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Challenges in using clinical data for AI-enabled diagnostic support

Mirela Prgomet, Getiye Dejenu Kibret, Judith Thomas, Tze Ping Loh, Kay Weng Choy, Andrea Horvath

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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Abstract

Secondary use of clinical data for research and algorithm development can present challenges. Using a multi-hospital, retrospective dataset, we examined laboratory values and corresponding recorded diagnoses across common tests. Unanticipated findings prompted further investigation, leading to the identification of key interpretive considerations when using routinely collected clinical data. We highlight three challenges: data quality and completeness; temporality and clinical context; and coding and governance constraints. These challenges have important implications for the development of AI-enabled tools in clinical settings.

Original languageEnglish
Title of host publicationOpening the Personal Gate between Technology and Health Care
Subtitle of host publicationProceedings of MIE 2026
EditorsMauro Giacomini, Jaime Delgado, Theodoros N. Arvanitis, Elisavet Andrikopoulou, Arriel Benis, Gabriella Balestra, Riccardo Bellazzi, Parisis Gallos, Roberto Gatta, Daniele Roberto Giacobbe, Noemi Giordano, Maria Hägglund, Lars Lindsköld, Lenka Lhotska, Sara Marceglia, Enea Parimbelli, Lucia Sacchi, Paolo Soda, Lăcrămioara Stoicu-Tivadar, Pierangelo Veltri, Patrizia Vizza
Place of PublicationAmsterdam
PublisherIOS Press
Pages514-515
Number of pages2
ISBN (Electronic)9781643686615
DOIs
Publication statusPublished - 21 May 2026
Event36th Medical Informatics in Europe Conference, MIE 2026 - Genoa, Italy
Duration: 25 May 202628 May 2026

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume336
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference36th Medical Informatics in Europe Conference, MIE 2026
Country/TerritoryItaly
CityGenoa
Period25/05/2628/05/26

Bibliographical note

Copyright the Author(s) 2026. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Artificial intelligence
  • clinical decision support
  • data quality
  • pathology

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