Improving uptake of population health management through scalable analysis of linked electronic health data.
| Autor: | Varady AB; Modelling and Analytics (BNSSG ICB), UK National Health Service, Bristol, UK., Wood RM; Modelling and Analytics (BNSSG ICB), UK National Health Service, Bristol, UK.; Centre for Healthcare Innovation and Improvement, School of Management, University of Bath, Bath, UK. |
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| Jazyk: | angličtina |
| Zdroj: | Health informatics journal [Health Informatics J] 2024 Jul-Sep; Vol. 30 (3), pp. 14604582241259344. |
| DOI: | 10.1177/14604582241259344 |
| Abstrakt: | Population Health Management - often abbreviated to PHM - is a relatively new approach for healthcare planning, requiring the application of analytical techniques to linked patient level data. Despite expectations for greater uptake of PHM, there is a deficit of available solutions to help health services embed it into routine use. This paper concerns the development, application and use of an interactive tool which can be linked to a healthcare system's data warehouse and employed to readily perform key PHM tasks such as population segmentation, risk stratification, and deriving various performance metrics and descriptive summaries. Developed through open-source code in a large healthcare system in South West England, and used by others around the country, this paper demonstrates the importance of a scalable, purpose-built solution for improving the uptake of PHM in health services. Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
| Databáze: | MEDLINE |
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