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EGEMS (Washington, DC)
|
February 4, 2017
Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets
Vojtech Huser, Frank J DeFalco, Martijn Schuemie, et al.
Journal of the American Medical Informatics Association : JAMIA
|
April 12, 2017
A longitudinal analysis of data quality in a large pediatric data research network
Ritu Khare, Levon Utidjian, Byron J Ruth, et al.
The Journal of Urology
|
August 5, 2022
Diagnostic Code-Based Screening for Identifying Children with Primary Hyperoxaluria
Gregory Tasian, Kimberley Dickinson, John Karafilidis, et al.
Pediatric Rheumatology Online Journal
|
January 31, 2026
Leveraging the PEDSnet clinical research network and electronic health record data to enhance efficiency of trial enrollment for a rare pediatric rheumatic disease
Pamela F Weiss, Levon Utidjian, Mitchell Maltenfort, et al.
Child and Adolescent Psychiatry and Mental Health
|
September 14, 2023
Electronic health records identify timely trends in childhood mental health conditions
Josephine Elia, Kathleen Pajer, Raghuram Prasad, et al.
European Journal of Pediatrics
|
July 1, 2023
The real world experience of pediatric primary hyperoxaluria patients in the PEDSnet clinical research network
Christina B Ching, Kimberley Dickinson, John Karafilidis, et al.
Pediatric Neurology
|
April 5, 2024
Retrospective Multicenter Cohort Study on Safety and Electroencephalographic Response to Lacosamide for Neonatal Seizures
Moninder Kaur, Levon Utidjian, Nicholas S Abend, et al.
Plos One
|
August 10, 2023
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
Vitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 4, 2023
A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER program
Vitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
BMJ Open
|
January 17, 2024
Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network
Annemarie G Hirsch, Sarah Conderino, Tessa L Crume, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 29) with videos related to
Sort By:
Page
of 3
EGEMS (Washington, DC)
|
February 4, 2017
Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets
Vojtech Huser, Frank J DeFalco, Martijn Schuemie, et al.
Journal of the American Medical Informatics Association : JAMIA
|
April 12, 2017
A longitudinal analysis of data quality in a large pediatric data research network
Ritu Khare, Levon Utidjian, Byron J Ruth, et al.
The Journal of Urology
|
August 5, 2022
Diagnostic Code-Based Screening for Identifying Children with Primary Hyperoxaluria
Gregory Tasian, Kimberley Dickinson, John Karafilidis, et al.
Pediatric Rheumatology Online Journal
|
January 31, 2026
Leveraging the PEDSnet clinical research network and electronic health record data to enhance efficiency of trial enrollment for a rare pediatric rheumatic disease
Pamela F Weiss, Levon Utidjian, Mitchell Maltenfort, et al.
Child and Adolescent Psychiatry and Mental Health
|
September 14, 2023
Electronic health records identify timely trends in childhood mental health conditions
Josephine Elia, Kathleen Pajer, Raghuram Prasad, et al.
European Journal of Pediatrics
|
July 1, 2023
The real world experience of pediatric primary hyperoxaluria patients in the PEDSnet clinical research network
Christina B Ching, Kimberley Dickinson, John Karafilidis, et al.
Pediatric Neurology
|
April 5, 2024
Retrospective Multicenter Cohort Study on Safety and Electroencephalographic Response to Lacosamide for Neonatal Seizures
Moninder Kaur, Levon Utidjian, Nicholas S Abend, et al.
Plos One
|
August 10, 2023
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
Vitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 4, 2023
A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER program
Vitaly Lorman, Hanieh Razzaghi, Xing Song, et al.
BMJ Open
|
January 17, 2024
Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network
Annemarie G Hirsch, Sarah Conderino, Tessa L Crume, et al.
Page
of 3