IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v345y2024ics0277953624000947.html
   My bibliography  Save this article

Speed, accuracy, and efficiency: The promises and practices of digitization in pathology

Author

Listed:
  • Kusta, Olsi
  • Bearman, Margaret
  • Gorur, Radhika
  • Risør, Torsten
  • Brodersen, John Brandt
  • Hoeyer, Klaus

Abstract

Digitization is often presented in policy discourse as a panacea to a multitude of contemporary problems, not least in healthcare. How can policy promises relating to digitization be assessed and potentially countered in particular local contexts? Based on a study in Denmark, we suggest scrutinizing the politics of digitization by comparing policy promises about the future with practitioners’ experience in the present. While Denmark is one of the most digitalized countries in the world, digitization of pathology has only recently been given full policy attention. As pathology departments are faced with an increased demand for pathology analysis and a shortage of pathologists, Danish policymakers have put forward digitization as a way to address these challenges. Who is it that wants to digitize pathology, why, and how does digitization unfold in routine work practices? Using online search and document analysis, we identify actors and analyze the policy promises describing expectations associated with digitization. We then use interviews and observations to juxtapose these expectations with observations of everyday pathology practices as experienced by pathologists. We show that policymakers expect digitization to improve speed, patient safety, and diagnostic accuracy, as well as efficiency. In everyday practice, however, digitization does not deliver on these expectations. Fulfillment of policy expectations instead hinges on the types of artificial intelligence (AI) applications that are still to be developed and implemented. Some pathologists remark that AI might work in the easy cases, but this would leave them with only the difficult cases, which they consider too burdensome. Our particular mode of juxtaposing policy and practice throws new light on the political work done by policy promises and helps to explain why the discipline of pathology does not seem to easily lend itself to the digital embrace.

