Quality improvement

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• A framework for evaluating performance of LLM-based extraction from the electronic health record across different healthcare systems

  ESMO AI & Digital Oncology

  • Publication summary
  • Publications
  • Machine learning
  • Quality improvement
  • Data management
• Responsible AI in action: Flatiron's approach to AI fairness and bias assessment
  • Real-world evidence
  • Machine learning
  • Quality improvement
  • Methodology
  • Artificial intelligence
• Ensuring reliability of curated EHR-derived data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework

  arXiv

  • Publication summary
  • Publications
  • Machine learning
  • Quality improvement
  • Quality reporting
• A systematic approach towards missing lab data in electronic health records: A case study in non-small cell lung cancer and multiple myeloma

  CPT: Pharmacometrics & Systems Pharmacology

  • Publication summary
  • Publications
  • Quality improvement
  • Methodology
  • Multiple myeloma
  • Non-small cell lung cancer
• Implementation of a real-world data quality framework in an nationwide oncology electronic health record-derived database

  Value in Health

  • Publication summary
  • Publications
  • Quality improvement
  • Methodology
• Development of a time to treatment metric across an NCI designated academic health system

  ASCO Quality Care Symposium

  • Publications
  • Quality improvement
• Use of electronic health record data for quality reporting

  Journal of Oncology Practice

  • Publications
  • Clinical decision support
  • Quality improvement
  • Quality reporting