PD and The Challenge of AI in Health-Care

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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 languageEnglish
Title of host publicationProceedings of the 16th biennial Conference on Participatory Design, PDC’2020, June 15-19, Manizales, Colombia: Participation(s) otherwise
EditorsChiara Del Gaudio, Leonardo Parra, Shana Agid
Number of pages5
VolumeII
PublisherAssociation for Computing Machinery
Publication date15 Jun 2020
Pages26-29
ISBN (Print)issn 2150-5896
ISBN (Electronic)ISSN 2150-590X, 978-1-4503-7606-8
DOIs
Publication statusPublished - 15 Jun 2020
EventThe 16th biennial Conference on Participatory Design: Participation(s) otherwise - The Universidad de Caldas (online), Manizales, Colombia
Duration: 15 Jun 202019 Jun 2020
Conference number: 16
https://www.pdc2020.org
https://www.pdc2020.org/doctoral-colloquium/

Conference

ConferenceThe 16th biennial Conference on Participatory Design
Number16
LocationThe Universidad de Caldas (online)
Country/TerritoryColombia
CityManizales
Period15/06/202019/06/2020
OtherOnline
Internet address
SeriesP D C
ISSN2150-5896

Keywords

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

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