About the Event
“Using Artificial Intelligence to Reduce Heart Failure Readmissions”
Presented by Syed Hamzah Ali, M.D., Inpatient Chief Resident, Department of Internal Medicine
Learning Objectives
By the end of this presentation, the audience participant should be able to:
- Identify major patient-, provider- and system-level drivers of heart failure readmissions.
- Describe current and emerging applications of artificial intelligence in heart failure care, including risk prediction, discharge planning and patient education.
- Evaluate the role of health literacy, discharge communication and AI-assisted interventions in reducing heart failure readmissions.
For more information, contact Lyndsey Loughran.
Target Audience
- Primary: Department of Internal Medicine faculty, residents and fellows; associate providers
- Secondary: Medical students, Family Medicine faculty and residents
Attributes/Competencies
This activity has been designed to promote some of the following desired physician attributes and competencies:
- ACGME: Patient Care, Medical Knowledge, Practice-based Learning and Improvement, Professionalism, Systems-based Practice
- IOM: Provide Patient-centered Care, Work with Interdisciplinary Teams; Use Evidence-Based Practice; Apply Quality Improvement
- IECC: Interprofessional Communication; Interprofessional Teamwork and Team-based Practice
Speaker & Planner Disclosure
The speakers and planners of this educational activity have no relevant financial relationship(s) with ineligible companies to disclose.
The planners of this educational activity have no relevant financial relationship(s) with ineligible companies to disclose.
The CME Advisory Committee, reviewers of this educational activity, have no relevant relationship(s) with ineligible companies to disclose.
Accreditation Statement
The University of Texas at Austin Dell Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The University of Texas at Austin Dell Medical School designates this internet live course for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.