Clinical algorithms developed using machine learning are increasingly being integrated into diagnostic decision-making. However, concerns have been raised regarding whether these algorithms contain biases that affect their accuracy with diverse patient populations. Dandelion Health was funded by the Gordon and Betty Moore Foundation to develop a free public service for auditing machine learning-based clinical algorithms to provide structured feedback on algorithm performance and equity.
In this webinar, Elliott Green, co-founder and CEO, and Shivaani Prakash, MSc, PhD, head of data, from Dandelion Health will share about their program that uses an expansive de-identified dataset from millions of patient records so developers can build and test the performance of their algorithms across diverse types of patients. Sumant Ranji, MD, director of CoDEx, will moderate this session on why Dandelion launched the program, how it works, and what they’ve learned over the past year. Don't miss this opportunity to hear recent updates, and bring your questions for the Q&A.
Featured Speakers
Sumant Ranji, MD (Moderator) Inaugural Director, UCSF CoDEx
Director of Quality Improvement and Patient Safety, Division of Hospital Medicine at the Zuckerberg San Francisco General Hospital (ZSFG)
Dr. Ranji is a renowned leader in patient safety, quality improvement, and medical education. He first joined UCSF as a fellow in hospital medicine and clinical research, then went on to become a faculty member in the Division of Hospital Medicine at UCSF Health, where he held multiple leadership positions. As director of CoDEx, Dr. Ranji leads the center’s strategic planning and the execution of its work to champion diagnostic excellence research and build awareness of and engagement within the field.
Elliot Green Co-Founder and CEO, Dandelion Health
Following a career in finance, Mr. Green led exponential growth and acclaim for Oscar Health, TrialSpark (now Formation Bio), and Clarify Health through senior leadership roles. As senior vice president and general manager at Clarify Health, he drove improvements in the patient journey through real-world data and AI. Dandelion represents the culmination of all this experience as the team is creating a real-world data platform focused on transforming healthcare through precision analytics and clinical AI.
Shivaani Prakash, MSc, PhD Head of Data, Dandelion Health
Dr. Prakash is a health economist and data scientist who brings an in-depth understanding of complex healthcare data and data science modeling in healthcare. At Dandelion, she drives impact in the transition to precision medicine and equitable, AI-powered clinical care. Previously, Dr. Prakash served as a lead director of data science and co-lead of the COVID-19 Data and Modeling Center (CDMC) at CVS Health. She has also led data science teams at several health tech startups and worked as a lead researcher at an independent, nonprofit healthcare policy research institute.
About the Monthly Webinar Series
Dive headfirst into the future of healthcare innovation to unravel the most promising artificial intelligence (AI) advancements and approaches. At each event, CoDEx brings together the brightest minds in the field to share exclusive updates and challenges from projects underway with the potential to reshape the landscape of medical diagnosis. Through this monthly webinar series, you'll hear from visionary researchers, on-the-ground providers, and the next generation of diagnostic excellence leaders who will illuminate the path toward real-life improvements for healthcare delivery, health equity, and patient care and outcomes.
Disclaimer: This webinar is for educational purposes only. Such use does not constitute an endorsement or approval from UCSF of any organization, product, and/or service.
Add to Calendar2024-08-15 12:00:002024-08-15 13:00:00CoDEx's AI and Diagnosis Webinar Series - August Event - 8/15
A View from the Trenches: Validation of Clinical AI Algorithms at Scale
Thursday, August 15
View the Recording
About the Event
Clinical algorithms developed using machine learning are increasingly being integrated into diagnostic decision-making. However, concerns have been raised regarding whether these algorithms contain biases that affect their accuracy with diverse patient populations. Dandelion Health was funded by the Gordon and Betty Moore Foundation to develop a free public service for auditing machine learning-based clinical algorithms to provide structured feedback on algorithm performance and equity.
In this webinar, Elliott Green, co-founder and CEO, and Shivaani Prakash, MSc, PhD, head of data, from Dandelion Health will share about their program that uses an expansive de-identified dataset from millions of patient records so developers can build and test the performance of their algorithms across diverse types of patients. Sumant Ranji, MD, director of CoDEx, will moderate this session on why Dandelion launched the program, how it works, and what they’ve learned over the past year. Don't miss this opportunity to hear recent updates, and bring your questions for the Q&A.
Featured Speakers
Sumant Ranji, MD (Moderator)
Inaugural Director, UCSF CoDEx
Director of Quality Improvement and Patient Safety, Division of Hospital Medicine at the Zuckerberg San Francisco General Hospital (ZSFG)
Dr. Ranji is a renowned leader in patient safety, quality improvement, and medical education. He first joined UCSF as a fellow in hospital medicine and clinical research, then went on to become a faculty member in the Division of Hospital Medicine at UCSF Health, where he held multiple leadership positions. As director of CoDEx, Dr. Ranji leads the center’s strategic planning and the execution of its work to champion diagnostic excellence research and build awareness of and engagement within the field.
Elliot Green
Co-Founder and CEO, Dandelion Health
Following a career in finance, Mr. Green led exponential growth and acclaim for Oscar Health, TrialSpark (now Formation Bio), and Clarify Health through senior leadership roles. As senior vice president and general manager at Clarify Health, he drove improvements in the patient journey through real-world data and AI. Dandelion represents the culmination of all this experience as the team is creating a real-world data platform focused on transforming healthcare through precision analytics and clinical AI.
Shivaani Prakash, MSc, PhD
Head of Data, Dandelion Health
Dr. Prakash is a health economist and data scientist who brings an in-depth understanding of complex healthcare data and data science modeling in healthcare. At Dandelion, she drives impact in the transition to precision medicine and equitable, AI-powered clinical care. Previously, Dr. Prakash served as a lead director of data science and co-lead of the COVID-19 Data and Modeling Center (CDMC) at CVS Health. She has also led data science teams at several health tech startups and worked as a lead researcher at an independent, nonprofit healthcare policy research institute.
About the Monthly Webinar Series
Dive headfirst into the future of healthcare innovation to unravel the most promising artificial intelligence (AI) advancements and approaches. At each event, CoDEx brings together the brightest minds in the field to share exclusive updates and challenges from projects underway with the potential to reshape the landscape of medical diagnosis. Through this monthly webinar series, you'll hear from visionary researchers, on-the-ground providers, and the next generation of diagnostic excellence leaders who will illuminate the path toward real-life improvements for healthcare delivery, health equity, and patient care and outcomes.
For updates and future invitations, join our mailing list.
Disclaimer: This webinar is for educational purposes only. Such use does not constitute an endorsement or approval from UCSF of any organization, product, and/or service.
Coordinating Center for Diagnostic ExcellenceAmerica/Los_Angelespublic
