Scholarlink

Clinical Decision Support Systems (CDSS) are “information systems designed to improve clinical decision making”. We review here the benefits, challenges, and barriers to the use of CDSS in medicine and in particular clinical allergology. CDSS can be described and classified according to the nature of the CDSS information and algorithms, targets, timing, integration with existing systems, users, and other characteristics. Effectiveness, risks, and limitations of the use of CDSS must be always considered, and guidelines for use and adopters are essential to maximize benefits. MASK-Air® and AllergyMonitor®-@IT2020, two examples of electronic CDSS for allergic rhinitis, and many other CDSS dedicated to the management of patients with asthma, chronic urticaria, atopic dermatitis, and other allergic diseases are presented. Lastly, the perspectives of this rapidly evolving and expanding area of digital health for allergology are discussed.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Clinical Decision Support Systems for Allergic Diseases and Asthma

  • 章节

  • 发表日期：

    2025年

查看全文
  • Paolo Maria Matricardi,
  • Jean Bousquet

摘要

Clinical Decision Support Systems (CDSS) are “information systems designed to improve clinical decision making”. We review here the benefits, challenges, and barriers to the use of CDSS in medicine and in particular clinical allergology. CDSS can be described and classified according to the nature of the CDSS information and algorithms, targets, timing, integration with existing systems, users, and other characteristics. Effectiveness, risks, and limitations of the use of CDSS must be always considered, and guidelines for use and adopters are essential to maximize benefits. MASK-Air® and AllergyMonitor®-@IT2020, two examples of electronic CDSS for allergic rhinitis, and many other CDSS dedicated to the management of patients with asthma, chronic urticaria, atopic dermatitis, and other allergic diseases are presented. Lastly, the perspectives of this rapidly evolving and expanding area of digital health for allergology are discussed.