Grand Rounds

Diagnosis: Teaching, Measuring, Innovating with Julia Adler-Milstein, Andrew Auerbach, and Gurpreet Dhaliwal

Department of Medicine Grand Rounds
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The critical thinking required to diagnose a patient’s condition is fundamental to our work as internists. Yet if done poorly, diagnostic errors and inequities can deeply harm patients – in fact, studies have shown that several hundred thousand patients die or suffer major harm from diagnostic mistakes each year. In this Grand Rounds, we’ll have three expert faculty explore fundamental issues in diagnosis, each seen through their specialized lenses of research, informatics, and education. We will explore the measurement of diagnostic errors, the ability to harness AI to enhance diagnostic reasoning, and the future of diagnostic excellence. This year, our department became the home of a national Coordinating Center for Diagnostic Excellence (CoDEx), funded by a $15 million grant from the Gordon and Betty Moore Foundation.

Speakers

Julia Adler-Milstein, PhD, is a professor of Medicine, chief of the Division of Clinical Informatics & Digital Transformation (DoC-IT), and director of the Center for Clinical Informatics & Improvement Research (CLIIR). She is also leading CoDEx. Julia is a leading researcher in health IT policy, with a specific focus on electronic health records, interoperability, and the use of EHR data to study clinician behavior.

Andrew Auerbach, MD, MPH, is a professor of Medicine in the Division of Hospital Medicine. He is a widely recognized leader in Hospital Medicine, having authored seminal research describing effects of hospital medicine systems on patient outcomes, costs, and care quality. He leads a 13-hospital research collaborative (“HOMERuN”) focused on new discoveries in healthcare delivery models in acute care settings.

Gurpreet Dhaliwal, MD, is a clinician-educator and professor of Medicine. He is also site director of the internal medicine clerkship at the San Francisco VA Medical Center, where he teaches medical students and residents in the ED, urgent care clinic, inpatient wards, and outpatient clinic. He is a Master Clinician and an award-winning educator with a focus on the cognitive processes underlying diagnostic reasoning and clinical problem-solving and the study of diagnostic expertise.

How to Attend

In Person:
N-217 (Nursing Building, enter through 521 Parnassus Avenue)
Lunch will be provided

On Zoom:
Join from a PC, Mac, iPad, iPhone or Android device:
https://ucsf.zoom.us/j/93868706312?pwd=ZWpzeHlNYmJzcUp3c1JxRWpyTGF2QT09
Webinar ID: 938 6870 6312
Passcode: 249803

By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833  or +1 346 248 7799  or +1 312 626 6799  or
+1 646 558 8656  or +1 253 215 8782  or +1 301 715 8592
International numbers available: https://ucsf.zoom.us/u/abBh6VatYU

Add to Calendar 2024-04-25 12:00:00 2024-04-25 13:00:00 Diagnosis: Teaching, Measuring, Innovating with Julia Adler-Milstein, Andrew Auerbach, and Gurpreet Dhaliwal The critical thinking required to diagnose a patient’s condition is fundamental to our work as internists. Yet if done poorly, diagnostic errors and inequities can deeply harm patients – in fact, studies have shown that several hundred thousand patients die or suffer major harm from diagnostic mistakes each year. In this Grand Rounds, we’ll have three expert faculty explore fundamental issues in diagnosis, each seen through their specialized lenses of research, informatics, and education. We will explore the measurement of diagnostic errors, the ability to harness AI to enhance diagnostic reasoning, and the future of diagnostic excellence. This year, our department became the home of a national Coordinating Center for Diagnostic Excellence (CoDEx), funded by a $15 million grant from the Gordon and Betty Moore Foundation. Speakers Julia Adler-Milstein, PhD, is a professor of Medicine, chief of the Division of Clinical Informatics & Digital Transformation (DoC-IT), and director of the Center for Clinical Informatics & Improvement Research (CLIIR). She is also leading CoDEx. Julia is a leading researcher in health IT policy, with a specific focus on electronic health records, interoperability, and the use of EHR data to study clinician behavior. Andrew Auerbach, MD, MPH, is a professor of Medicine in the Division of Hospital Medicine. He is a widely recognized leader in Hospital Medicine, having authored seminal research describing effects of hospital medicine systems on patient outcomes, costs, and care quality. He leads a 13-hospital research collaborative (“HOMERuN”) focused on new discoveries in healthcare delivery models in acute care settings. Gurpreet Dhaliwal, MD, is a clinician-educator and professor of Medicine. He is also site director of the internal medicine clerkship at the San Francisco VA Medical Center, where he teaches medical students and residents in the ED, urgent care clinic, inpatient wards, and outpatient clinic. He is a Master Clinician and an award-winning educator with a focus on the cognitive processes underlying diagnostic reasoning and clinical problem-solving and the study of diagnostic expertise. How to Attend In Person: N-217 (Nursing Building, enter through 521 Parnassus Avenue) Lunch will be provided On Zoom: Join from a PC, Mac, iPad, iPhone or Android device: https://ucsf.zoom.us/j/93868706312?pwd=ZWpzeHlNYmJzcUp3c1JxRWpyTGF2QT09 Webinar ID: 938 6870 6312 Passcode: 249803 By Phone (for higher quality, dial a number based on your current location): US: +1 669 900 6833  or +1 346 248 7799  or +1 312 626 6799  or +1 646 558 8656  or +1 253 215 8782  or +1 301 715 8592 International numbers available: https://ucsf.zoom.us/u/abBh6VatYU Department of Medicine America/Los_Angeles public