IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v64y2022i3d10.1007_s12599-022-00750-2.html
   My bibliography  Save this article

Radiologists’ Usage of Diagnostic AI Systems

Author

Listed:
  • Ekaterina Jussupow

    (Universität Mannheim)

  • Kai Spohrer

    (Frankfurt School of Finance and Management)

  • Armin Heinzl

    (Universität Mannheim)

Abstract

While diagnostic AI systems are implemented in medical practice, it is still unclear how physicians embed them in diagnostic decision making. This study examines how radiologists come to use diagnostic AI systems in different ways and what role AI assessments play in this process if they confirm or disconfirm radiologists’ own judgment. The study draws on rich qualitative data from a revelatory case study of an AI system for stroke diagnosis at a University Hospital to elaborate how three sensemaking processes revolve around confirming and disconfirming AI assessments. Through context-specific sensedemanding, sensegiving, and sensebreaking, radiologists develop distinct usage patterns of AI systems. The study reveals that diagnostic self-efficacy influences which of the three sensemaking processes radiologists engage in. In deriving six propositions, the account of sensemaking and usage of diagnostic AI systems in medical practice paves the way for future research.

Suggested Citation

  • Ekaterina Jussupow & Kai Spohrer & Armin Heinzl, 2022. "Radiologists’ Usage of Diagnostic AI Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 293-309, June.
    • Handle: RePEc:spr:binfse:v:64:y:2022:i:3:d:10.1007_s12599-022-00750-2
    DOI: 10.1007/s12599-022-00750-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-022-00750-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12599-022-00750-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    2. Dennis A. Gioia & Kumar Chittipeddi, 1991. "Sensemaking and sensegiving in strategic change initiation," Strategic Management Journal, Wiley Blackwell, vol. 12(6), pages 433-448, September.
    3. Victoria A. Shaffer & C. Adam Probst & Edgar C. Merkle & Hal R. Arkes & Mitchell A. Medow, 2013. "Why Do Patients Derogate Physicians Who Use a Computer-Based Diagnostic Support System?," Medical Decision Making, , vol. 33(1), pages 108-118, January.
    4. Andrew Burton-Jones & Olga Volkoff, 2017. "How Can We Develop Contextualized Theories of Effective Use? A Demonstration in the Context of Community-Care Electronic Health Records," Information Systems Research, INFORMS, vol. 28(3), pages 468-489, September.
    5. Hal R. Arkes & Victoria A. Shaffer & Mitchell A. Medow, 2007. "Patients Derogate Physicians Who Use a Computer-Assisted Diagnostic Aid," Medical Decision Making, , vol. 27(2), pages 189-202, March.
    6. Jussupow, Ekaterina & Spohrer, Kai & Heinzl, Armin & Gawlitza, Joshua, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 137446, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Stella Pachidi & Hans Berends & Samer Faraj & Marleen Huysman, 2021. "Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing," Organization Science, INFORMS, vol. 32(1), pages 18-41, January.
    8. Sturm, Timo & Gerlach, Jin & Pumplun, Luisa & Mesbah, Neda & Peters, Felix & Tauchert, Christoph & Nan, Ning & Buxmann, Peter, 2021. "Coordinating Human and Machine Learning for Effective Organizational Learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 125653, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. J. J. Po-An Hsieh & Arun Rai & Sean Xin Xu, 2011. "Extracting Business Value from IT: A Sensemaking Perspective of Post-Adoptive Use," Management Science, INFORMS, vol. 57(11), pages 2018-2039, November.
    10. Karl E. Weick & Kathleen M. Sutcliffe & David Obstfeld, 2005. "Organizing and the Process of Sensemaking," Organization Science, INFORMS, vol. 16(4), pages 409-421, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tinglong Dai & Sridhar Tayur, 2022. "Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4443-4451, December.
    2. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    3. Yu-Kai Lin & Mingfeng Lin & Hsinchun Chen, 2019. "Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act," Service Science, INFORMS, vol. 30(1), pages 306-318, March.
    4. Filstad, Cathrine & Olsen, Trude Høgvold & Karp, Tom, 2021. "Constructing managerial manoeuvring space in contradictory contexts," European Management Journal, Elsevier, vol. 39(4), pages 467-475.
    5. Sevda Helpap & Sigrid Bekmeier-Feuerhahn & Luisa Pinkernelle, 2018. "Ambivalenzen in organisationalen Veränderungen [Ambivalence in Organizational Change]," Schmalenbach Journal of Business Research, Springer, vol. 70(3), pages 209-241, August.
    6. Giuliani, Marco & Skoog, Matti, 2020. "Making sense of the temporal dimension of intellectual capital: A critical case study," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 70(C).
    7. Beattie, Vivien, 2014. "Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework," The British Accounting Review, Elsevier, vol. 46(2), pages 111-134.
    8. Florence Allard-Poesi, 2015. "Dancing in the Dark: Making Sense of Managerial Roles during Strategic Conversations," Working Papers hal-01145772, HAL.
    9. Jeffrey S. Bednar & Benjamin M. Galvin & Blake E. Ashforth & Ella Hafermalz, 2020. "Putting Identification in Motion: A Dynamic View of Organizational Identification," Organization Science, INFORMS, vol. 31(1), pages 200-222, January.
    10. Lionel Garreau & Serge Perrot, 2012. "Comprendre la dynamique de la socialisation organisationnelle: Une approche par le sensemaking," Post-Print halshs-00949067, HAL.
    11. Florence Allard-Poesi, 2015. "Dancing in the dark: Making sense of managerial roles during strategic conversations," Post-Print hal-01490734, HAL.
    12. Mathieu Detchessahar & Benoît Journé, 2018. "Managing Strategic Discussions in Organizations: A Habermasian Perspective," Post-Print hal-02070709, HAL.
    13. Costa, Sandra & Coyle-Shapiro, Jacqueline, 2021. "What happens to others matters! An intraindividual processual approach to coworkers’ psychological contract violations," LSE Research Online Documents on Economics 109872, London School of Economics and Political Science, LSE Library.
    14. Mike Metcalfe & Saras Sastrowardoyo, 2016. "Sense-making Innovative Systems: Prestigious MOOCs," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(3), pages 437-451, May.
    15. Lionel Garreau & Serge Perrot, 2012. "Comprendre la dynamique de la socialisation organisationnelle : une approche par le sensemaking," Post-Print halshs-01054809, HAL.
    16. Robert J. Blomme, 2012. "How Managers Can Conduct Planned Change in Self-organising Systems: Actor Network Theory as a Perspective to Manager¡¯s Actions," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 3(5), pages 9-22, September.
    17. Adele Santana, 2012. "Three Elements of Stakeholder Legitimacy," Journal of Business Ethics, Springer, vol. 105(2), pages 257-265, January.
    18. Mesa, William B., 2019. "Accounting students’ learning processes in analytics: A sensemaking perspective," Journal of Accounting Education, Elsevier, vol. 48(C), pages 50-68.
    19. Sameer B. Srivastava, 2015. "Intraorganizational Network Dynamics in Times of Ambiguity," Organization Science, INFORMS, vol. 26(5), pages 1365-1380, October.
    20. Loréa Baïada-Hirèche & Lionel Garreau, 2014. "Exploring the dynamics of ethical judgment : the sensemaking-based evolution model," Grenoble Ecole de Management (Post-Print) halshs-01009708, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:64:y:2022:i:3:d:10.1007_s12599-022-00750-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.