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.
CITATION STYLE
Gyldenkaerne, C. H., From, G., Mønsted, T., & Simonsen, J. (2020). PD and the Challenge of AI in Health-Care. In ACM International Conference Proceeding Series (Vol. 2, pp. 26–29). Association for Computing Machinery. https://doi.org/10.1145/3384772.3385138
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