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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Sentence-Level Cross-Referencing Improves Comprehension and Confidence in AI-Generated Patient-Friendly Radiology

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Summary

The format of AI-generated patient-friendly reports (PFRs) significantly impacts understanding. Sentence and block formats improve comprehension and confidence compared to dictionary formats, with sentence-based formats fostering the most trust.

Keywords:
Artificial intelligencecognitive ergonomicshealth literacyimaginguser-centered design

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Health Communication

Background:

  • Artificial intelligence (AI) is increasingly used to generate patient-friendly reports (PFRs) from complex medical information.
  • Optimizing the presentation format of AI-generated PFRs is crucial for effective patient understanding and engagement.

Purpose of the Study:

  • To evaluate how different formats of AI-generated PFRs influence laypeople's comprehension of medical information.
  • To compare the effectiveness of dictionary, block, and sentence-based PFR formats.

Main Methods:

  • A within-subjects study involving 116 participants.
  • Participants reviewed radiology reports with AI-generated PFRs in three formats: dictionary, block, and sentence-based.
  • Objective/subjective comprehension, confidence, and response time were measured.

Main Results:

  • Sentence and block formats significantly improved objective and subjective comprehension compared to the dictionary format.
  • The sentence-based format yielded the highest confidence levels, suggesting enhanced trust.
  • Response times were faster for sentence and block formats; longer reports and higher health confidence slowed responses.

Conclusions:

  • The presentation format of AI-generated PFRs is a critical factor in layperson comprehension and trust.
  • Sentence-based and block formats are superior to dictionary formats for PFRs.
  • User interface design plays a vital role in the effectiveness of AI-driven patient communication.