Results 41 to 50 of about 264 (78)

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning Health Systems, Volume 4, Issue 4, October 2020., 2020
Abstract Introduction Electronic health record (EHR)‐driven phenotyping is a critical first step in generating biomedical knowledge from EHR data. Despite recent progress, current phenotyping approaches are manual, time‐consuming, error‐prone, and platform‐specific.
Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan T. Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen   +13 more
wiley   +1 more source

Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance

Learning Health Systems, Volume 9, Issue 2, April 2025.
Abstract Introduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues. (2) Identify issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance.
Keith Marsolo, Lesley Curtis, Laura Qualls, Jennifer Xu, Yinghong Zhang, Thomas Phillips, C. Larry Hill, Gretchen Sanders, Judith C. Maro, Daniel Kiernan, Christine Draper, Kevin Coughlin, Sarah K. Dutcher, José J. Hernández‐Muñoz, Monique Falconer   +14 more
wiley   +1 more source

Development of a Common Data Model for a Multisite and Multiyear Study of Virtual Visit Implementation: A Case Study. [PDF]

Med Care, 2023
Roblin DW, Rubenstein KB, Tavel HM, Goodrich GK, Ritzwoller DP, Certa JM, Basra SS, Weinfield NS, Cromwell LA, McDonald B, Davis TL, Gander JC, McCracken CE.   +12 more
europepmc   +1 more source

The Learning Healthcare (Data) System: Virtual Data Warehouse Data Capture Revisited

, 2016
Background/Aims: At the 2014 HCSRN annual meeting, Bachman and colleagues presented an excellent investigation into rates of encounters and drug fills at Virtual Data Warehouse (VDW) sites in order to evaluate (among other things) the VDW enrollment file’
Ng, Dan, Jordan, Celia, Cleveland, Catherine R, Hornbrook, Mark C, Harding, William H, Meier, Jeremy, Aumer, Susan M, Bachman, Don, Carmen C Wong, Hoch, Brian A, Catherine R Cleveland, Pardee, Roy E, William H Harding, Brian A Hoch, Wong, Carmen C, Don Bachman, Mathur, Priyam, Celia Jordan, Mark C Hornbrook, Dan Ng, Jeremy Meier, Priyam Mathur, Roy E Pardee, Susan M Aumer   +23 more
core   +1 more source

Association of Medical Assistant Virtual Rooming with Vital Signs Documentation and Health Behavior Screening in Patients with Diabetes. [PDF]

J Gen Intern Med, 2023
Somers M, Hsueh L, Huang J, Gopalan A, Mulley E, Graetz I, Reed M.   +6 more
europepmc   +1 more source

Geographical Displays of Health Care Data

, 2016
Background/Aims: The HCSRN Virtual Data Warehouse has geocoded data on all of its members and associated data from the U.S. Census and American Community Survey. We wish to show several novel ways of using that information to benefit health care research.
Mack, Christopher D, Christopher D Mack
core   +1 more source

Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium. [PDF]

J Clin Transl Sci, 2023
Steiner JS, Blum-Barnett E, Rolland B, Kraus CR, Wainwright JV, Bedoy R, Martinez YT, Alleman ER, Eibergen R, Pieper LE, Carroll NM, Hixon B, Sterrett A, Rendle KA, Saia C, Vachani A, Ritzwoller DP, Burnett-Hartman A.   +17 more
europepmc   +1 more source

Multimorbidity in patients with monoclonal gammopathy of undetermined significance. [PDF]

Int J Cancer, 2023
Epstein MM, Zhou Y, Castaneda-Avila MA, Cohen HJ.   +3 more
europepmc   +1 more source

A picture is worth a thousand words: advancing the use of visualization tools in implementation science through process mapping and matrix heat mapping. [PDF]

Implement Sci Commun, 2023
Salvati ZM, Rahm AK, Williams MS, Ladd I, Schlieder V, Atondo J, Schneider JL, Epstein MM, Lu CY, Pawloski PA, Sharaf RN, Liang SY, Burnett-Hartman AN, Hunter JE, Burton-Akright J, Cragun D.   +15 more
europepmc   +1 more source

Predicting short-term outcomes after transcatheter aortic valve replacement for aortic stenosis. [PDF]

Am Heart J, 2023
Savitz ST, Leong T, Sung SH, Kitzman DW, McNulty E, Mishell J, Rassi A, Ambrosy AP, Go AS.   +8 more
europepmc   +1 more source