American College of Clinical Pharmacy
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SCHEDULE

(AI)ming Higher: Artificial Intelligence in Frontline Clinical Practice and Technology in Guideline Development

Monday, October 14, 2024 from 9:00 AM to 10:30 AM MST at Convention Center North Building / Meeting Room 131

Available for 1.50 hours of CPE credit
Activity Number: 0217-0000-24-100-L05-P
Activity Type: An Application-Based Activity

The power and utility of Artificial intelligence and Augmented Intelligence continue to expand as new platforms and technologies emerge in our professional and personal lives. These tools have opened doors to new ways to capture patient specific data for monitoring treatment efficacy and outcomes. High level monitoring of large datasets in real time may provide insights into clinical decision making. The goal for this program will be to inform ACCP members on the newer methods and evolving practices for clinical analysis and guideline development. The goal of this session is to critically assess traditional monitoring of therapeutics, distill the complexities of AI into usable data for clinicians, and review the untapped potential of large data sets to project the population impact of new treatments as they become available. Limitations exist with the historical practices used to develop evidence-based guidelines. This session will review how big data, utilization of a rapid practice guideline approach, and use of natural language processing can help overcome the current confines of contemporary practice guideline development.

Learning Objectives

1. Outline artificial and augmented intelligence (AI) applications currently available in practice.

2. Evaluate opportunities to improve precision evidence incorporation into guideline development and implementation into clinical practice.

3. Assess barriers and ethical considerations regarding implementation and clinical applications of AI.

4. Describe how AI can help develop national and international practice guidelines.

5. Examine opportunities to utilize AI to implement national and international practice guidelines into clinical practice.

6. Illustrate how future AI applications can impact patient care and guideline development.

Lawrence J. Cohen, Pharm.D., FCCP
Moderator:Lawrence J. Cohen, Pharm.D., FCCP

Distinguished Professor of Pharmacotherapy
Coordinator of Interprofessional Education and Coordinator of Continuing Professional Education
University of North Texas
Fort Worth, Texas

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It’s Not Just for Data Geeks Anymore

9:00 AM to 9:30 AM
Adrian Wong, Pharm.D., MPH, FCCP, FCCM, BCCCP
Speaker:Adrian Wong, Pharm.D., MPH, FCCP, FCCM, BCCCP

Clinical Pharmacy Specialist
Beth Israel Deaconess Medical Center
Boston, Massachusetts

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Digging for Gold: Using Real-Time Data to Accelerate Guideline Updates

9:30 AM to 10:00 AM
Sandra L. Kane-Gill, Pharm.D., FCCP
Speaker:Sandra L. Kane-Gill, Pharm.D., FCCP

Professor of Pharmacy and Therapeutics
University of Pittsburgh, School of Pharmacy
Pittsburgh, Pennsylvania

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To Infinity and Beyond: Where Wearables, Guidelines and AI Converge

10:00 AM to 10:30 AM
Omar Badawi, Pharm.D., MPH, FCCM
Speaker:Omar Badawi, Pharm.D., MPH, FCCM

Chief for the Division of Data Sciences
US Telemedicine and Advanced Technology Research Center

  View Biography

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