Detalhe da pesquisa
1.
Measuring and controlling medical record abstraction (MRA) error rates in an observational study.
BMC Med Res Methodol
; 22(1): 227, 2022 08 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35971057
2.
User-centered design principles in the development of clinical research tools.
Clin Trials
; 17(6): 703-711, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32815381
3.
Evaluating common data models for use with a longitudinal community registry.
J Biomed Inform
; 64: 333-341, 2016 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27989817
4.
Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study.
JMIR Mhealth Uhealth
; 12: e54622, 2024 May 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38696234
5.
Leadership and administration to advance translational science: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs.
J Clin Transl Sci
; 7(1): e6, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36755532
6.
Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.
Clin Transl Sci
; 16(3): 398-411, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36478394
7.
Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines.
Contemp Clin Trials
; 126: 107110, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36738915
8.
Harnessing consumer wearable digital biomarkers for individualized recognition of postpartum depression using the All of Us Research Program dataset.
medRxiv
; 2023 Oct 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37873471
9.
Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature.
Res Sq
; 2023 Mar 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-37034600
10.
Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection.
Contemp Clin Trials
; 128: 107144, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36898625
11.
The N3C governance ecosystem: A model socio-technical partnership for the future of collaborative analytics at scale.
J Clin Transl Sci
; 7(1): e252, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38229902
12.
Error Rates of Data Processing Methods in Clinical Research: A Systematic Review and Meta-Analysis of Manuscripts Identified Through PubMed.
Res Sq
; 2023 Dec 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-38196643
13.
Economic analysis of a single institutional review board data exchange standard in multisite clinical studies.
Contemp Clin Trials
; 122: 106953, 2022 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-36202199
14.
Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Lancet Digit Health
; 4(7): e532-e541, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35589549
15.
Characteristics, Outcomes, and Severity Risk Factors Associated With SARS-CoV-2 Infection Among Children in the US National COVID Cohort Collaborative.
JAMA Netw Open
; 5(2): e2143151, 2022 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35133437
16.
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.
J Am Med Inform Assoc
; 29(4): 609-618, 2022 03 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-34590684
17.
Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies.
Stud Health Technol Inform
; 164: 82-8, 2011.
Artigo
em Inglês
| MEDLINE | ID: mdl-21335692
18.
Children with SARS-CoV-2 in the National COVID Cohort Collaborative (N3C).
medRxiv
; 2021 Jul 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-34341796
19.
The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction.
medRxiv
; 2021 Jan 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33469592
20.
Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative.
JAMA Netw Open
; 4(7): e2116901, 2021 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34255046