Bringing cohort studies to the bedside

framework for a 'green button' to support clinical decision-making

Blanca Gallego*, Scott R. Walter, Richard O. Day, Adam G. Dunn, Vijay Sivaraman, Nigam Shah, Christopher A. Longhurst, Enrico Coiera

*Corresponding author for this work

Research output: Contribution to journalReview article

16 Citations (Scopus)
8 Downloads (Pure)

Abstract

When providing care, clinicians are expected to take note of clinical practice guidelines, which offer recommendations based on the available evidence. However, guidelines may not apply to individual patients with comorbidities, as they are typically excluded from clinical trials. Guidelines also tend not to provide relevant evidence on risks, secondary effects and long-term outcomes. Querying the electronic health records of similar patients may for many provide an alternate source of evidence to inform decision-making. It is important to develop methods to support these personalized observational studies at the point-of-care, to understand when these methods may provide valid results, and to validate and integrate these findings with those from clinical trials.

Original languageEnglish
Pages (from-to)191-197
Number of pages7
JournalJournal of Comparative Effectiveness Research
Volume4
Issue number3
DOIs
Publication statusPublished - 1 May 2015

Bibliographical note

Copyright the Author(s) 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • cohort studies
  • comparative effectiveness
  • electronic health records
  • personalized prognosis

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