Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care
Changing market conditions and increasingly scarce human resources require health care providers to analyze, review, and constantly adjust their processes within their healthcare facilities. A personnel requirement assessment based on the WISN method has proven to be a useful instrument for personne...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | SHS Web of Conferences |
| Subjects: | |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2024/04/shsconf_shw2023_02008.pdf |
| _version_ | 1797221487006973952 |
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| author | Thum Regina Wehner Cornelia Goetz Olav |
| author_facet | Thum Regina Wehner Cornelia Goetz Olav |
| author_sort | Thum Regina |
| collection | DOAJ |
| description | Changing market conditions and increasingly scarce human resources require health care providers to analyze, review, and constantly adjust their processes within their healthcare facilities. A personnel requirement assessment based on the WISN method has proven to be a useful instrument for personnel planning, but also for identifying potential for improvement and process optimization. Based on a mixed method approach, using a systematic literature review, focus group-based experts discussions and interviews the WISN – method was applied to calculate human resource needs for a neurology team of therapists in a general hospital in Germany. Furthermore, the study intended to identify concrete measures for optimization. The results show that it is possible to calculate the required personal resources using the WISN-Method. Additionally, three support activities (daily documentation, weekly documentation, and scheduling) which, at 5.5 hours/week per therapist, tie up considerable working time could be identified. After implementing the optimization measures, a maximum of 1.36 full-time equivalents (FTE) therapists out of a team of 9.51 FTEs therapists could be saved or used for value-adding other health activities. It can be concluded that WISN is a good way to calculate Human Resource (HR) requirements and can help to increase transparency and efficiency in health care. |
| first_indexed | 2024-04-24T13:06:13Z |
| format | Article |
| id | doaj.art-5390a612dec64ec88fc3c4a27e5b1ddd |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-04-24T13:06:13Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-5390a612dec64ec88fc3c4a27e5b1ddd2024-04-05T07:31:58ZengEDP SciencesSHS Web of Conferences2261-24242024-01-011840200810.1051/shsconf/202418402008shsconf_shw2023_02008Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health careThum Regina0Wehner Cornelia1Goetz Olav2Dresden International University (DIU)Dresden International University (DIU)APOLLON University of Applied Science GmbHChanging market conditions and increasingly scarce human resources require health care providers to analyze, review, and constantly adjust their processes within their healthcare facilities. A personnel requirement assessment based on the WISN method has proven to be a useful instrument for personnel planning, but also for identifying potential for improvement and process optimization. Based on a mixed method approach, using a systematic literature review, focus group-based experts discussions and interviews the WISN – method was applied to calculate human resource needs for a neurology team of therapists in a general hospital in Germany. Furthermore, the study intended to identify concrete measures for optimization. The results show that it is possible to calculate the required personal resources using the WISN-Method. Additionally, three support activities (daily documentation, weekly documentation, and scheduling) which, at 5.5 hours/week per therapist, tie up considerable working time could be identified. After implementing the optimization measures, a maximum of 1.36 full-time equivalents (FTE) therapists out of a team of 9.51 FTEs therapists could be saved or used for value-adding other health activities. It can be concluded that WISN is a good way to calculate Human Resource (HR) requirements and can help to increase transparency and efficiency in health care.https://www.shs-conferences.org/articles/shsconf/pdf/2024/04/shsconf_shw2023_02008.pdfworkload indicator of staffing need (wisn)human resources (hr)hr managementhr calculationoptimization of health care services |
| spellingShingle | Thum Regina Wehner Cornelia Goetz Olav Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care SHS Web of Conferences workload indicator of staffing need (wisn) human resources (hr) hr management hr calculation optimization of health care services |
| title | Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care |
| title_full | Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care |
| title_fullStr | Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care |
| title_full_unstemmed | Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care |
| title_short | Using the Workload Indicators of Staffing Need (WISN) – method to asses HR requirements and optimize processes in health care |
| title_sort | using the workload indicators of staffing need wisn method to asses hr requirements and optimize processes in health care |
| topic | workload indicator of staffing need (wisn) human resources (hr) hr management hr calculation optimization of health care services |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2024/04/shsconf_shw2023_02008.pdf |
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