Department of Pediatric Pulmonology, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Front Immunol. 2020 Sep 10;11:2116. doi: 10.3389/fimmu.2020.02116. eCollection 2020.
Clinical decision support systems (CDSS) aid health care professionals (HCP) in evaluating large sets of information and taking informed decisions during their clinical routine. CDSS are becoming particularly important in the perspective of precision medicine, when HCP need to consider growing amounts of data to create precise patient profiles for personalized diagnosis, treatment and outcome monitoring. In allergy care, several CDSS are being developed and investigated, mainly for respiratory allergic diseases. Although the proposed solutions address different stakeholders, the majority aims at facilitating evidence-based and shared decision-making, incorporating guidelines, and real-time clinical data. We offer here an overview on existing tools, new developments and novel concepts and discuss the potential of digital CDSS in improving prevention, diagnosis and monitoring of allergic diseases.
临床决策支持系统 (CDSS) 帮助医疗保健专业人员 (HCP) 在评估大量信息并在其临床常规中做出明智决策时提供帮助。在精准医学的视角下，CDSS 变得尤为重要，因为 HCP 需要考虑越来越多的数据，为个性化诊断、治疗和结果监测创建精确的患者档案。在过敏护理中，正在开发和研究几个 CDSS，主要针对呼吸道过敏性疾病。尽管提出的解决方案针对不同的利益相关者，但大多数旨在促进基于证据和共同决策，纳入指南和实时临床数据。我们在此提供有关现有工具、新进展和新概念的概述，并讨论数字 CDSS 在改善过敏疾病的预防、诊断和监测方面的潜力。
