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ZSFG Medicine Grand Rounds - MGR 23028
Associate Clinical Professor of Medicine, UCSF Division of Cardiology at ZSFG
Disclosure: Presenter Lucas Zier, MD stated there are no financial relationships to disclose. Planners Jessie Holtzman, MD; Elizabeth Harleman, MD; and Melody Davenport-McLaughlin, BA stated there are no financial relationships to disclose.
Learning Objectives:
- Review the current state of EHR based automation and machine learning
- Understand the potential impact of digital automation and machine learning to improve health outcomes in resource limited settings
- Learn the role of high sensitivity troponin testing in caring for patients with chest pain
- Understand how clinical algorithms such as the ZSFG Troponin pathway can be automated and integrated with machine learning in the EMR to improve health outcomes
*Views or opinions expressed in MGR are those of the speakers and do not necessarily represent the views or opinions of the organizers or the UCSF DOM.
Accreditation: The University of California, San Francisco School of Medicine (UCSF) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
Designation: UCSF designates this live activity for a maximum of 64 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The above credit is inclusive of all Fiscal year 2022/2023 SFGH Medicine Grand rounds sessions.
Zoom Information
http://tiny.ucsf.edu/DOMGrandRounds
Meeting ID: 968 1679 7792
Password: 1001
Call-in: +1 669 900 6833, +1 213 338 8477, +1 669 219 259
This presentation will be recorded and is accessible through My Access
https://lecture.ucsf.edu/ets/Catalog/Full/ab21c2921423425398199ec7e0720d6a2