The Potential of Clinical Decision Support Systems for Prevention, Diagnosis, and Monitoring of Allergic Diseases

Front Immunol. 2020 Sep 10:11:2116. doi: 10.3389/fimmu.2020.02116. eCollection 2020.

Abstract

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.

Keywords: CDSS; allergy; clinical decision support systems; digital health; prevention.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Decision Support Systems, Clinical / standards*
  • Diagnostic Tests, Routine
  • Evidence-Based Medicine
  • Humans
  • Hypersensitivity / diagnosis*
  • Monitoring, Physiologic
  • Practice Guidelines as Topic
  • Precision Medicine / methods*