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

Xipei Ren; Gabriele Spina; Babs Faber; Anna Geraedts

doi:10.1145/3334480.3383061

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

Xipei Ren
, Gabriele Spina
, Babs Faber
, Anna Geraedts

Eindhoven University of Technology
Department of Research and Business Development, HumanTotalCare B.V., Utrecht, AB, The Netherlands

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	English
Title of host publication	CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450368193
DOIs	https://doi.org/10.1145/3334480.3383061
Publication status	Published - 25 Apr 2020
Event	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/Territory	United States
City	Honolulu
Period	25/04/2020 → 30/04/2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 16 Peace, Justice and Strong Institutions

Keywords

Artificial intelligence
Intelligent decision support tool
Occupational healthcare
Stakeholder engagement

Access to Document

10.1145/3334480.3383061

Cite this

Ren, X., Spina, G., Faber, B., & Geraedts, A. (2020). Engaging stakeholders to design an intelligent decision support tool in the occupational health context. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Article 3383061 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3334480.3383061

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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.",

keywords = "Artificial intelligence, Intelligent decision support tool, Occupational healthcare, Stakeholder engagement",

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publisher = "Association for Computing Machinery",

booktitle = "CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems",

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Ren, X, Spina, G, Faber, B & Geraedts, A 2020, Engaging stakeholders to design an intelligent decision support tool in the occupational health context. in CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems., 3383061, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, Honolulu, United States, 25/04/2020. https://doi.org/10.1145/3334480.3383061

Engaging stakeholders to design an intelligent decision support tool in the occupational health context. / Ren, Xipei; Spina, Gabriele; Faber, Babs et al.
CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2020. 3383061 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

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

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U2 - 10.1145/3334480.3383061

DO - 10.1145/3334480.3383061

M3 - Conference contribution

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 -

Ren X, Spina G, Faber B, Geraedts A. Engaging stakeholders to design an intelligent decision support tool in the occupational health context. In CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2020. 3383061. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3334480.3383061

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

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Publication series

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UN SDGs

Keywords

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