4.6 Review

Opportunities to use electronic health record audit logs to improve cancer care

Journal

CANCER MEDICINE
Volume 11, Issue 17, Pages 3296-3303

Publisher

WILEY
DOI: 10.1002/cam4.4690

Keywords

audit log; decision-making; digital health; electronic health records; informatics; quality and safety

Categories

Funding

  1. UC Berkeley--UCSF Joint Medical Program (Helen Marguerite Schoeneman Fund)
  2. UC Berkeley--UCSF Joint Medical Program (Joint Medical Program Thesis Grant) University of California
  3. Berkeley School of Public Health Alumni Association (William Griffiths Fellowship)
  4. UCSF Open Access Publishing Fund

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The rapid adoption of electronic health records has created a wealth of digitized data that can be used to improve care delivery and patient outcomes. In addition to clinical data, electronic health records also capture audit log data, which provide insights into user behavior and decision-making processes. This data can be utilized to enhance oncology care and outcomes.
The rapid adoption of electronic health records (EHRs) has created extensive repositories of digitized data that can be used to inform improvements in care delivery, processes, and patient outcomes. While the clinical data captured in EHRs are widely used for such efforts, EHRs also capture audit log data that reflect how users interact with the EHR to deliver care. Automatically collected audit log data provide a unique opportunity for new insights into EHR user behavior and decision-making processes. Here, we provide an overview of audit log data and examples that could be used to improve oncology care and outcomes in four domains: diagnostic reasoning and consumption, care team collaboration and communication, patient outcomes and experience, and provider burnout/fatigue. This data source could identify gaps in performance and care, physician uptake of EHR features that enhance decision-making, and integration of data trends for oncology. Ensuring researchers and oncologists are familiar with the data's potential and developing the data engineering capacity to utilize this rich data source, will expand the breadth of research to improve cancer care.

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