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Developing Criteria and Associated Instructions for Consistent and Useful Quality Improvement Study Data Extraction for Health Systems.

Adrian V HernandezYuani M RomanC Michael White
Published in: Journal of general internal medicine (2020)
Creating explicit instructions for extracting data for quality improvement studies helps enhance the consistency of data extraction. This is important because it is difficult for LHS to vet these quality improvement studies on their own and they would value AHRQ's support in that regard.
Keyphrases
  • quality improvement
  • electronic health record
  • patient safety
  • big data
  • case control
  • machine learning
  • artificial intelligence