A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data MG Kahn, TJ Callahan, J Barnard, AE Bauck, J Brown, BN Davidson, ... Egems 4 (1), 2016 | 416 | 2016 |
Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory RL Richesson, WE Hammond, M Nahm, D Wixted, GE Simon, ... Journal of the American Medical Informatics Association 20 (e2), e226-e231, 2013 | 223 | 2013 |
Transparent reporting of data quality in distributed data networks MG Kahn, JS Brown, AT Chun, BN Davidson, D Meeker, PB Ryan, ... Egems 3 (1), 2015 | 150 | 2015 |
Evaluating common data models for use with a longitudinal community registry ZM Garza M, Del Fiol G, Tenenbaum J, Walden A J Biomed Inform 64, 333-341, 2016 | 142 | 2016 |
Quantifying data quality for clinical trials using electronic data capture ML Nahm, CF Pieper, MM Cunningham PloS one 3 (8), e3049, 2008 | 132 | 2008 |
Implementing Single Source: the STARBRITE proof-of-concept study R Kush, L Alschuler, R Ruggeri, S Cassells, N Gupta, L Bain, K Claise, ... Journal of the American Medical Informatics Association 14 (5), 662-673, 2007 | 114 | 2007 |
Internal audit of the Canadian Neonatal Network data collection system PS Shah, W Seidlitz, P Chan, S Yeh, N Musrap, SK Lee American journal of perinatology 34 (12), 1241-1249, 2017 | 110 | 2017 |
Data management plans: the missing perspective M Williams, J Bagwell, MN Zozus Journal of biomedical informatics 71, 130-142, 2017 | 83 | 2017 |
Factors affecting accuracy of data abstracted from medical records MN Zozus, C Pieper, CM Johnson, TR Johnson, A Franklin, J Smith, ... PloS one 10 (10), e0138649, 2015 | 76 | 2015 |
Synergies and distinctions between computational disciplines in biomedical research: perspective from the Clinical and Translational Science Award programs Acad Med 84 (7), 964-970, 2009 | 61 | 2009 |
A comparison of data quality assessment checks in six data sharing networks TJ Callahan, AE Bauck, D Bertoch, J Brown, R Khare, PB Ryan, J Staab, ... EGEMs 5 (1), 2017 | 56 | 2017 |
Data quality in clinical research M Nahm Clinical research informatics, 175-201, 2012 | 55 | 2012 |
The data book: collection and management of research data M Zozus Chapman and Hall/CRC, 2017 | 41 | 2017 |
What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997—2006 R Rostami, M Nahm, CF Pieper Clinical Trials 6 (2), 141-150, 2009 | 41 | 2009 |
Transforming French electronic health records into the Observational Medical Outcome Partnership's common data model: a feasibility study A Lamer, N Depas, M Doutreligne, A Parrot, D Verloop, MM Defebvre, ... Applied clinical informatics 11 (01), 013-022, 2020 | 40 | 2020 |
Application of machine learning in intensive care unit (ICU) settings using MIMIC dataset: systematic review M Syed, S Syed, K Sexton, HB Syeda, M Garza, M Zozus, F Syed, ... Informatics 8 (1), 16, 2021 | 37 | 2021 |
Assessing data quality for healthcare systems data used in clinical research (Version 1.0) MN Zozus, WE Hammond, BB Green, M Kahn, R Richesson, ... NIH Collaboratory, 2014 | 36 | 2014 |
The measurement to understand reclassification of disease of cabarrus/Kannapolis (MURDOCK) study community registry and biorepository NKL Bhattacharya S, Dunham AA, Cornish MA, Christian VA, Ginsburg GS ... Am J Transl Res 4 (4), 458–470, 2012 | 36 | 2012 |
Pragmatic (trial) informatics: a perspective from the NIH Health Care Systems Research Collaboratory RL Richesson, BB Green, R Laws, J Puro, MG Kahn, A Bauck, M Smerek, ... Journal of the American Medical Informatics Association 24 (5), 996-1001, 2017 | 35 | 2017 |
The MURDOCK Study: a long-term initiative for disease reclassification through advanced biomarker discovery and integration with electronic health records JD Tenenbaum, V Christian, MA Cornish, RJ Dolor, AA Dunham, ... American journal of translational research 4 (3), 291, 2012 | 35 | 2012 |