Ugon Adrien, Jobez Emmanuel, Falcoff Hector, Jaulent Marie-Christine, Meneton Pierre, Favre Madeleine, Tsopra Rosy
ESIEE-Paris, Noisy-le-Grand, France.
Société de Formation Thérapeutique du Généraliste, France.
Stud Health Technol Inform. 2018;255:200-204.
Despite the success of artificial intelligence solutions in the recent years, physicians are still reticent to use integrated functionalities to support their decision. Methods used to create these functionalities can be divided into two groups, each being associated to different questions. Data-based methods are seen as black boxes for which it is impossible to understand how the decision is taken; knowledge-based methods need to rely on formalized knowledge sources on the basis of evidence, which can be discussed and criticized by physicians for their use in real life. This paper presents a new modular decision support system for the prevention of cardiovascular diseases, based on knowledge and on cooperative decision between the patient and the physician. The decision support system is based on two layers: (i) the first layer is a knowledge-based module which generates automatically patient profile, and prevention strategies associated to the profile; (ii) the second layer is a dynamic collaborative graphic user interface which displayed information about the risks of treatment adherence failure, personalized motivation and follow-up strategies. In the future, we aim at assessing the platform in real life.
尽管近年来人工智能解决方案取得了成功，但医生们仍然不愿使用集成功能来支持他们的决策。用于创建这些功能的方法可分为两类，每类都与不同的问题相关。基于数据的方法被视为黑匣子，无法理解其决策是如何做出的；基于知识的方法需要依赖基于证据的形式化知识来源，医生们可能会因其在现实生活中的应用而对其进行讨论和批评。本文提出了一种基于知识以及患者与医生之间的合作决策的新型模块化心血管疾病预防决策支持系统。该决策支持系统基于两层：（i）第一层是基于知识的模块，它会自动生成患者档案以及与该档案相关的预防策略；（ii）第二层是动态协作图形用户界面，它会显示有关治疗依从性失败风险、个性化激励和随访策略的信息。未来，我们旨在对该平台进行实际评估。
