Aligning AI Reporting with Medical Standards: insights from Care2report UI design

  • Vera Karssies
  • , Roy Schoonwater
  • , Rébecca Deneckère
  • , Elena Kornyshova
  • , Sjaak Brinkkemper
  • , Sandra van Dulmen

Research output: Contribution to journalConference articleAcademicpeer-review

Abstract

The growing administrative burden on healthcare professionals reduces their time for direct patient care. One key challenge is ensuring that AI-assisted medical reporting tools align with established medical conventions while remaining user-friendly. This study focuses on improving the user interface (UI) of Care2Report, a generative reporting software for healthcare, to enhance customization and compliance with medical standards. Through interviews, prototyping, and an observational study, this work defines seven key UI design guidelines that facilitate customization while maintaining adherence to medical documentation norms. It highlights the need for adaptable interfaces that accommodate diverse reporting preferences and terminology variations. By refining AI-generated reports to align with professional standards, this research contributes to the integration of AI-assisted documentation tools in medical workflows, ultimately improving reporting efficiency and accuracy.

Original languageEnglish
Pages (from-to)1946-1955
Number of pages10
JournalProcedia Computer Science
Volume270
DOIs
Publication statusPublished - 2025
Event29th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2025 - Osaka, Japan
Duration: 10 Sept 202512 Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier B.V.. All rights reserved.

Keywords

  • Customization
  • Generative Reporting
  • Medical Conventions
  • User Interface Design

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