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Collective intelligence for translational medicine: Crowdsourcing insights and innovation from an interdisciplinary biomedical research community.


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Authors

Budge, Eleanor Jane 
Tsoti, Sandra Maria 
Howgate, Daniel James 
Sivakumar, Shivan 
Jalali, Morteza 

Abstract

Translational medicine bridges the gap between discoveries in biomedical science and their safe and effective clinical application. Despite the gross opportunity afforded by modern research for unparalleled advances in this field, the process of translation remains protracted. Efforts to expedite science translation have included the facilitation of interdisciplinary collaboration within both academic and clinical environments in order to generate integrated working platforms fuelling the sharing of knowledge, expertise, and tools to align biomedical research with clinical need. However, barriers to scientific translation remain, and further progress is urgently required. Collective intelligence and crowdsourcing applications offer the potential for global online networks, allowing connection and collaboration between a wide variety of fields. This would drive the alignment of biomedical science with biotechnology, clinical need, and patient experience, in order to deliver evidence-based innovation which can revolutionize medical care worldwide. Here we discuss the critical steps towards implementing collective intelligence in translational medicine using the experience of those in other fields of science and public health.

Description

This is the author accepted manuscript. The final version is available from Taylor & Francis via http://dx.doi.org/10.3109/07853890.2015.1091945

Keywords

Biomedical research, collective intelligence, crowdsourcing, interdisciplinary collaboration, research networks, translational medicine, Biomedical Research, Cooperative Behavior, Crowdsourcing, Humans, Intelligence, Interdisciplinary Communication, Organizational Innovation, Translational Research, Biomedical

Journal Title

Ann Med

Conference Name

Journal ISSN

0785-3890
1365-2060

Volume Title

47

Publisher

Informa UK Limited