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A novel method for continuous measurements of clinical practice guideline adherence.

Kees C W J EbbenCornelis D de KroonChanna E SchmeinkOlga L van der HelThijs van VegchelArturo Moncada-TorresIgnace H J T de HinghJurrian van der Werf
Published in: Learning health systems (2023)
The developed methodology can evaluate a guideline to identify potential improvements in recommendations and the success of the implementation strategy. In addition, it is able to identify patient and disease characteristics that influence decision-making in clinical practice. The method supports a cyclical process of developing, implementing and evaluating guidelines and can be scaled to other diseases and settings. It contributes to a learning healthcare cycle that integrates real-world data with external knowledge.
Keyphrases
  • clinical practice
  • healthcare
  • quality improvement
  • primary care
  • electronic health record
  • metabolic syndrome
  • machine learning
  • human health
  • skeletal muscle
  • social media
  • health insurance