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Updated: Feb 7, 2026

Symptom Assessment of Patients with Allergic Rhinitis Using an Allergen Exposure Chamber
Published on: March 3, 2023
Electronic Clinical Decision Support System for allergic rhinitis management: MASK e-CDSS
Anne-Lise Courbis1, Ruth Brigid Murray2, Sylvie Arnavielhe3
1LGI2P, IMT Mines Ales, University of Montpellier, Ales, France.
The Allergy Diary Companion app integrates an electronic clinical decision support system (e-CDSS) to offer evidence-based treatment recommendations for allergic rhinitis (AR) management, enhancing patient care.
Area of Science:
- Medical Informatics
- Allergy and Immunology
- Digital Health
Background:
- Allergic rhinitis (AR) management has shifted towards disease control, supported by clinical decision support systems (CDSS) and mobile health (m-health) tools.
- Patient-focused apps like Allergy Diary have emerged, with a new app for healthcare providers, Allergy Diary Companion, set to launch.
Purpose of the Study:
- To develop an electronic version of the AR CDSS (e-CDSS) for the Allergy Diary Companion app.
- To detail the app's interfaces for e-CDSS data collection.
- To highlight key features of the Allergy Diary Companion.
Main Methods:
- Generation of AR treatment management scenarios.
- Achieving expert consensus on treatment recommendations.
- Developing and digitizing electronic algorithms for the e-CDSS.
- Embedding the e-CDSS into the app for user interaction.
Main Results:
- Expert consensus was reached on the AR CDSS approach and treatment recommendations.
- Decision algorithms were programmed into the Allergy Diary Companion app for iOS tablets.
- This represents a transparent and detailed description of m-health tool development.
Conclusions:
- The Allergy Diary Companion app offers guideline and expert-endorsed AR management recommendations for healthcare providers.
- The app aims to improve AR management through evidence-based, accessible tools.
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