourages future research using diagnostic tools like Root Cause Analysis to target underlying causes of patient dissatisfaction. This comprehensive approach aims to close the gap between institutional compliance and patient experience, promoting sustainable improvements in healthcare service quality in Indonesia.
Implementation of Clinical Pathways and Its Impact on Average Length of Stay (ALOS) in Major Surgery Cases: A Secondary Data Analysis of BPJS Kesehatan Claims Siti Amallia
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.468

Abstract

The adoption of the Indonesia Case-Base Groups (INA-CBGs) framework mandates a fundamental shift toward hospital operational optimization through standardized medical protocols. This investigation explores the empirical influence of Clinical Pathway (CP) integration on the Average Length of Stay (ALOS) for major surgical interventions within the National Health Insurance (JKN) ecosystem. Purpose: This study aims to quantify the relationship between protocol adherence and inpatient duration while elucidating its role in systemic cost-containment. Methods: Utilizing a quantitative explanatory design, the research analyzed the 2024 BPJS Kesehatan Sample Dataset, comprising 245,672 verified surgical claim entries from diverse hospital classifications across Indonesia. The methodology employed a stratified random sampling approach, utilizing multivariate regression and Pearson correlation analyses to examine clinical compliance indices, demographic determinants, and procedural outcomes relative to National Guidelines (PNPK). Results: The empirical data demonstrates a compelling negative correlation between protocol compliance and hospitalization duration (; ), yielding a comprehensive 33.8% reduction in national ALOS. The most pronounced efficiencies were documented in complex orthopedic procedures (38.1%) and high-risk Cesarean sections (40.4%), generating an average fiscal saving of IDR 4.4 million per encounter. Implications: These results position standardized clinical trajectories as essential deterministic instruments for ensuring fiscal solvency and maximizing bed turnover rates. Conclusion: Stringent CP adherence effectively curtails unwarranted service variability and alleviates financial pressures on social security funds. Future inquiries should synthesize administrative datasets with longitudinal patient-reported outcomes to validate that accelerated discharge protocols do not diminish post-surgical health quality.
Spatial Mapping of Healthcare-Associated Infections (HAIs) Risks Based on Sanitation Facility Availability and Patient Density Ratios in Hospitals Across Indonesia Sari, Mila
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.486

Abstract

Patient safety regarding the persistent threat of Healthcare-Associated Infections (HAIs) remains a critical challenge in Indonesia, driven by significant infrastructural disparities and operational strains. This study aims to map the national geospatial risk of HAIs by testing the hypothesis that the intersection between sanitation limitations and patient density creates distinct regional risk clusters. Adopting a quantitative descriptive design with retrospective spatial analysis, the research examines secondary data from 3,155 hospitals across 38 provinces, sourced from Siranap, RS Online, and the Indonesian Health Profile for the 2022-2024 period. Key variables, including handwashing station availability, potable water access, and Bed Occupancy Rate (BOR), were integrated using Spatial Join techniques. The results reveal a "Dual-Risk Landscape": metropolitan regions in Java-Bali exhibit elevated risks due to BOR saturation (>82%), while Eastern Indonesia faces high vulnerability from basic infrastructure deficits (water access <68%) despite lower patient density. Statistical analysis confirms that the synergy between sanitation compliance and BOR accounts for 46% of the national infection risk variance ( ). These findings imply a necessary shift from generalized policies toward region-specific interventions prioritizing facility engineering. In conclusion, this mapping proves that urban density management and peripheral infrastructure investment are pivotal for HAIs mitigation. It is recommended that health authorities integrate real-time environmental sensor-based early warning systems for future risk monitoring.
Comparative Analysis of Key Performance Indicators (KPIs) in Government Hospitals Before and After the Implementation of Public Service Agency (BLU) Financial Management Status Afif Wahyudi Hidayat
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.538

Abstract

The transition of Indonesian government hospitals into Public Service Agencies (BLU) represents a pivotal shift in addressing bureaucratic stagnation within the public health sector. This study evaluates the impact of financial and managerial autonomy on Key Performance Indicators (KPIs) across 28 National Central General Hospitals (RSUP) in Indonesia. Utilizing a retrospective longitudinal design, secondary data from 2022–2024 were extracted from official Ministry of Finance and Ministry of Health repositories. The analysis focused on clinical efficiency, service quality, and financial sustainability metrics. Results indicate a transformative surge in operational performance, characterized by a significant increase in the mean Bed Occupancy Rate from 58.42% to 76.85% and a sharp decline in the Turn Over Interval from 3.50 to 1.82 days. Furthermore, the average financial self-sufficiency ratio escalated to 82.40%, demonstrating a reduced reliance on state subsidies. Clinical outcomes remained robust, with the Average Length of Stay decreasing to 5.25 days while the Gross Death Rate showed a downward trend to 38.50 per 1,000 discharges. These findings imply that institutional flexibility, supported by performance-based remuneration and independent procurement, catalyzes healthcare modernization and fiscal resilience. In conclusion, the BLU framework successfully harmonizes sound business practices with public service mandates. Future research should explore the integration of artificial intelligence and digital health ecosystems to further optimize governance. This study provides a vital benchmark for public hospital reforms across emerging economies in Southeast Asia.
Telemedicine Effectiveness in Reducing Out-of-Pocket Expenditure and Hospital Queues: Evidence from Indonesia Derry Trisna Wahyuni S; Nurul Adzkia Ghearizky
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.519

