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Automating Venous Thromboembolism Risk Calculation Using Electronic Health Record Data upon Hospital Admission: The Automated Padua Prediction Score.

Authors
  • Elias, Pierre1, 2
  • Khanna, Raman2
  • Dudley, Adams3
  • Davies, Jason4
  • Jacolbia, Ronald2
  • McArthur, Kara5
  • Auerbach, Andrew D2
  • 1 Department of Medicine, Columbia University Medical Center, New York, New York, USA.
  • 2 Division of Hospital Medicine, University of California San Francisco, San Francisco, CA, USA.
  • 3 Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA, USA.
  • 4 Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
  • 5 Abramson Center for the Future of Health, University of Houston, Houston, TX, USA.
Type
Published Article
Journal
Journal of hospital medicine
Publication Date
Apr 01, 2017
Volume
12
Issue
4
Pages
231–237
Identifiers
DOI: 10.12788/jhm.2714
PMID: 28411291
Source
Medline
License
Unknown

Abstract

Automated calculation of VTE risk had similar ability to predict hospital-acquired VTE as manual calculation despite differences in how often specific scoring criteria were considered present by the 2 methods. Journal of Hospital Medicine 2017;12: 231- 237.

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