Budge Eleanor Jane, Tsoti Sandra Maria, Howgate Daniel James, Sivakumar Shivan, Jalali Morteza
a Keble College , University of Oxford , Oxford , UK.
b Faculty of Medicine , Imperial College London , London , UK.
Ann Med. 2015;47(7):570-5. doi: 10.3109/07853890.2015.1091945. Epub 2015 Oct 15.
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.
转化医学弥合了生物医学科学发现与其安全有效的临床应用之间的差距。尽管现代研究为该领域取得无与伦比的进展提供了巨大机遇,但转化过程仍然漫长。加快科学转化的努力包括促进学术和临床环境中的跨学科合作,以创建整合的工作平台,促进知识、专业技能和工具的共享,使生物医学研究与临床需求保持一致。然而,科学转化的障碍依然存在,迫切需要取得进一步进展。集体智慧和众包应用为全球在线网络提供了潜力,使各个领域之间能够建立联系并开展合作。这将推动生物医学科学与生物技术、临床需求和患者体验保持一致,从而实现基于证据的创新,有可能彻底改变全球医疗保健状况。在此,我们借鉴其他科学和公共卫生领域的经验,讨论在转化医学中实施集体智慧的关键步骤。