Artificial Intelligence Tools to Improve Provider Effectiveness and Patient Outcomes

Event Date: March 18, 2025 | 2:30pm – 4:00pm ET

Event Materials:

  • Presentation Slides (PDF, 10.11 MB).
  • Q&A (PDF, 146 KB)

Description:

Artificial intelligence (AI) consistently ranks as the most exciting emerging technology among clinicians, healthcare executives, and researchers, due to its potential to transform healthcare delivery. AI is becoming increasingly important for its potential to enhance clinician productivity, improve quality of care, and increase patients’ engagement in their own care. It also has the potential to streamline patient access to care and personalize medical treatments by leveraging analytics to mine significant, previously untapped stores of unstructured clinical data. AHRQ’s expert panel of speakers shared valuable insights from their research leveraging AI tools to improve provider effectiveness and patient outcomes in clinical care settings.

Learning Objectives:

  • Discuss how an AI algorithm can be developed into an EHR-based clinical decision support tool and optimized for use in the emergency department to improve diagnostic accuracy.
  • Describe how AI tools can simplify complex and voluminous patient data into enhanced data visualizations that support clinical decision-making, facilitate earlier interventions, and reduce cognitive load for providers.
  • Identify strategies for integrating AI algorithms into the clinical workflow to enhance efficiency, reduce false positives, and ensure timely diagnostic follow-up imaging. 

Speakers:

Jeremiah Hinson

Jeremiah Hinson, M.D., Ph.D.
Associate Professor, Emergency Medicine, Co-Director Center for Data Science in Emergency Medicine
John Hopkins University
Jessica Keim Malpass

Jessica Keim Malpass, R.N., N.P., Ph.D.
Associate Professor, Pediatrics and Nursing, Pediatric Hematology-Oncology Nurse Practitioner
University of Virginia
William Hsu

William Hsu, Ph.D.
Professor, Radiological Sciences and Bioengineering
University of California, Los Angeles

Moderator:

Stephanie R. Pitts

LCDR Stephanie R. Pitts, Ph.D., CPH
Health Scientist Administrator
Division of Digital Healthcare Research, Center for Evidence and Practice Improvement, AHRQ

Eligible providers can earn up to 1.5 CE/CME contact hours for participating in the live webinar.

If you have questions, please contact DigitalHealthcareResearch@ahrq.hhs.gov.