Crowdsourcing knowledge discovery and innovations in medicine.
Crowdsourcing knowledge discovery and innovations in medicine.
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DOI：
10.2196/jmir.3761
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发表时间：
2014-09-19
影响因子：
7.4
通讯作者：
Stone, David J
中科院分区：
文献类型：
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作者：
Celi, Leo Anthony;Ippolito, Andrea;Stone, David J
临床医生面临着困难的治疗决策的背景下，没有很好地解决现有的证据，制定了基于研究。医学的数字化为临床医生提供了一个机会，让他们与研究人员和数据科学家合作，解决以前模棱两可、似乎无法解决的问题。但这些群体往往在孤立的环境中工作，不能有效地沟通或互动。临床医生通常被埋在日常实践的杂草和紧急情况，使他们不认识或采取行动的方式来提高知识发现。研究人员可能无法确定临床知识的差距。对于数据科学家来说，主要的挑战是在一个既不熟悉又复杂的领域中识别出什么是相关的。每一种领域的专家都可以贡献其他群体所没有的技能。“健康黑客马拉松”和“数据马拉松”，其中不同的参与者一起工作，可以利用目前现成的数字数据来发现新的知识。利用这些有才能但职能分工明确的群体的互补技能和专业知识，在系统层面制定创新。因此，知识发现过程同时得到民主化和改进，解决了真实的问题，支持了跨学科协作，并实现了创新。
Clinicians face difficult treatment decisions in contexts that are not well addressed by available evidence as formulated based on research. The digitization of medicine provides an opportunity for clinicians to collaborate with researchers and data scientists on solutions to previously ambiguous and seemingly insolvable questions. But these groups tend to work in isolated environments, and do not communicate or interact effectively. Clinicians are typically buried in the weeds and exigencies of daily practice such that they do not recognize or act on ways to improve knowledge discovery. Researchers may not be able to identify the gaps in clinical knowledge. For data scientists, the main challenge is discerning what is relevant in a domain that is both unfamiliar and complex. Each type of domain expert can contribute skills unavailable to the other groups. "Health hackathons" and "data marathons", in which diverse participants work together, can leverage the current ready availability of digital data to discover new knowledge. Utilizing the complementary skills and expertise of these talented, but functionally divided groups, innovations are formulated at the systems level. As a result, the knowledge discovery process is simultaneously democratized and improved, real problems are solved, cross-disciplinary collaboration is supported, and innovations are enabled.