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Comparing Medical Record Abstraction (MRA) Error Rates in an Observational Study to Pooled Rates Identified in the Data Quality Literature.
Garza MY, Williams TB, Ounpraseuth S, Hu Z, Lee J, Snowden J, Walden AC, Simon AE, Devlin LA, Young LW, Zozus MN. Garza MY, et al. Res Sq [Preprint]. 2023 Mar 27:rs.3.rs-2692906. doi: 10.21203/rs.3.rs-2692906/v1. Res Sq. 2023. Update in: BMC Med Res Methodol. 2024 Dec 18;24(1):304. doi: 10.1186/s12874-024-02424-x PMID: 37034600 Free PMC article. Updated. Preprint.
Training as an Intervention to Decrease Medical Record Abstraction Errors Multicenter Studies.
Zozus MN, Young LW, Simon AE, Garza M, Lawrence L, Ounpraseuth ST, Bledsoe M, Newman-Norlund S, Jarvis JD, McNally M, Harris KR, McCulloh R, Aikman R, Cox S, Malloch L, Walden A, Snowden J, Chedjieu IM, Wicker CA, Atkins L, Devlin LA. Zozus MN, et al. Stud Health Technol Inform. 2019;257:526-539. Stud Health Technol Inform. 2019. PMID: 30741251 Free PMC article.
Near Real Time EHR Data Utilization in a Clinical Study.
Penning ML, Blach C, Walden A, Wang P, Donovan KM, Garza MY, Wang Z, Frund J, Syed S, Syed M, Del Fiol G, Newby LK, Pieper C, Zozus M. Penning ML, et al. Among authors: garza my. Stud Health Technol Inform. 2020 Jun 16;270:337-341. doi: 10.3233/SHTI200178. Stud Health Technol Inform. 2020. PMID: 32570402 Free PMC article.
39 results