Abstract

The rapid escalation of healthcare demand in Indonesia has exacerbated systemic inefficiencies, characterized by high out-of-pocket (OOP) expenditures and hospital congestion. This study evaluates the effectiveness of telemedicine in mitigating these burdens within the Indonesian healthcare ecosystem. Utilizing a quantitative cross-sectional secondary analysis, the research synthesized datasets from 2023-2024, including the National Socio-Economic Survey (Susenas, n=345,000 households), Satu Data JKN portal (n=248 million participants), and SIRANAP metrics. A Cost-Effectiveness Analysis (CEA) framework was employed to calculate direct non-medical cost savings and labor productivity gains based on Sakernas hourly wage data. Results demonstrate that telemedicine integration facilitated a 66.7% reduction in total OOP expenditure per encounter, with a significant difference observed between digital and physical consultations (p < .001). Furthermore, a 20.7% national decrease in physical hospital queuing was recorded, resulting in a mean time-saving of 4.1 hours per patient (t(150) = 4.32; p < .001). These findings indicate that digital health adoption enhances allocative efficiency within referral facilities. Implications suggest that while digital platforms improve service throughput, efficacy correlates with regional internet penetration. It is concluded that telemedicine reduces financial friction and hospital load, though its impact is non-uniform across the archipelago. Future policy should focus on infrastructural equity in remote regions to ensure the sustainability of digital health access.
Digital Interoperability and Diagnostic Redundancy Reduction: Cost-Efficiency Evidence from Indonesian Vertical Hospitals Ramli
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.509

Abstract

Digital transformation through Indonesia's SatuSehat platform aims to mitigate medical data fragmentation, which historically contributed to excessive diagnostic redundancy within referral institutions. This study evaluates the impact of data interoperability on laboratory operational cost-efficiency and the reduction of duplicative investigations in Vertical Hospitals. Employing a retrospective observational design, the research analyzed secondary datasets from 14 national referral Vertical Hospitals across Java and Bali, encompassing a sample population of 12,450,000 laboratory transactions from the 2023–2024 period. Data were synthesized from the SatuSehat national dashboard, Audited Financial Reports (LKA), and BPJS Health claim records, focusing on variables such as redundant test volumes (categorized by LOINC codes) and realized reagent expenditures. The findings reveal a significant 11.21% decline in laboratory examination volumes alongside an 11.27% improvement in medical consumable efficiency, totaling IDR 54.30 Billion in fiscal savings. Inferential analysis using a paired-sample t-test confirmed a highly significant reduction in operational costs following integration (t = 8.42, df = 13, p < 0.001, 95% CI [0.78, 0.92]), with a substantial effect size (Cohen's d = 1.15). Furthermore, regression modeling indicates that every 1% reduction in redundancy contributes to a 0.85% gain in budgetary efficiency ( ,  ). These results imply that SatuSehat functions as a high-precision fiscal stabilizer that directly correlates clinical interoperability with the mitigation of systemic financial leakage in the Indonesian health sector. The study concludes that strengthening national digital data governance effectively optimizes healthcare resources and recommends the integration of Artificial Intelligence-based clinical decision support systems for future investigative frameworks.
Capital Structure, Asset Turnover, and Service Quality among IDX-Listed Private Hospital Groups: Evidence from Panel Data Analysis Rafika Aini
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.539

Abstract

This study examines the association between capital structure and asset utilization with service quality among IDX-listed private hospital groups in Indonesia. The study employs an observational quantitative design using panel data rather than a causal-comparative approach. The sample consists of seven hospital groups observed over the 2021–2024 period, resulting in 28 firm-year observations. Financial data were obtained from audited annual reports, while service quality is measured using the Patient Satisfaction Index (PSI) reported in sustainability reports. National Quality Indicators (NQI) are used only as contextual references and are not included in the regression model. The empirical model applies panel data regression to estimate the relationship between Debt to Equity Ratio (DER), Total Asset Turnover (TATO), and PSI. The findings indicate that DER is negatively associated with PSI, while TATO shows a positive association. These results should be interpreted as statistical associations rather than causal relationships. The study contributes by providing empirical evidence on how financial indicators relate to perceived service quality within the context of Indonesian private hospital groups.
Nurse-to-Patient Ratios and 30-Day Readmission in Heart Failure: A National Big Data Analysis Using the NRD Database Nonok Karlina
Journal of Health Service Administration and Hospital Management Vol. 2 No. 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i1.545

Abstract

Purpose: This study investigates the association between nursing workforce dynamics and 30-day readmission risks among heart failure patients, examining the hypothesis that excessive workloads correlate with compromised clinical surveillance and discharge efficacy. Methods: Utilizing a retrospective cohort design, we executed a large-scale data linkage between the National Readmission Database (NRD, 2021) and CMS Provider Data, encompassing a representative sample of 685,210 heart failure hospitalizations. Multivariate logistic regression and XGBoost algorithms were employed to analyze the association between the Nurse-to-Patient Ratio (NPR) and readmission, adjusting for the Charlson Comorbidity Index, socioeconomic status, and institutional characteristics. Results: Findings demonstrate a significant correlation; patients in hospitals with the lowest staffing levels (ratio > 1:6) exhibited a readmission rate of 29.2%, compared to 15.1% in optimally staffed facilities (ratio ≤ 1:4). Every additional patient per nurse was associated with a 7% increase in readmission odds (OR = 1.07; 95% CI: 1.05–1.09; p < .001), while the XGBoost model achieved high discriminative performance (AUC = 0.82). Conclusion: The study concludes that nurse staffing represents a significant organizational factor associated with patient safety and readmission outcomes, suggesting that inadequate nursing capacity may hinder effective discharge education and institutional financial viability. Implications: These findings suggest that health policymakers consider transitioning toward acuity-based staffing models and integrating nursing metrics into value-based reimbursement frameworks to mitigate the national burden of heart failure readmissions.

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