PD and The Challenge of AI in Health-Care

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

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
Number of pages	5
Volume	II
Publisher	ACM Digital Library (BFI Level 2)
Publication date	15 Jun 2020
ISBN (Print)	issn 2150-5896
ISBN (Electronic)	ISSN 2150-590X
Publication status	Published - 15 Jun 2020
Event	The 16th biennial Conference on Participatory Design: Participation(s) otherwise - The Universidad de Caldas, Manizales, Colombia Duration: 15 Jun 2020 → 19 Jun 2020 https://www.pdc2020.org https://www.pdc2020.org/doctoral-colloquium/

Conference

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

Keywords

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

Link to document

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

@inproceedings{7d9d94bf2ea740328fbdcfd66f1c6570,

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. ",

keywords = "Participatory Design, Artificial Intelligence, Electronic Health Record data, Primary- and Secondary Use data, Precision medicine",

author = "Christopher Gyldenk{\ae}rne and Jesper Simonsen and M{\o}nsted, {Troels Sune} and Gustav From",

year = "2020",

month = jun,

day = "15",

language = "English",

isbn = "issn 2150-5896",

volume = "II",

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

publisher = "ACM Digital Library (BFI Level 2)",

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

url = "https://www.pdc2020.org, https://www.pdc2020.org/doctoral-colloquium/",

}

Gyldenkærne, C , Simonsen, J , Mønsted, TS & From, G 2020, PD and The Challenge of AI in Health-Care. in Proceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise. vol. II, ACM Digital Library (BFI Level 2), The 16th biennial Conference on Participatory Design, Manizales, Colombia, 15/06/2020.

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. Vol. II ACM Digital Library (BFI Level 2), 2020.

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

TY - GEN

T1 - PD and The Challenge of AI in Health-Care

AU - Gyldenkærne, Christopher

AU - Simonsen, Jesper

AU - Mønsted, Troels Sune

AU - From, Gustav

PY - 2020/6/15

Y1 - 2020/6/15

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.

KW - Participatory Design

KW - Artificial Intelligence

KW - Electronic Health Record data

KW - Primary- and Secondary Use data

KW - Precision medicine

M3 - Article in proceedings

SN - issn 2150-5896

VL - II

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

PB - ACM Digital Library (BFI Level 2)

T2 - The 16th biennial Conference on Participatory Design

Y2 - 15 June 2020 through 19 June 2020

ER -

PD and The Challenge of AI in Health-Care

Abstract

Conference

Keywords

Link to document

Effects-Driven IT Development

Cite this