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Integrating Physiological Data Artifacts Detection With Clinical Decision Support Systems: Observational Study.

Shermeen NizamiCarolyn McGregorJames Robert Green
Published in: JMIR biomedical engineering (2021)
The framework features, including reusability, signal quality indicator standardization, scalability, and customizability, allow the evaluation and comparison of novel CDSS formulations. The optimal solution for a CDSS can then be hard-coded and integrated within clinical workflows for real-time implementation. The flexibility to serve different clinical needs and standardized component interoperability of the framework supports the potential for a real-time clinical implementation of AD.
Keyphrases
  • clinical decision support
  • electronic health record
  • primary care
  • healthcare
  • quality improvement
  • machine learning
  • climate change
  • label free
  • image quality
  • sensitive detection
  • clinical evaluation
  • dual energy