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

Andras B VaradyRichard M Wood
Published in: Health informatics journal (2024)
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.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • public health
  • deep learning
  • health information
  • working memory
  • case report
  • convolutional neural network
  • mass spectrometry
  • social media
  • liquid chromatography