Detalhe da pesquisa
1.
Safety of intravenous lacosamide in hospitalized children and neonates.
Epilepsia
; 64(9): 2297-2309, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37287398
2.
The real world experience of pediatric primary hyperoxaluria patients in the PEDSnet clinical research network.
Eur J Pediatr
; 182(9): 4027-4036, 2023 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-37392234
3.
Skeletal Outcomes in Children and Young Adults with Glomerular Disease.
J Am Soc Nephrol
; 33(12): 2233-2246, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36171052
4.
Diagnostic Code-Based Screening for Identifying Children with Primary Hyperoxaluria.
J Urol
; 208(4): 898-905, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35930731
5.
Are there birth cohort effects in disparities in child obesity by maternal education?
Int J Obes (Lond)
; 45(3): 599-608, 2021 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33335294
6.
A Bayesian latent class approach for EHR-based phenotyping.
Stat Med
; 38(1): 74-87, 2019 01 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30252148
7.
Pediatric asthma hospitalizations among urban minority children and the continuity of primary care.
J Asthma
; 54(10): 1051-1058, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-28332939
8.
Multi-institutional Assessment of Otitis Media Epidemiology Using Real-world Data.
Int J Pediatr Otorhinolaryngol
; 179: 111921, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38582054
9.
Retrospective Multicenter Cohort Study on Safety and Electroencephalographic Response to Lacosamide for Neonatal Seizures.
Pediatr Neurol
; 155: 18-25, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38579433
10.
Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network.
BMJ Open
; 14(1): e073791, 2024 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-38233060
11.
Electronic health records identify timely trends in childhood mental health conditions.
Child Adolesc Psychiatry Ment Health
; 17(1): 107, 2023 Sep 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37710303
12.
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program.
PLoS One
; 18(8): e0289774, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37561683
13.
A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER program.
medRxiv
; 2022 Dec 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-36597534
14.
Testing an Automated Approach to Identify Variation in Outcomes among Children with Type 1 Diabetes across Multiple Sites.
Pediatr Qual Saf
; 7(5): e602, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-38584961
15.
Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources.
J Am Med Inform Assoc
; 28(7): 1401-1410, 2021 07 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-33682004
16.
Reducing electronic health record-related burnout in providers through a personalized efficiency improvement program.
J Am Med Inform Assoc
; 28(5): 931-937, 2021 04 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33166384
17.
Testing the Use of Data Drawn from the Electronic Health Record to Compare Quality.
Pediatr Qual Saf
; 6(4): e432, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34345748
18.
Standardizing Clinical Diagnoses: Evaluating Alternate Terminology Selection.
AMIA Jt Summits Transl Sci Proc
; 2020: 71-79, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32477625
19.
Use of EHR-Based Pediatric Quality Measures: Views of Health System Leaders and Parents.
Am J Med Qual
; 35(2): 177-185, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31115254
20.
Design and Refinement of a Data Quality Assessment Workflow for a Large Pediatric Research Network.
EGEMS (Wash DC)
; 7(1): 36, 2019 Aug 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31531382