Analysis Of Workforce Requirements Based On Workload Using The Workload Indicator Staff Need ( Wisn ) In The Casemix Of Emanuel Hospital Banjarnegara In 2025

Ita Wahyuningsih; Khusnul Khotimah Arum; Ilham Rahmansyah

doi:10.55227/ijhet.v4i4.444

Authors

Ita Wahyuningsih Banyumas Yakpermas Polytechnic
Khusnul Khotimah Arum
Ilham Rahmansyah

DOI:

https://doi.org/10.55227/ijhet.v4i4.444

Keywords:

Keywords: Analysis, Staffing Needs, WISN

Abstract

Workload analysis is a crucial process used to determine the amount of working time required to complete specific tasks within a defined period. In healthcare facilities, particularly in administrative units such as casemix, an imbalance between staffing levels and workload volume can lead to delays in claim processing, reduced accuracy, and disruptions in hospital financial performance. This study aims to analyze workforce requirements in the Casemix Unit of Emanuel Hospital Banjarnegara for the year 2025 using the Workload Indicator of Staff Need (WISN) method. This descriptive qualitative study involved nine casemix staff members selected through total sampling. Data were collected through structured interviews and direct observation of key activities, including coding, grouping, uploading documents, and verification. The WISN method was applied by calculating available working time, workload standards, allowance standards, and the annual volume of main activities. The results indicate that the total workload in the casemix unit is high, requiring an ideal workforce of 12 staff members—4 coders, 3 groupers, 3 uploaders, and 2 verifiers. However, only 9 staff are currently available, resulting in a shortage of 3 workers. This shortage contributes to excessive workloads, extended working hours, and potential delays in BPJS claim processing, which may negatively affect hospital cash flow and service quality. Importantly, this study provides strategic insights for hospital human resource management by offering evidence-based recommendations for staffing allocation. Strengthening human resource planning through WISN can support more efficient workload distribution, improve operational accuracy, and enhance overall service quality within the casemix unit.

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