TY - JOUR
T1 - Pediatric data from the All of Us research program
T2 - Demonstration of pediatric obesity over time
AU - Giangreco, Nicholas P.
AU - Lina, Sulieman
AU - Qian, Jun
AU - Kouame, Aymone
AU - Subbian, Vignesh
AU - Boerwinkle, Eric
AU - Cicek, Mine
AU - Clark, Cheryl R.
AU - Cohen, Elizabeth
AU - Gebo, Kelly A.
AU - Loperena-Cortes, Roxana
AU - Mayo, Kelsey
AU - Mockrin, Stephen
AU - Ohno-Machado, Lucila
AU - Schully, Sheri D.
AU - Tatonetti, Nicholas P.
AU - Ramirez, Andrea H.
N1 - Publisher Copyright:
© 2021 Published by Oxford University Press on behalf of the American Medical Informatics Association.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - Objective: To describe and demonstrate use of pediatric data collected by the All of Us Research Program. Materials and Methods: All of Us participant physical measurements and electronic health record (EHR) data were analyzed including investigation of trends in childhood obesity and correlation with adult body mass index (BMI). Results: We identified 19 729 participants with legacy pediatric EHR data including diagnoses, prescriptions, visits, procedures, and measurements gathered since 1980. We found an increase in pediatric obesity diagnosis over time that correlates with BMI measurements recorded in participants' adult EHRs and those physical measurements taken at enrollment in the research program. Discussion: We highlight the availability of retrospective pediatric EHR data for nearly 20 000 All of Us participants. These data are relevant to current issues such as the rise in pediatric obesity. Conclusion: All of Us contains a rich resource of retrospective pediatric EHR data to accelerate pediatric research studies.
AB - Objective: To describe and demonstrate use of pediatric data collected by the All of Us Research Program. Materials and Methods: All of Us participant physical measurements and electronic health record (EHR) data were analyzed including investigation of trends in childhood obesity and correlation with adult body mass index (BMI). Results: We identified 19 729 participants with legacy pediatric EHR data including diagnoses, prescriptions, visits, procedures, and measurements gathered since 1980. We found an increase in pediatric obesity diagnosis over time that correlates with BMI measurements recorded in participants' adult EHRs and those physical measurements taken at enrollment in the research program. Discussion: We highlight the availability of retrospective pediatric EHR data for nearly 20 000 All of Us participants. These data are relevant to current issues such as the rise in pediatric obesity. Conclusion: All of Us contains a rich resource of retrospective pediatric EHR data to accelerate pediatric research studies.
KW - electronic health records
KW - medical informatics
KW - pediatrics
KW - public health informatics
KW - retrospective studies
UR - http://www.scopus.com/inward/record.url?scp=85139819639&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139819639&partnerID=8YFLogxK
U2 - 10.1093/jamiaopen/ooab112
DO - 10.1093/jamiaopen/ooab112
M3 - Article
AN - SCOPUS:85139819639
SN - 2574-2531
VL - 4
JO - JAMIA Open
JF - JAMIA Open
IS - 4
M1 - ooab112
ER -