PD and The Challenge of AI in Health-Care

Christopher Gyldenkærne; Jesper Simonsen; Troels Sune Mønsted; Gustav From

doi:10.1145/3384772.3385138

PD and The Challenge of AI in Health-Care

Christopher Gyldenkærne, Jesper Simonsen, Troels Sune Mønsted, Gustav From

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In its promise to contribute to considerable cost savings and improved patient care through efficient analysis of the tremendous amount of data stored in electronic health records (EHR), there is currently a strong push for the proliferation of artificial intelligence (AI) in health-care. We identify, through a study of AI being used to predict patient no-show’s, that for the AI to gain full potential there lies a need to balance the introduction of AI with a proper focus on the patients and the clinicians’ interests. We call for a Participatory Design (PD) approach to understand and reconfigure the socio-technical setup in health-care, especially where AI is being used on EHR data that are manually being submitted by health-care personnel.

Original language	English
Title of host publication	Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise
Editors	Chiara Del Gaudio, Leonardo Parra, Shana Agid
Number of pages	5
Volume	II
Publisher	Association for Computing Machinery
Publication date	15 Jun 2020
Pages	26-29
ISBN (Print)	issn 2150-5896
ISBN (Electronic)	ISSN 2150-590X, 978-1-4503-7606-8
DOIs	https://doi.org/10.1145/3384772.3385138
Publication status	Published - 15 Jun 2020
Event	The 16th biennial Conference on Participatory Design: Participation(s) otherwise - The Universidad de Caldas (online), Manizales, Colombia Duration: 15 Jun 2020 → 19 Jun 2020 Conference number: 16 https://www.pdc2020.org https://www.pdc2020.org/doctoral-colloquium/

Conference

Conference	The 16th biennial Conference on Participatory Design
Number	16
Location	The Universidad de Caldas (online)
Country/Territory	Colombia
City	Manizales
Period	15/06/2020 → 19/06/2020
Other	Online
Internet address	https://www.pdc2020.org https://www.pdc2020.org/doctoral-colloquium/

Series	P D C
ISSN	2150-5896

Keywords

Participatory Design
Artificial Intelligence
Electronic Health Record data
Primary- and Secondary Use data
Precision medicine

Link to document

10.1145/3384772.3385138

Preprint-pdc20vol2-15Submitted manuscript, 250 KBLicence: Other

1 Active

Effects-Driven IT Development
Simonsen, J., Hertzum, M., Granlien, M. S., Barlach, A., Karasti, T. H., Brandrup, M., Scheuer, J. D., Østergaard, K. L., Torkilsheyggi, A. M. Á., Gyldenkærne, C. & Bech, C. F.
The project is co-funded by CSC Scandihealth A/S, Ministry of Science, Technology and Innovation, and Region Zealand
01/01/2005 → 30/06/2023
Project: Research

Cite this

Gyldenkærne, C., Simonsen, J., Mønsted, T. S., & From, G. (2020). PD and The Challenge of AI in Health-Care. In C. Del Gaudio, L. Parra, & S. Agid (Eds.), Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise (Vol. II, pp. 26-29). Association for Computing Machinery. P D C https://doi.org/10.1145/3384772.3385138

Gyldenkærne, Christopher ; Simonsen, Jesper ; Mønsted, Troels Sune ; From, Gustav. / PD and The Challenge of AI in Health-Care. Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise. editor / Chiara Del Gaudio ; Leonardo Parra ; Shana Agid. Vol. II Association for Computing Machinery, 2020. pp. 26-29 (P D C).

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title = "PD and The Challenge of AI in Health-Care",

abstract = "In its promise to contribute to considerable cost savings and improved patient care through efficient analysis of the tremendous amount of data stored in electronic health records (EHR), there is currently a strong push for the proliferation of artificial intelligence (AI) in health-care. We identify, through a study of AI being used to predict patient no-show{\textquoteright}s, that for the AI to gain full potential there lies a need to balance the introduction of AI with a proper focus on the patients and the clinicians{\textquoteright} interests. We call for a Participatory Design (PD) approach to understand and reconfigure the socio-technical setup in health-care, especially where AI is being used on EHR data that are manually being submitted by health-care personnel. ",

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booktitle = "Proceedings of the 16th biennial Conference on Participatory Design, PDC{\textquoteright}2020, June 15-19, Manizales, Colombia: Participation(s) otherwise",

note = "The 16th biennial Conference on Participatory Design : Participation(s) otherwise, PDC2020 ; Conference date: 15-06-2020 Through 19-06-2020",

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Gyldenkærne, C , Simonsen, J , Mønsted, TS & From, G 2020, PD and The Challenge of AI in Health-Care. in C Del Gaudio, L Parra & S Agid (eds), Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise. vol. II, Association for Computing Machinery, P D C, pp. 26-29, The 16th biennial Conference on Participatory Design, Manizales, Colombia, 15/06/2020. https://doi.org/10.1145/3384772.3385138

PD and The Challenge of AI in Health-Care. / Gyldenkærne, Christopher ; Simonsen, Jesper ; Mønsted, Troels Sune; From, Gustav.

Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise. ed. / Chiara Del Gaudio; Leonardo Parra; Shana Agid. Vol. II Association for Computing Machinery, 2020. p. 26-29 (P D C).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Simonsen, Jesper

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N2 - In its promise to contribute to considerable cost savings and improved patient care through efficient analysis of the tremendous amount of data stored in electronic health records (EHR), there is currently a strong push for the proliferation of artificial intelligence (AI) in health-care. We identify, through a study of AI being used to predict patient no-show’s, that for the AI to gain full potential there lies a need to balance the introduction of AI with a proper focus on the patients and the clinicians’ interests. We call for a Participatory Design (PD) approach to understand and reconfigure the socio-technical setup in health-care, especially where AI is being used on EHR data that are manually being submitted by health-care personnel.

AB - In its promise to contribute to considerable cost savings and improved patient care through efficient analysis of the tremendous amount of data stored in electronic health records (EHR), there is currently a strong push for the proliferation of artificial intelligence (AI) in health-care. We identify, through a study of AI being used to predict patient no-show’s, that for the AI to gain full potential there lies a need to balance the introduction of AI with a proper focus on the patients and the clinicians’ interests. We call for a Participatory Design (PD) approach to understand and reconfigure the socio-technical setup in health-care, especially where AI is being used on EHR data that are manually being submitted by health-care personnel.

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BT - Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise

A2 - Del Gaudio, Chiara

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ER -

Gyldenkærne C , Simonsen J , Mønsted TS, From G. PD and The Challenge of AI in Health-Care. In Del Gaudio C, Parra L, Agid S, editors, Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise. Vol. II. Association for Computing Machinery. 2020. p. 26-29. (P D C). https://doi.org/10.1145/3384772.3385138

PD and The Challenge of AI in Health-Care

Abstract

Conference

Keywords

Link to document

Projects

Effects-Driven IT Development

Cite this