AI in the EHR: What's in Use Today, What's Emerging And How Pharma Can Respond

AI in the EHR
Inside today’s EHRs, a shift is underway. What began as scattered pilot projects is evolving into something more transformative: AI tools that subtly change how clinicians capture information, move through a visit, and clear the administrative hurdles that slow patient care.
 
In this piece, James Harris, DHI, CPHIMS and Jaime Vogel trace that shift through the small, practical moments where AI is starting to matter. They explore how health systems are experimenting, where early wins are emerging, and why the path from pilot to real‑world impact is rarely straightforward.
 
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What you'll learn:

  • Which AI‑enabled workflows are gaining real traction inside major EHR platforms
  • How variation in governance, training, and workflow design shapes AI readiness across health systems
  • Where NLP is unlocking unstructured clinical data and enabling new patient‑finding opportunities
  • How AI is accelerating administrative steps like ordering and prior authorization
  • Five practical questions that reveal a health system’s true AI readiness and its impact on prescribing and access

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