Engaging stakeholders to design an intelligent decision support tool in the occupational health context

Xipei Ren, Gabriele Spina, Babs Faber, Anna Geraedts

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

2 Citations (Scopus)
81 Downloads (Pure)

Abstract

This paper presents a preliminary study for the hands- on creation of an intelligent decision support tool (IDST) for occupational health (OH) physicians. We addressed this challenge through an iterative design process consisting of three phases with different levels of stakeholder involvement, spanning from understanding the context to developing the concept and consolidating the design. We identified a set of design considerations that focused on enriching data collection, improving the accessibility of information, and blending the decision support into the workflow. To demonstrate these insights, we developed the concept of an AI-based OH consultation, called ConsultAI. ConsultAI is a conversational assistant that can provide real-time decision support to OH physicians during clinical interviews. Based on this case study, we discussed stakeholder engagement in the design of IDSTs for OH physicians.
Original languageEnglish
Title of host publicationThe 2020 ACM CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCHI'20 Extended Abstracts
PublisherAssociation for Computing Machinery, Inc
Number of pages8
ISBN (Electronic)978-1-4503-6819-3
DOIs
Publication statusPublished - 25 Apr 2020
Event2020 CHI Conference on Human Factors in Computing Systems - Hawaiʻi Convention Center, Honolulu, United States
Duration: 25 Apr 202030 Apr 2020
https://chi2020.acm.org

Conference

Conference2020 CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2020
CountryUnited States
CityHonolulu
Period25/04/2030/04/20
Internet address

Keywords

  • Artificial intelligence
  • Intelligent decision support tool
  • Occupational healthcare
  • Stakeholder engagement

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