Technology Webinar | Special Symposium: Observational Health Data Science

18 Oct 2021 9:00 PM 1 hour

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Brain & Mental Health Research Clinics

Technology Expert

About this Webinar


This is a FREE WEBINAR on Technology

Schedule : Oct 18th 2021 Time: 9:00 pm IST

Is this a LIVE WEBINAR : yes, this will be a live webinar

Is this an ONLINE WEBINAR : yes, you can attend this webinar online by clicking on the Button "Go To Event"

About the Speakers : 

Brain & Mental Health Research Clinics


About the Event :

The HBI’s Brain & Mental Health Research Clinics (BMRC) Initiative is hosting a special symposium on the importance of common data models in the advancement of observational health data science featuring Dr. Evan Minty as the guest speaker.

Presentation Synopsis

Standardization is a scaffold for scientific progress. Observational health data science has lacked a common ‘data scaffold’ for integrating observations together in ways that can support a scientific community’s joint efforts at delivering insights from the data that reflects the stories of patients.

The result has been siloed science, with little shared capacity or incentive to produce transparent results that can be externally validated. This has created an innate constraint on the rate of scientific progress, and an elevated risk that irreproducible results are applied at the point of care. It should concern us greatly that this is the accepted standard in the scientific domain that we are entrusting as a future pillar of learning health care systems.

In this talk, we will make the case for the importance of common data models in the advancement of observational health data science, exploring the Observational Health Data Science and Informatics (OHDSI) ‘common data model’ (CDM) in particular. We will highlight some of the tools built on top of this scaffold, and some of the work that has been done by the open science community that uses them.

About the Presenter

Dr. Minty is a General Internist at the Foothills Hospital and a member of the O’Brien Institute for Public Health at the University of Calgary. He completed his undergraduate degree in Biophysics at the University of British Columbia, MSc in Physics at the University of Alberta, and MSc in Biomedical Informatics through Stanford University. He is an ongoing affiliate of the Stanford Center for Biomedical Informatics Research (through the lab of Dr. Nigam Shah) and an active contributor to the Observational Health Data Science and Informatics (OHDSI) research community. Dr. Minty chairs the AHS Predictive Analytics work group, and has other roles supporting Connect Care knowledge architecture and decision support development.