Literature DB >> 30741183

eSource for Standardized Health Information Exchange in Clinical Research: A Systematic Review.

Maryam Garza1, Sahiti Myneni2, Amy Nordo3, Eric L Eisenstein3, W Ed Hammond3, Anita Walden1, Meredith Zozus1.   

Abstract

The availability of research and outcomes data is the primary limitation to evidence-based practice. Today, only a fraction of clinical decisions are based upon evidence derived from randomized control trials (RCTs), the gold-standard of knowledge discovery. At the same time, clinical trial complexity has steadily increased as has the effort required at clinical investigational sites. Direct use of electronic health record (EHR) data for clinical trials has the potential to address some of these needs, improving data quality and reducing cost.

Keywords:  clinical research; eSource; electronic health records; secondary data use

Mesh:

Year:  2019        PMID: 30741183

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  Evaluating the Coverage of the HL7 ® FHIR ® Standard to Support eSource Data Exchange Implementations for use in Multi-Site Clinical Research Studies.

Authors:  Maryam Y Garza; Michael Rutherford; Sahiti Myneni; Susan Fenton; Anita Walden; Umit Topaloglu; Eric Eisenstein; Karan R Kumar; Kanecia O Zimmerman; Mitra Rocca; Gideon Scott Gordon; Sam Hume; Zhan Wang; Meredith Zozus
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Evaluating Site-Level Implementations of the HL7 FHIR Standard to Support eSource Data Exchange in Clinical Research.

Authors:  Maryam Y Garza; Michael W Rutherford; Bhargav Adagarla; Eric Eisenstein; Karan R Kumar; Kanecia O Zimmerman; Umit Topaloglu; Meredith Zozus
Journal:  Stud Health Technol Inform       Date:  2021-05-27

3. 

Authors:  C Daniel
Journal:  Rev Med Interne       Date:  2020-04-17       Impact factor: 0.728

4.  Evaluation of the clinical application effect of eSource record tools for clinical research.

Authors:  Bin Wang; Xinbao Hao; Xiaoyan Yan; Junkai Lai; Feifei Jin; Xiwen Liao; Hongju Xie; Chen Yao
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-11       Impact factor: 2.796

5.  Measuring and controlling medical record abstraction (MRA) error rates in an observational study.

Authors:  Maryam Y Garza; Tremaine Williams; Sahiti Myneni; Susan H Fenton; Songthip Ounpraseuth; Zhuopei Hu; Jeannette Lee; Jessica Snowden; Meredith N Zozus; Anita C Walden; Alan E Simon; Barbara McClaskey; Sarah G Sanders; Sandra S Beauman; Sara R Ford; Lacy Malloch; Amy Wilson; Lori A Devlin; Leslie W Young
Journal:  BMC Med Res Methodol       Date:  2022-08-15       Impact factor: 4.612

  5 in total

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