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We're implementing AI now, so why not ask us what to do? – How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems

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  • Gillner, Sandra

Abstract

Despite high expectations of artificial intelligence (AI) in medical diagnostics, predictions of its extensive and rapid adoption have so far not been matched by reality. AI providers seeking to promote and perpetuate the use of this technology are faced with the complex reality of embedding AI-enabled diagnostics across variable implementation contexts. In this study, we draw upon a complexity science approach and qualitative methodology to understand how AI providers perceive and navigate the spread of AI in complex healthcare systems. Using semi-structured, one-to-one interviews, we collected qualitative data from 14 providers of AI-enabled diagnostics. We triangulated the data by complementing the interviews with multiple sources, including a focus group of physicians with experience using these technologies. The notion of embedding allowed us to connect local implementation efforts with systemic diffusion. Our study reveals that AI providers self-organise to increase their adaptability when navigating the variable conditions and unpredictability of complex healthcare contexts. In addition to the tensions perceived by AI providers within the sociocultural, technological, and institutional subsystems of healthcare, we illustrate the practices emerging among them to mitigate these tensions: stealth science, agility, and digital ambidexterity. Our study contributes to the growing body of literature on the spread of AI in healthcare by capturing the view of technology providers and adding a new theoretical perspective through the lens of complexity science.

Suggested Citation

  • Gillner, Sandra, 2024. "We're implementing AI now, so why not ask us what to do? – How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems," Social Science & Medicine, Elsevier, vol. 340(C).
    • Handle: RePEc:eee:socmed:v:340:y:2024:i:c:s0277953623007992
    DOI: 10.1016/j.socscimed.2023.116442
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    References listed on IDEAS

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    1. Lanham, Holly Jordan & Leykum, Luci K. & Taylor, Barbara S. & McCannon, C. Joseph & Lindberg, Curt & Lester, Richard T., 2013. "How complexity science can inform scale-up and spread in health care: Understanding the role of self-organization in variation across local contexts," Social Science & Medicine, Elsevier, vol. 93(C), pages 194-202.
    2. Pumplun, Luisa & Fecho, Mariska & Wahl, Nihal & Peters, Felix & Buxmann, Peter, 2021. "Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: A Qualitative Interview Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 127993, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Essén, Anna & Lindblad, Staffan, 2013. "Innovation as emergence in healthcare: Unpacking change from within," Social Science & Medicine, Elsevier, vol. 93(C), pages 203-211.
    4. Cruz, Taylor Marion, 2022. "The social life of biomedical data: Capturing, obscuring, and envisioning care in the digital safety-net," Social Science & Medicine, Elsevier, vol. 294(C).
    5. Greenhalgh, Trisha & Stones, Rob, 2010. "Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory," Social Science & Medicine, Elsevier, vol. 70(9), pages 1285-1294, May.
    6. Josef Åström & Wiebke Reim & Vinit Parida, 2022. "Value creation and value capture for AI business model innovation: a three-phase process framework," Review of Managerial Science, Springer, vol. 16(7), pages 2111-2133, October.
    7. Zahlan, Ahmed & Ranjan, Ravi Prakash & Hayes, David, 2023. "Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research," Technology in Society, Elsevier, vol. 74(C).
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