LabCompass

Christopher A. Harle

Health Professions · Indiana University

OpenAlex ORCID
Electronic Health Records SystemsOpioid Use Disorder TreatmentPain Management and Opioid UseFood Security and Health in Diverse PopulationsMusculoskeletal pain and rehabilitation

Publications

178

Citations

3,563

Est. group size

—

Recurring co-author estimate

Active years

23

Publishing since 2004

Research summary
AI-generated

Christopher A. Harle studies how health information technology and data science can improve patient care, especially in primary care settings. His recent work focuses on building and testing machine-learning tools and clinical decision support systems to predict risks such as opioid use disorder, overdose, and falls in older adults, while also examining how electronic health record data can be used responsibly in research. Much of this research combines computer methods with interviews and studies of how clinicians and organizations adopt these tools.

Electronic health records and clinical informaticsMachine learning for risk predictionClinical decision support toolsOpioid use and pain managementCare for older adults and telemedicine

Publication activity has been steady and fairly high over the past decade, generally producing over a dozen papers per year with an average of about 12 in the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 12.2/year recently
2017: 9 publications172018: 17 publications182019: 14 publications192020: 17 publications202021: 17 publications212022: 18 publications18222023: 9 publications232024: 17 publications242025: 14 publications252026: 3 publications26
Recent publications
Publishes in
  • Journal of the American Medical Informatics Association×13
  • AMIA×9
  • Journal of Clinical and Translational Science×7
  • PubMed×7
  • JAMIA Open×5

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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