Among Dr. Chris Harle’s many clinical research interests, he has focused on interoperable decision support tools for years, helping primary care providers move toward guideline-compliant prescribing patterns through more intuitive EHR information design, AI-powered opioid prediction, and stratification risk tools and other data-driven imperatives related to provider experience, quality improvement, patient safety and population health.
Harle is professor and chair of the Department of Health Policy and Management at the School of Public Health. Richard M. Fairbanks at Indiana University. He is also a Research Fellow at the Regenstrief Institute-affiliated Center for Biomedical Informatics and an Affiliate Fellow at IU’s Kelley School of Business.
On the occasion of his recent induction into the American College of Medical Informatics, we spoke with Harlem to learn more about clinical and biomedical informatics – how he has seen it evolve, where he sees it heading, and what it means for providers and patients alike. He talked about how artificial intelligence is shaping CDC strategies, how better UX can make EHRs more effective, and his own initiative focused on safer prescribing for chronic pain.
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Discussion points:
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Harle’s work at Indiana University and the Regenstrief Institute
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How has medical and biomedical informatics changed over recent years
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How he sees their further development thanks to advanced analytics and artificial intelligence
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Ways to improve IT systems for information management and clinical decision support
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The importance of design and UX for effective IT
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How can EHRs be better designed to deliver better care and better patient outcomes?
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OneSheet – what it is and how it can facilitate you manage chronic pain and prescribe medications more safely
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Encouraging primary care physicians to think differently about prescribing options
More about this episode:
HIMSSCast: up-to-date analytics strategies for patient-centered pop health
Regenstrief and SNOMED announce up-to-date interoperability of LOINC and SNOMED CT
AI NLP models extract SDOH data from clinical notes
Regenstrief is developing a framework to assess patient matching accuracy
Indiana’s Health Information Exchange remains at the forefront
Regenstrief study shows that EHRs perform worse in primary care