PT - JOURNAL ARTICLE AU - Tiago Jacinto AU - Kjell Alving AU - Eduardo Burnay AU - Ana Sá-Sousa AU - Ricardo Correia AU - João Fonseca TI - FeNO interpretation aid: A clinical decision support tool for interpretation of FeNO values in the patients with respiratory symptoms DP - 2011 Sep 01 TA - European Respiratory Journal PG - 3211 VI - 38 IP - Suppl 55 4099 - http://erj.ersjournals.com/content/38/Suppl_55/3211.short 4100 - http://erj.ersjournals.com/content/38/Suppl_55/3211.full SO - Eur Respir J2011 Sep 01; 38 AB - Background: Exhaled nitric oxide (FeNO) is a validated non-invasive biomarker of airways inflammation that is easy to measure, and gives immediate results. Its use has been increasing recently in routine care. Several individual factors that affect FeNO values have been identified, including age, height, weight, sex, atopy and smoking habits. These can cause difficulties in the interpretation of FeNO values.Aims: To design and develop a Clinical Decision Support System (CDSS) that classifies the FeNO values taking into consideration the individual characteristics of a patient. Specific aims are: 1) to define the information model and specifications 2) to retrieve from published literature data to setup the knowledge base; and 3) to develop the CDSS and present a functional beta version for public evaluation.Methods: Collaborative development with multidisciplinary meetings between healthcare professionals and computer scientists. Systematic review of factors affecting FeNO and reference values. Development of a web-based CDSS.Results: We have outlined the model and specifications of the CDSS, including feature description, information model, taxonomic description, clinical workflow integration and software and hardware requirements. In the systematic review, 10 studies met the selection criteria and were used to form the datasets for the Knowledge Base of the CDSS. A web-based CDSS, that is compliant with common standards, was developed using HTML, PHP, Javascript and CSS.Conclusion: The CDSS was successfully developed, based on the best available medical knowledge, and is accessible online for testing at http://feno.med.up.pt.