Improving uptake of population health management through scalable analysis of linked electronic health data.

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 se...

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Publicado en:Health Informatics Journal Vol. 30; no. 3; pp. 1 - 16
Autores principales: Varady, Andras B, Wood, Richard M
Formato: Journal Article
Publicado: Sage Publications Inc. Jul-Sep2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul-Sep2024
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      pub: Sage Publications Inc.
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        atl: Improving uptake of population health management through scalable analysis of linked electronic health data.
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          Varady, Andras B
          Wood, Richard M
        affil: Modelling and Analytics (BNSSG ICB), UK National Health Service, Bristol, UK
      sug:
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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