Grand Rounds

ZSFG Medicine Grand Rounds - MGR 23028

"Digital Automation and Machine Learning to Improve Health Outcomes in Resource Limited Environments: The ZSFG High Sensitivity Troponin Chest Pain Pathway"
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Lucas Zier, MD

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: 

  1. Review the current state of EHR based automation and machine learning
  2. Understand the potential impact of digital automation and machine learning to improve health outcomes in resource limited settings
  3. Learn the role of high sensitivity troponin testing in caring for patients with chest pain
  4. 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

Add to Calendar 2022-11-01 19:00:00 2022-11-01 20:00:00 ZSFG Medicine Grand Rounds - MGR 23028 Lucas Zier, MD 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 Melody Davenport-McLaughlin, [email protected] Department of Medicine America/Los_Angeles public