SHS Web Conf.
Volume 131, 20228th International Multidisciplinary Research Conference SOCIETY. HEALTH. WELFARE
|Number of page(s)||10|
|Published online||11 January 2022|
Using the Workload Indicator of Staffing Need (WISN) – Method to model the HR requirements and costs of Health Care Services in Kyrgyzstan
1 APOLLON University of Applied Science GmbH, Bremen, Germany
2 GIZ German Corporation for International Cooperation GmbH, Eschborn, Germany
3 GIZ German Corporation for International Cooperation GmbH, Bishkek, Kyrgyzstan
* Corresponding author: firstname.lastname@example.org
Health Care systems are facing several challenges. The lack of resources, such as health workers, costing and financing are open and urgent questions in Health Care Systems. Tools from HRManagement (e.g. the Workload Indicator of Staffing Need (WISN) – method, WHO - HR-Management Tool) and Cost-Accounting can help to improve current financing and further develop healthcare reimbursement systems, such as DRG-Systems. Based on empirical data and interviews with healthcare professionals from multiple healthcare institutions in Kyrgyzstan the WISN method was applied to calculate human resource needs in a new perinatal health centre in Bishkek, Kyrgyzstan. The results of the analysis show that it is possible to calculate the required personal resources using the WISN method. Additionally, WISN can be used to calculate personnel costs. The results also show that in combination with material costs, e.g. from a DRG – Cost – Matrix, such as the G-DRG-Report Browser, it is possible to calculate the total costs of healthcare services and to use this as the basis for the reimbursement system. WISN in combination with additional Cost-Accounting systems is a good way to calculate the total costs for an intervention in a healthcare institution, e.g. a hospital. These tools can help to make financing in healthcare more transparent and efficient.
Key words: Workload Indicator of Staffing Need (WISN) / HR Management / HR Calculation / Costing / Diagnosis Related Groups (DRG) / Health Care Reimbursement
© The Authors, published by EDP Sciences, 2022
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