Anggi Kurnia Ningsih
Institut Kesehatan Medistra Lubuk Pakam

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Strengthening the Competency of the Casemix Team to Improve the Quality of Outpatient Services at Grandmed Hospital Anggi Kurnia Ningsih
JURNAL PENGMAS KESTRA (JPK) Vol. 6 No. 1 (2026): Jurnal Pengmas Kestra (JPK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LP2M) Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/rbs2ms45

Abstract

The Casemix Team plays a strategic role in supporting healthcare claim management, diagnosis and procedure coding, and providing accurate data to improve hospital service quality. However, various challenges remain, including limited knowledge and technical skills among personnel in diagnosis coding, medical record verification, and healthcare claim management, which may reduce service efficiency and delay the National Health Insurance (JKN) claim process. This Community Service Program aimed to strengthen the competencies of the Casemix Team in improving the quality of outpatient services at Grandmed Hospital. The program was implemented through educational sessions, training, mentoring, case-based simulations, and evaluations using pre-test and post-test assessments. A total of 25 participants, consisting of Casemix team members, coding officers, claim verifiers, medical record staff, and administrative personnel involved in Casemix management, participated in the program. The training covered Casemix concepts, diagnosis and procedure coding based on ICD and INA-CBG's standards, medical record verification, and healthcare claim management. The evaluation results demonstrated a significant improvement in participants' competencies, with the average score increasing from 61.4 in the pre-test to 85.7 in the post-test, representing an improvement of 39.6%. Participants also showed better performance in accurate diagnosis and procedure coding, document verification, and claim management. Overall, this community service program effectively strengthened the competencies of the Casemix Team and contributed to improving outpatient service quality, administrative efficiency, and healthcare claim management at Grandmed Hospital.
Evaluation of Hospital Information System Integration to Support Interunit Information Flow at Grand Med Hospital in 2026 Anggi Kurnia Ningsih; Sri Ulina Br. Purba
JURNAL KESMAS DAN GIZI (JKG) Vol. 9 No. 1 (2026): Jurnal Kesmas dan Gizi (JKG)
Publisher : Fakultas Kesehatan Masyarakat Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/jkg.v9i1.3967

Abstract

Integration of the Hospital Management Information System (SIMRS) determines whether registration, examination, diagnostic service, pharmacy, and administrative data are available to the next unit in a timely manner. This article aims to develop a framework for evaluating SIMRS integration at Grand Med Hospital in 2026. The method consists of a narrative review of regulations, interoperability standards, and research on health data exchange, followed by the design of a mixed methods case study. The units of analysis are information transfers among registration, outpatient clinics or the emergency department, laboratory, radiology, pharmacy, inpatient wards, and the cashier. Key indicators include data completeness, latency, transaction failures, duplicate data entry, consistency of patient identity, and traceability of request status. The proposed assessment matches patient and visit identifiers across systems, measures the time from data transmission until the receiving unit can use the data, and records failed transactions or those requiring manual correction. Indonesia’s Minister of Health Regulation No. 24 of 2022 on Medical Records provides the regulatory reference, while HL7 FHIR, the standard used by SATUSEHAT, provides a reference for tracing relationships among patient, encounter, examination request, and result data. The review produces an audit matrix, operational definitions of indicators, and improvement priorities that can be tested using system logs, observations, documents, and interviews. Applying this framework can yield a measurable evaluation once the hospital validates the scope of integration and provides operational data for 2026