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Application of the Hot-Fit Method in Evaluation of the Use of ePuskesmas at Community Health Care I South Denpasar Adiningsih, Luh Yulia; Pradnyani, Putu Erma; Putri, Putu Chrisdayanti Suada; Bhoko, Coelestina Astri
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1978

Abstract

ePuskesmas is a multi-user web-based application that allows simultaneous access by multiple users. It facilitates electronic patient recording and data management. The implementation of ePuskesmas services at UPTD Denpasar Selatan 1 has not been conducted previously, but the application aids the Health Department in monitoring public health data. Therefore, it is crucial to evaluate the readiness of personnel in adopting ePuskesmas using the HOT-FIT method. The aim of this study is to assess the Usage Evaluation of ePuskesmas at UPTD Puskesmas I Denpasar Selatan using the HOT-FIT Method. The research adopts a Cross-Sectional Study approach, with a sample comprising all 32 ePuskesmas users at Puskesmas I Denpasar Selatan selected through purposive sampling. Data analysis includes multivariate analysis using multiple linear regression. The findings reveal significant correlations between human, organizational, and technological factors and the net benefit of ePuskesmas usage. Specifically, multivariate analysis identifies organizational factors as the most significant predictor influencing ePuskesmas net benefit (p<0.001). This underscores the pivotal role of organizational readiness in ePuskesmas utilization. Hence, enhancing organizational structure in ePuskesmas management is essential, alongside fostering communication and organizational experience in utilizing ePuskesmas for patient recording and reporting purposes
Analysis of The Causes of Pending in JKN Claims For Outpatients at Orthopedic Hospital Prof. Dr. R. Soeharso Surakarta Nurherawati, Umi; Hastuti, Nunik Maya; Mahmudah, Mutik; Bhoko, Coelestina Astri
Procedia of Engineering and Life Science Vol. 6 (2024): The 3rd International Scientific Meeting on Health Information Management (3rd ISMoHI
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v6i0.1979

Abstract

Based on a preliminary survey at RS Ortopedi Prof. Dr. R. Soeharso Surakarta in the third quarter of 2023, outpatient JKN claims were pending with a percentage of 5.02% or 938 of the total submission of 18,703 medical records. The aim of the research was to determine the factors causing pending JKN claims for outpatients in the fourth quarter at RS Ortopedi Prof. Dr. R. Soeharso Surakarta. This type of research uses descriptive research with a cross sectional approach. This research was carried out to the JKN outpatient claims section at RS Ortopedi Prof. Dr. R. Soeharso Surakarta from February to April 2024. The subjects in this research were coding officers, INA-CBG's data entry officers, and internal verification officers at RS Ortopedi Prof. Dr. R. Soeharso Surakarta with the research object being the JKN outpatient claim file in the fourth quarter of 2023. Observation guide and an interview guide were used as the research instrument. The data were analyzed using processing techniques used are collecting, editing, tabulation and data presentation. Descriptive data analysis techniques. The research results show the percentage of pending JKN claims for outpatients in the fourth quarter of 2023 at RS Ortopedi Prof. Dr. R. Soeharso Surakarta amounted to 2.04% with a total of 396 pending claims for medical records with a total of 19,399 medical records submitted. The highest cause of pending is in the administrative aspect. Result of the research shows the percentage of pending JKN claims for outpatients in the fourth quarter of 2023 at RS Ortopedi Prof. Dr. R. Soeharso Surakarta is 2.04% with the number of 396 pending files from 19,399 medical records submitted. Therefore, officers are more careful in inputting patient information and completeness of files before submission and maximizing.