PD and The Challenge of AI in Health-Care

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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
Number of pages5
PublisherACM Digital Library (BFI Level 2)
Publication date15 Jun 2020
ISBN (Print)issn 2150-5896
ISBN (Electronic)ISSN 2150-590X
Publication statusPublished - 15 Jun 2020
EventThe 16th biennial Conference on Participatory Design: Participation(s) otherwise - The Universidad de Caldas, Manizales, Colombia
Duration: 15 Jun 202019 Jun 2020


ConferenceThe 16th biennial Conference on Participatory Design
LocationThe Universidad de Caldas
Internet address


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

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