Mirza Aulia
STIKes Dharma Landbouw, Indonesia

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Correlation between Medical Record Filing Retrieval Time and INA-CBG Claim Verification Delay: A Study at Awal Bros Sudirman Hospital Pekanbaru Rahmadhani; Mirza Aulia
Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems Vol. 2 No. 1 (2026): March, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/rekammedis.v2i1.708

Abstract

Timeliness of INA-CBG claim verification is essential for maintaining hospital financial sustainability and ensuring continuity of healthcare services. Delays in claim verification may be influenced by several factors, including prolonged medical record retrieval time from the filing unit, which can affect administrative and reimbursement processes. This study aimed to determine the correlation between medical record filing retrieval time and INA-CBG claim verification delay at Awal Bros Sudirman Hospital Pekanbaru. This study employed a quantitative analytical design with a cross-sectional approach. The study was conducted in the Medical Record Unit of Awal Bros Sudirman Hospital Pekanbaru in 2026. The population consisted of inpatient medical records used for BPJS claims, with a sample of 150 records selected by simple random sampling. Data were collected using observation sheets to measure retrieval time and claim verification completion time. Data were analyzed using univariate analysis and Spearman Rank correlation. The results showed that 58.0% of medical records experienced retrieval delays (>10 minutes), while 54.7% of claims experienced verification delays (>14 days). Spearman correlation analysis showed a significant relationship between medical record retrieval time and INA-CBG claim verification delay (p=0.001) with a correlation coefficient (r=0.621), indicating a strong positive correlation. It can be concluded that longer retrieval times are associated with increased claim verification delays. Therefore, improvements in filing management and record accessibility are necessary immediately.
Spatial Analysis of Health Human Resources (SDMK) Readiness in Addressing the Double Burden of Diseases in Hospitals Across Indonesia Dodiet Aditya Setyawan; Mirza Aulia
Journal of Health Service Administration and Hospital Management Vol. 2 No. 2 (2026): July, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i2.721

Abstract

The double burden of disease characterized by the increase of non-communicable diseases along with the high level of infectious diseases requires adequate and equitable preparedness of Human Health Resources (SDMK) in hospitals. Inequality in the distribution of health workers between regions causes service capacity is not optimal, so spatial analysis becomes an important approach in planning SDMK. Purpose: This study aims to analyze the relationship between sdmk readiness and the ability of hospitals to cope with the double burden of disease in Indonesia, as well as mapping priority areas for strengthening SDMK through Geographic Information Systems (GIS), with field validation at Dr. M. Djamil Padang. Methods: quantitative research with GIS-based cross-sectional design involving 514 public hospitals selected using stratified random sampling by region. Data were obtained from the Ministry of Health, SDMK Information System, hospital profile, observation, and structured interviews. Analysis was conducted using univariate statistics, chi-square test, multiple logistic regression, Moran's I, and Hotspot Analysis (Getis-Ord Gi*). Results: a total of 61.3% of hospitals have high sdmk readiness, while 38.7% are still low. Hospitals with adequate SDMK were better able to manage the double burden of disease optimally than hospitals with inadequate SDMK (68.5% vs 42.1%; p=0.001; OR=2.94; 95% CI=1.98–4.36). Spatial analysis showed positive autocorrelation (Moran's I=0.41; p<0.001) with priority cluster in eastern Indonesia. Implication: Dr. M. Djamil Padang has the potential to become a reference Center for SDMK capacity development and strengthening spatial mapping-based service networks. Conclusion: Sdmk readiness is significantly related to the ability of hospitals to manage the double burden of disease, while spatial analysis effectively identifies priority areas for intervention and equitable distribution of national SDMK.