Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change

William Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan Patton, Samina Abidi, Lalana Kagal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

There is an increasing shift towards the self-management of long-term chronic illness by patients in a home setting, supported by personal health electronic equipment. Among others, self-management requires comprehensive education on the illness, i.e., understanding the effects of nutritional, fitness, and medication choices on personal health; and long-term health behavior change, i.e., modifying unhealthy lifestyles that contribute to chronic illness. Smart health recommendations, generated using AI-based Clinical Decision Support (CDS), can guide patients towards positive nutritional, fitness, and health behavioral choices. Moreover, we posit that explaining these recommendations to patients, using Explainable AI (XAI) techniques, will effect education and positive behavior change. We present our work towards an explanation framework for rule-based CDS, called EXPLAIN (EXPLanations of AI In N3), which aims to generate human-readable, patient-facing explanations.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
EditorsMartin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages57-62
Number of pages6
ISBN (Print)9783031093418
DOIs
Publication statusPublished - 2022
Event20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada
Duration: Jun 14 2022Jun 17 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13263 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Country/TerritoryCanada
CityHalifax
Period6/14/226/17/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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