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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Speed, accuracy, and efficiency: The promises and practices of digitization in pathology. / Kusta, Olsi; Bearman, Margaret; Gorur, Radhika; Risør, Torsten; Brodersen, John Brandt; Hoeyer, Klaus.

In: Social Science & Medicine, Vol. 345, No. 116650, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Kusta, O, Bearman, M, Gorur, R, Risør, T, Brodersen, JB & Hoeyer, K 2024, 'Speed, accuracy, and efficiency: The promises and practices of digitization in pathology', Social Science & Medicine, vol. 345, no. 116650. https://doi.org/10.1016/j.socscimed.2024.116650

APA

Kusta, O., Bearman, M., Gorur, R., Risør, T., Brodersen, J. B., & Hoeyer, K. (2024). Speed, accuracy, and efficiency: The promises and practices of digitization in pathology. Social Science & Medicine, 345( 116650). https://doi.org/10.1016/j.socscimed.2024.116650

Vancouver

Kusta O, Bearman M, Gorur R, Risør T, Brodersen JB, Hoeyer K. Speed, accuracy, and efficiency: The promises and practices of digitization in pathology. Social Science & Medicine. 2024;345( 116650). https://doi.org/10.1016/j.socscimed.2024.116650

Author

Kusta, Olsi ; Bearman, Margaret ; Gorur, Radhika ; Risør, Torsten ; Brodersen, John Brandt ; Hoeyer, Klaus. / Speed, accuracy, and efficiency: The promises and practices of digitization in pathology. In: Social Science & Medicine. 2024 ; Vol. 345, No. 116650.

Bibtex

@article{41292a769f854eb9bb0df236fef899fa,
title = "Speed, accuracy, and efficiency: The promises and practices of digitization in pathology",
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{\textquoteright} 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.",
author = "Olsi Kusta and Margaret Bearman and Radhika Gorur and Torsten Ris{\o}r and Brodersen, {John Brandt} and Klaus Hoeyer",
year = "2024",
doi = "10.1016/j.socscimed.2024.116650",
language = "English",
volume = "345",
journal = "Social Science & Medicine",
issn = "0277-9536",
publisher = "Pergamon Press",
number = " 116650",

}

RIS

TY - JOUR

T1 - Speed, accuracy, and efficiency: The promises and practices of digitization in pathology

AU - Kusta, Olsi

AU - Bearman, Margaret

AU - Gorur, Radhika

AU - Risør, Torsten

AU - Brodersen, John Brandt

AU - Hoeyer, Klaus

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

U2 - 10.1016/j.socscimed.2024.116650

DO - 10.1016/j.socscimed.2024.116650

M3 - Journal article

C2 - 38364720

VL - 345

JO - Social Science & Medicine

JF - Social Science & Medicine

SN - 0277-9536

IS - 116650

ER -

ID: 384573319