Evidence Hub: A place to exchange medical knowledge and form communities

IF 2.6 Q2 HEALTH POLICY & SERVICES
Kenny Hong, Druvinka Bandaranayake, Guy Tsafnat
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引用次数: 1

Abstract

Introduction

Medical knowledge is complex and constantly evolving, making it challenging to disseminate and retrieve effectively. To address these challenges, researchers are exploring the use of formal knowledge representations that can be easily interpreted by computers.

Methods

Evidence Hub is a new, free, online platform that hosts computable clinical knowledge in the form of “Knowledge Objects”. These objects represent various types of computer-interpretable knowledge. The platform includes features that encourage advancing medical knowledge, such as public discussion threads for civil discourse about each Knowledge Object, thus building communities of interest that can form and reach consensus on the correctness, applicability, and proper use of the object. Knowledge Objects are maintained by volunteers and published on Evidence Hub under GPL 2.0. Peer review and quality assurance are provided by volunteers.

Results

Users can explore Evidence Hub and participate in discussions using a web browser. An application programming interface allows applications to register themselves as handlers of specific object types and provide editing and execution capabilities for particular object types.

Conclusions

By providing a platform for computable clinical knowledge and fostering discussion and collaboration, Evidence Hub improves the dissemination and use of medical knowledge.

Abstract Image

证据中心:一个交流医学知识和建立社区的地方。
引言:医学知识是复杂且不断发展的,因此有效传播和检索具有挑战性。为了应对这些挑战,研究人员正在探索使用计算机可以轻松解释的形式知识表示。方法:Evidence Hub是一个新的、免费的在线平台,以“知识对象”的形式托管可计算的临床知识。这些对象表示各种类型的计算机可解释知识。该平台包括鼓励推进医学知识的功能,例如关于每个知识对象的民间话语的公共讨论线程,从而建立能够就对象的正确性、适用性和正确使用形成并达成共识的利益共同体。知识对象由志愿者维护,并在GPL2.0下发布在证据中心。同行评审和质量保证由志愿者提供。结果:用户可以使用web浏览器浏览证据中心并参与讨论。应用程序编程接口允许应用程序将其自身注册为特定对象类型的处理程序,并为特定的对象类型提供编辑和执行功能。结论:通过提供一个可计算临床知识的平台,促进讨论和合作,证据中心改进了医学知识的传播和使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
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