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SIG | Genetics: Astute Clinical Observation vs. Data Analytics

Friday, December 3, 2021
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OVERVIEW: 

How do we improve in our understanding and care of patients with genetic epilepsies? This session debates big data mining approaches (e.g., PELHS) against the astute observations of thoughtful clinicians (e.g., Charlotte Dravet).

The Genetics Special Interest Group has a history of presenting cartoonish, caricaturized strawmen beating each other up for education and entertainment. In this spirit of this SIG, we anticipate an impassioned debate between zealous enthusiasts. It is the promise of the future and the glory of the past. It is quantity of observations and quality of observations. Ultimately, the opposing viewpoints will be reconciled and the audience will come to a deeper appreciation of the topic.

Learning Objectives:

Following participation in this activity, participants will be able to:

  • Discuss the promise and limitations of health data analytics for progress in the genetic epilepsies
  • Describe the role that astute clinical observation has played in progress of genetic epilepsies to date
  • Illustrate how to improve the ability of data analytics to deliver meaningful results

Program:

SIG Coordinators: Tristan Sands, MD, PhD, Alicia Goldman, MD, PhD, MS, FAES, and Dennis Lal, PhD

Chair: Tristan Sands, MD, PhD

Co-Chair: Alicia Goldman, MD, PhD, MS, FAES

Progress in Genetic Epilepsies: Introduction | Tristan Sands, MD, PhD

Astute Clinical Observation | M. Roberta Cilio, MD, PhD

Data Analytics | Zachary Grinspan, MD, MS, FAES

Education Credit:

1.5 Nursing Contact Hours 

1.5 Pharmacy Contact Hours

1.5 CME

Activity Type
Special Interest Group
Credit
CME
CE
Format
In person
On-demand
Career Stage
Early Career (typically 0-5 years from completion of training)
Mid-Career (typically 6-15 years from completion of training)
Senior (typically >15 years from completion of training)
Audience
Advocates
Advanced Practice Providers
Behavioral Health Providers
Clinicians
Fellows/Trainees
Nurses
Pharmacists
Scientists/Researchers
Technicians
Demographic
Clinical
First-time Attendees
Research
Young Professionals