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The Semantic Clinical Artificial Intelligence (SCAI) Chatbot: Preliminary Usability Testing

  • Melissa Resnick
  • , Aaron Elkin
  • , Samuel Tiosano
  • , Ross Koppel
  • , Gillian Franklin
  • , Muhammad Usman Piracha
  • , Kevin Taylor
  • , Kaity Tung
  • , Steven Brown
  • , Jonathan Nebeker
  • , Peter Elkin
  • SUNY Buffalo
  • VA Western New York Health Care System
  • University of Pennsylvania
  • Department of Veterans Affairs

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

Abstract

We developed a doctor-facing chatbot named SCAI. We aimed to evaluate response speed and user satisfaction. Ten questions were used to test the response speed of the SCAI chatbot. The response time was long, but overall the participants were satisfied with SCAI.

Original languageEnglish
Title of host publicationContext Sensitive Health Informatics
Subtitle of host publicationAI for Social Good - Proceedings of CSHI 2025
EditorsHadiza Ismaila, Linda Dusseljee-Peute, Romaric Marcilly, Peter L. Elkin, Craig E. Kuziemsky, Christian Nohr, Bethany A. Van Dort, Rebecca Randell
PublisherIOS Press BV
Pages22-26
Number of pages5
ISBN (Electronic)9781643685946
DOIs
StatePublished - May 12 2025
Event7th International Conference on Context Sensitive Health Informatics: AI for Social Good, CSHI 2025 - Bradford, United Kingdom
Duration: May 23 2025May 24 2025

Publication series

NameStudies in Health Technology and Informatics
Volume326
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference7th International Conference on Context Sensitive Health Informatics: AI for Social Good, CSHI 2025
Country/TerritoryUnited Kingdom
CityBradford
Period05/23/2505/24/25

Keywords

  • Artificial Intelligence
  • chatbot
  • evaluation
  • large language model
  • usability

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