Lebanon, N.H.-based Dartmouth Health has built AI to filter patient portal messages and respond to patients.
Clinicians from the health system worked with Dartmouth computer science researchers and a Geisel School of Medicine associate professor to develop PortalPal, which uses AI to triage incoming messages and generate follow-up questions to patients.
“We want to encourage patients to interact with us through the patient portal, but we get a lot of messages,” said Tim Burdick, MD, associate professor of community and family medicine at the Geisel School of Medicine, in a June 25 Dartmouth article. “How do we respond to those messages in a timely fashion, and make sure that we’re responding to those messages with the right priorities?”
The researchers deployed large language models to judge the urgency of messages using publicly accessible online medical Q&A forums. They also employed anonymized patient data to assess which elements from patients’ charts would be most relevant for crafting follow-up questions. Dartmouth Health physicians and nurses then helped validate and refine the models.
Becker’s 3rd Annual Fall Chief Pharmacy Officer Summit is the top tier event that the people leading the future of pharmacy convene. This 3-day event is built specifically for Chief Pharmacy Officers and senior pharmacy leaders. The sessions examine the workforce, financial and clinical priorities shaping pharmacy today. Becker’s is where candid discussions flourish and new ideas thrive. Becker's 3rd Annual Fall Chief Pharmacy Officer Summit
