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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.

Original publication

DOI

10.3109/07853890.2015.1091945

Type

Journal article

Journal

Ann med

Publication Date

2015

Volume

47

Pages

570 - 575

Keywords

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