Activity

Activity ID

12405

Expires

June 21, 2024

Format Type

Journal-based

CME Credit

1

Fee

$30

CME Provider: JAMA Network Open

Description of CME Course

In Bourgeois et al, the authors demonstrate the utility of electronic health record (EHR) data structures to systematically study an otherwise understudied population in the context of an ongoing pandemic. Furthermore, they provide an example of how to perform such analyses using data stored in different data models across different countries. Through the Consortium for Clinical Characterization of COVID-19 by EHR (4CE), data from 27 hospitals in 6 countries (from a larger consortium of global data from 351 hospitals from 7 countries) were combined to study COVID-19associated clinical outcomes in the pediatric population, uncovering findings of elevated markers of inflammation, evidence of abnormalities in coagulation, cardiac arrhythmias, viral pneumonia, and respiratory failure. This work adds further knowledge to the manifestations of COVID-19 in children and youth that have been previously studied in systematic reviews.

Disclaimers

1. This activity is accredited by the American Medical Association.
2. This activity is free to AMA members.

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Commercial Support?
No

NOTE: If a Member Board has not deemed this activity for MOC approval as an accredited CME activity, this activity may count toward an ABMS Member Board’s general CME requirement. Please refer directly to your Member Board’s MOC Part II Lifelong Learning and Self-Assessment Program Requirements.

Educational Objectives

To identify the key insights or developments described in this article

Keywords

Health Informatics, Coronavirus (COVID-19)

Competencies

Medical Knowledge

CME Credit Type

AMA PRA Category 1 Credit

DOI

10.1001/jamanetworkopen.2021.0304

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