Suggested Citation

  • Kusta, Olsi & Bearman, Margaret & Gorur, Radhika & Risør, Torsten & Brodersen, John Brandt & Hoeyer, Klaus, 2024. "Speed, accuracy, and efficiency: The promises and practices of digitization in pathology," Social Science & Medicine, Elsevier, vol. 345(C).
  • Handle: RePEc:eee:socmed:v:345:y:2024:i:c:s0277953624000947
    DOI: 10.1016/j.socscimed.2024.116650
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953624000947
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2024.116650?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. Onno, Julien & Ahmad Khan, Faiz & Daftary, Amrita & David, Pierre-Marie, 2023. "Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health," Social Science & Medicine, Elsevier, vol. 327(C).
    2. De Togni, Giulia & Erikainen, Sonja & Chan, Sarah & Cunningham-Burley, Sarah, 2021. "What makes AI ‘intelligent’ and ‘caring’? Exploring affect and relationality across three sites of intelligence and care," Social Science & Medicine, Elsevier, vol. 277(C).
    3. Gross, Sky, 2009. "Experts and 'knowledge that counts': A study into the world of brain cancer diagnosis," Social Science & Medicine, Elsevier, vol. 69(12), pages 1819-1826, December.
    4. Ziebland, Sue & Hyde, Emma & Powell, John, 2021. "Power, paradox and pessimism: On the unintended consequences of digital health technologies in primary care," Social Science & Medicine, Elsevier, vol. 289(C).
    5. Petr Holub & Heimo Müller & Tomáš Bíl & Luca Pireddu & Markus Plass & Fabian Prasser & Irene Schlünder & Kurt Zatloukal & Rudolf Nenutil & Tomáš Brázdil, 2023. "Privacy risks of whole-slide image sharing in digital pathology," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Neumark, Tom, 2023. "Digital diagnostics from Tanzania: Beyond mere technological fixing?," Social Science & Medicine, Elsevier, vol. 319(C).
    7. Siala, Haytham & Wang, Yichuan, 2022. "SHIFTing artificial intelligence to be responsible in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
    8. Christiansen, Terkel & Vrangbæk, Karsten, 2018. "Hospital centralization and performance in Denmark—Ten years on," Health Policy, Elsevier, vol. 122(4), pages 321-328.
    9. Morley, Jessica & Machado, Caio C.V. & Burr, Christopher & Cowls, Josh & Joshi, Indra & Taddeo, Mariarosaria & Floridi, Luciano, 2020. "The ethics of AI in health care: A mapping review," Social Science & Medicine, Elsevier, vol. 260(C).
    10. Green, Sara & Carusi, Annamaria & Hoeyer, Klaus, 2022. "Plastic diagnostics: The remaking of disease and evidence in personalized medicine," Social Science & Medicine, Elsevier, vol. 304(C).
    11. Carboni, Chiara & Wehrens, Rik & van der Veen, Romke & de Bont, Antoinette, 2022. "Conceptualizing the digitalization of healthcare work: A metaphor-based Critical Interpretive Synthesis," Social Science & Medicine, Elsevier, vol. 292(C).
    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. Wang, Weisha & Wang, Yichuan & Chen, Long & Ma, Rui & Zhang, Minhao, 2024. "Justice at the Forefront: Cultivating felt accountability towards Artificial Intelligence among healthcare professionals," Social Science & Medicine, Elsevier, vol. 347(C).
    2. Hamid Reza Saeidnia & Seyed Ghasem Hashemi Fotami & Brady Lund & Nasrin Ghiasi, 2024. "Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact," Social Sciences, MDPI, vol. 13(7), pages 1-15, July.
    3. Dmitrieva, Alexandra & Stepanov, Vladimir & Titar, Ivan, 2024. "(e)Managing the uncertainty of tuberculosis in the post-Soviet limbo: Tracking prisoners' coerced mobility for treatment in Ukrainian prisons," Social Science & Medicine, Elsevier, vol. 349(C).
    4. Eliseo Sciarretta & Riccardo Mancini & Emilio Greco, 2022. "Artificial Intelligence for Healthcare and Social Services: Optimizing Resources and Promoting Sustainability," Sustainability, MDPI, vol. 14(24), pages 1-9, December.
    5. Alexandra Brintrup & George Baryannis & Ashutosh Tiwari & Svetan Ratchev & Giovanna Martinez-Arellano & Jatinder Singh, 2023. "Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions," Papers 2305.11581, arXiv.org.
    6. Cresswell, Kathrin & Rigby, Michael & Magrabi, Farah & Scott, Philip & Brender, Jytte & Craven, Catherine K. & Wong, Zoie Shui-Yee & Kukhareva, Polina & Ammenwerth, Elske & Georgiou, Andrew & Medlock,, 2023. "The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision," Health Policy, Elsevier, vol. 136(C).
    7. Mauro Laudicella & Paolo Li Donni & Kim Rose Olsen & Dorte Gyrd‐Hansen, 2022. "Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1184-1201, June.
    8. Issa, Helmi & Jaber, Jad & Lakkis, Hussein, 2024. "Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    9. Singh, Nidhi & Jain, Monika & Kamal, Muhammad Mustafa & Bodhi, Rahul & Gupta, Bhumika, 2024. "Technological paradoxes and artificial intelligence implementation in healthcare. An application of paradox theory," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    10. Bennett, Jeffrey A. & Simpson, Juliet G. & Qin, Chao & Fittro, Roger & Koenig, Gary M. & Clarens, Andres F. & Loth, Eric, 2021. "Techno-economic analysis of offshore isothermal compressed air energy storage in saline aquifers co-located with wind power," Applied Energy, Elsevier, vol. 303(C).
    11. Mauro Laudicella & Paolo Li Donni, 2022. "The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 521-536, April.
    12. Livio Garattini & Michele Zanetti & Nicholas Freemantle, 2020. "The Italian NHS: What Lessons to Draw from COVID-19?," Applied Health Economics and Health Policy, Springer, vol. 18(4), pages 463-466, August.
    13. Davenport, Nancy H.M., 2011. "Medical residents' use of narrative templates in storytelling and diagnosis," Social Science & Medicine, Elsevier, vol. 73(6), pages 873-881, September.
    14. Daniel Erku & Resham Khatri & Aklilu Endalamaw & Eskinder Wolka & Frehiwot Nigatu & Anteneh Zewdie & Yibeltal Assefa, 2023. "Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review," IJERPH, MDPI, vol. 20(19), pages 1-15, September.
    15. Hald, Andreas Nielsen & Bech, Mickael & Burau, Viola, 2021. "Conditions for successful interprofessional collaboration in integrated care – Lessons from a primary care setting in Denmark," Health Policy, Elsevier, vol. 125(4), pages 474-481.
    16. Roppelt, Julia Stefanie & Kanbach, Dominik K. & Kraus, Sascha, 2024. "Artificial intelligence in healthcare institutions: A systematic literature review on influencing factors," Technology in Society, Elsevier, vol. 76(C).
    17. De Regge, Melissa & De Pourcq, Kaat & Van de Voorde, Carine & Van den Heede, Koen & Gemmel, Paul & Eeckloo, Kristof, 2019. "The introduction of hospital networks in Belgium: The path from policy statements to the 2019 legislation," Health Policy, Elsevier, vol. 123(7), pages 601-605.
    18. Lydiksen, Nis & Greve, Jane & Jakobsen, Marie & Kristensen, Søren Rud, 2021. "Using national clinical guidelines to reduce practice variation – the case of Denmark," Health Policy, Elsevier, vol. 125(6), pages 793-798.
    19. Vanessa Cirulli & Giorgia Marini & Marco A. Marini & Odd Rune Straume, 2023. "Do Hospital Mergers Reduce Waiting Times? Theory and Evidence from the English NHS," Working Papers 2023.14, Fondazione Eni Enrico Mattei.
    20. Dubas-Jakóbczyk, Katarzyna & Domagała, Alicja & Zabdyr-Jamróz, Michał & Kowalska-Bobko, Iwona & Sowada, Christoph, 2023. "The 2021 plan for hospital care centralization in Poland – When politics overwhelms the policy process," Health Policy, Elsevier, vol. 129(C).

    More about this item

    Statistics

    Access and download statistics

    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:eee:socmed:v:345:y:2024:i:c:s0277953624000947. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.