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Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study.

Stephanie DramburgSerena PernaMarco Di FraiaSalvatore TripodiStefania ArasiSveva CastelliDanilo VillaltaFrancesca BuzzuliniIfigenia SfikaValeria VillellaEkaterina PotapovaMaria Antonia BrighettiAlessandro TravagliniPierluigi VerardoSimone PelosiPaolo Maria Matricardi
Published in: JMIR mHealth and uHealth (2022)
The percentage of changes in the trend of RTSS, CSMS, and VAS is a valuable candidate to validate the quality and accuracy of the data recorded by patients with allergic rhinitis during the pollen season. The performance of this parameter must be further investigated in real-life conditions before it can be recommended for routine use in apps and electronic diaries devoted to the management of patients with allergic rhinitis.
Keyphrases
  • allergic rhinitis
  • electronic health record
  • quality improvement
  • big data
  • healthcare
  • case report
  • clinical practice
  • artificial intelligence
  • mass spectrometry
  • patient reported