Is it time for computable evidence synthesis?

Author:

Dunn Adam G123ORCID,Bourgeois Florence T34

Affiliation:

1. Centre for Health Informatics, Macquarie University, Sydney, New South Wales, Australia

2. Discipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia

3. Computational Health Informatics Program, Boston Children’s Hospital, Boston, Massachusetts, United States

4. Departments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, Massachusetts, United States

Abstract

Abstract Efforts aimed at increasing the pace of evidence synthesis have been primarily focused on the use of published articles, but these are a relatively delayed, incomplete, and at times biased source of study results data. Compared to those in bibliographic databases, structured results data available in trial registries may be more timely, complete, and accessible, but these data remain underutilized. Key advantages of using structured results data include the potential to automatically monitor the accumulation of relevant evidence and use it to signal when a systematic review requires updating, as well as to prospectively assign trials to already published reviews. Shifting focus to emerging sources of structured trial data may provide the impetus to build a more proactive and efficient system of continuous evidence surveillance.

Funder

National Library of Medicine

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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