HIMSCast: What’s next for clinical informatics and decision support?

Health
By Liam

Among Dr.’s many clinical research interests Chris Harle, he has been focused on interoperable decision support tools for years, helping primary care providers move toward more guideline-recommended prescribing patterns with more intuitive EHR information design, AI-powered opioid prediction, and risk stratification. tools and other data-driven requirements 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 Indiana University’s Richard M. Fairbanks School of Public Health. He is also a research scientist in the Center for Biomedical Informatics at the affiliated Regenstrief Institute and a faculty member at IU’s Kelley School of Business.

To mark his recent induction into the American College of Medical Informatics, we spoke with Harle to learn more about the science of clinical and biomedical informatics – how he’s seen it evolve, where he thinks it’s going, and what that means for healthcare providers and patients. directly. He spoke about how AI 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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Talking points:

  • Harle’s work at Indiana University and the Regenstrief Institute

  • How medical and biomedical informatics has changed in recent years

  • How he sees them continuing to evolve with advanced analytics and AI

  • Ways in which IT systems for information management and clinical decision support can be improved

  • The importance of design and UX for effective computing

  • How can EHRs be better designed for better care delivery and better patient outcomes?

  • OneSheet – what it is and how it can help with chronic pain and safer prescribing

  • Encouraging GPs to think differently about prescribing choices

More about this episode:

HIMSCast: New analytics strategies for patient-centered pop health
Regenstrief and SNOMED announce new LOINC and SNOMED CT interoperability
AI NLP models extract SDOH data from clinical notes
Regenstrief is developing a framework to assess the accuracy of patient matching
The Indiana Health Information Exchange continues to lead the way
Research by Regenstrief shows that EHRs underperform in primary care

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