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Estimating Clinical Trial Bleeding Events Using Electronic Health Record Data.

Publication ,  Journal Article
Eisenstein, EL; Wojdyla, D; Kong, DF
Published in: Stud Health Technol Inform
2019

Clinical trials conducted for regulatory approval may include outcomes that are informative but not routinely collected in clinical practice. This situation can be problematic when pragmatic clinical trials (PCT) seek to use electronic health record (EHR) data to test the effectiveness of medical products and services in actual practice settings. We use TIMI bleeding events to illustrate how a complex clinical trial endpoint can be implemented using EHR data. While we were able to demonstrate that our EHR-defined bleeding events were associated with differences in patient clinical outcomes, we are not confident that these measurements could be replicated in other locations with consistent reliability and validity. We believe the development of PCT endpoint definitions is an important issue that should be addressed by medical and informatics professional societies, regulators and the medical products industry.

Duke Scholars

Published In

Stud Health Technol Inform

EISSN

1879-8365

Publication Date

2019

Volume

257

Start / End Page

92 / 97

Location

Netherlands

Related Subject Headings

  • Reproducibility of Results
  • Outcome Assessment, Health Care
  • Medical Informatics
  • Humans
  • Hemorrhage
  • Endpoint Determination
  • Electronic Health Records
  • Clinical Trials as Topic
  • 4601 Applied computing
  • 4203 Health services and systems
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Eisenstein, E. L., Wojdyla, D., & Kong, D. F. (2019). Estimating Clinical Trial Bleeding Events Using Electronic Health Record Data. Stud Health Technol Inform, 257, 92–97.
Eisenstein, Eric L., Daniel Wojdyla, and David F. Kong. “Estimating Clinical Trial Bleeding Events Using Electronic Health Record Data.Stud Health Technol Inform 257 (2019): 92–97.
Eisenstein EL, Wojdyla D, Kong DF. Estimating Clinical Trial Bleeding Events Using Electronic Health Record Data. Stud Health Technol Inform. 2019;257:92–7.
Eisenstein, Eric L., et al. “Estimating Clinical Trial Bleeding Events Using Electronic Health Record Data.Stud Health Technol Inform, vol. 257, 2019, pp. 92–97.
Eisenstein EL, Wojdyla D, Kong DF. Estimating Clinical Trial Bleeding Events Using Electronic Health Record Data. Stud Health Technol Inform. 2019;257:92–97.

Published In

Stud Health Technol Inform

EISSN

1879-8365

Publication Date

2019

Volume

257

Start / End Page

92 / 97

Location

Netherlands

Related Subject Headings

  • Reproducibility of Results
  • Outcome Assessment, Health Care
  • Medical Informatics
  • Humans
  • Hemorrhage
  • Endpoint Determination
  • Electronic Health Records
  • Clinical Trials as Topic
  • 4601 Applied computing
  • 4203 Health services and systems