TY - GEN
T1 - Engaging stakeholders to design an intelligent decision support tool in the occupational health context
AU - Ren, Xipei
AU - Spina, Gabriele
AU - Faber, Babs
AU - Geraedts, Anna
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Intelligent decision support tool
KW - Occupational healthcare
KW - Stakeholder engagement
UR - http://www.scopus.com/inward/record.url?scp=85088296859&partnerID=8YFLogxK
U2 - 10.1145/3334480.3383061
DO - 10.1145/3334480.3383061
M3 - Conference contribution
AN - SCOPUS:85088296859
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Y2 - 25 April 2020 through 30 April 2020
ER -
