Artificial intelligence (AI) is reshaping health care, including how medications are used. On November 13, 2025, PQA hosted PQA Convenes: Artificial Intelligence in Medication Use Quality to bring together PQA members, health technology leaders, and other stakeholders for a discussion on how AI and machine learning are being used to identify, understand, and engage patients in their medication use.
This is the second blog in a four-part series on the event, and it covers the second session, “Evaluating Care Quality: Leveraging AI in Measurement and Quality Improvement.” Moderator Melissa Castora-Binkley was joined by Jeffery Geppert, Senior Research Leader from Battelle, Jenna Williams-Bader, Director of Quality Measurement from the National Quality Forum, and Edward Yurcisin, Chief Technology Officer from NCQA.
The panel discussed current use and future opportunities related to measure development, endorsement, implementation, and maintenance. Given the wide-ranging interactive panel discussion, no quotes or views are attributed to any panelists or organizations. The perspectives shared via this blog are intended to support continued dialogue about the role of AI in medication use quality.
Here are some of the top takeaways from the panel.
- AI expands the data frontier by opening the door to data that hasn’t previously been leveraged in quality measurement. For example, it can help utilize free-form text from medical records, ambient data from audio or video files, images, or genomic data.
- AI can be used to summarize and validate the evidence base underlying a measure by asking it to prove or disprove arguments and to triangulate results with human input and review for robust and reliable judgments of the evidence base.
- Questions remain regarding how AI should be used to capture the specific clinical aspect of a measure, whether tuning results should be allowed, and whether AI will enhance or erode trust in measurement.
- AI reduces burden by reducing the time associated with certain measurement-related tasks, but still requires human involvement for input, review, validation, and quality assurance at any point in the process it is being used. Instead of replacing humans, AI will expand what humans are able to do and how they do it.
- AI can do three things for measurement: make the science more predictable, the evidence more informative, and shift the industry from accountability for performance to accountability for transparency.
PQA Convenes: Artificial Intelligence in Medication Use Quality was made possible by the generous support of Arine, Merck, Pfizer and PQS by Innovaccer. PQA does not endorse, recommend or favor any organization, or its products or services. PQA general funds also supported this event.