Bringing cohort studies to the bedside: framework for a ‘green button’ to support clinical decision-making

Author:

Gallego Blanca1,Walter Scott R2,Day Richard O3,Dunn Adam G1,Sivaraman Vijay4,Shah Nigam5,Longhurst Christopher A6,Coiera Enrico1

Affiliation:

1. Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, NSW 2109, Australia

2. Centre for Health Systems & Safety Research, Australian Institute of Health Innovation, Macquarie University, Australia

3. St Vincent's Clinical School, University of New South Wales, St Vincent's Hospital, Sydney, Australia

4. Electrical Engineering & Telecommunications, University of New South Wales, Sydney, Australia

5. Biomedical Informatics Research, Stanford School of Medicine, CA 94305-5479, USA

6. Department of Pediatrics, Stanford School of Medicine, CA 94305-5208, USA

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.

Publisher

Future Medicine Ltd

Subject

Health Policy

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