Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs
<b>Background/Objectives:</b> Digital and computational pathology (DP/CP) tools have the potential to improve the efficiency and accuracy of the anatomic pathology workflow; however, current adoption among US hospital and reference labs remains low. <b>Methods:</b> To better...
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| Format: | Article |
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MDPI AG
2025-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/15/7/794 |
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| author | Jeffrey L. Bessen Melissa Alexander Olivia Foroughi Roderick Brathwaite Emre Baser Liam C. Lee Omar Perez Gary Gustavsen |
| author_facet | Jeffrey L. Bessen Melissa Alexander Olivia Foroughi Roderick Brathwaite Emre Baser Liam C. Lee Omar Perez Gary Gustavsen |
| author_sort | Jeffrey L. Bessen |
| collection | DOAJ |
| description | <b>Background/Objectives:</b> Digital and computational pathology (DP/CP) tools have the potential to improve the efficiency and accuracy of the anatomic pathology workflow; however, current adoption among US hospital and reference labs remains low. <b>Methods:</b> To better understand the current utilization of DP/CP technology and barriers to widespread adoption, we conducted a survey among 63 anatomic pathologists and lab directors within the US health system. <b>Results:</b> The survey results indicated that current use cases for DP/CP involve streamlining traditional manual pathology and that labs would have substantial difficulty providing AI-guided image analysis if it were required by physicians today. Among potential catalysts for the broader adoption of DP/CP, pathologists identified clinical guidelines as a key resource for anatomic pathology, whose endorsement of DP/CP would be highly impactful for reducing current barriers. <b>Conclusions:</b> Expanded access to DP/CP may ultimately benefit all major stakeholders—patients, physicians, clinical laboratory professionals, care settings, and payers—and will therefore require collaboration across these groups. |
| format | Article |
| id | doaj-art-ddc58fcd2de944b583b11ba8e37f33c5 |
| institution | OA Journals |
| issn | 2075-4418 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj-art-ddc58fcd2de944b583b11ba8e37f33c52025-08-20T02:09:18ZengMDPI AGDiagnostics2075-44182025-03-0115779410.3390/diagnostics15070794Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical LabsJeffrey L. Bessen0Melissa Alexander1Olivia Foroughi2Roderick Brathwaite3Emre Baser4Liam C. Lee5Omar Perez6Gary Gustavsen7Health Advances LLC, Newton, MA 02466, USAAstraZeneca, Gaithersburg, MD 20878, USAHealth Advances LLC, Newton, MA 02466, USAAstraZeneca, Gaithersburg, MD 20878, USAAstraZeneca, Gaithersburg, MD 20878, USAAstraZeneca, Gaithersburg, MD 20878, USAAstraZeneca, Gaithersburg, MD 20878, USAHealth Advances LLC, Newton, MA 02466, USA<b>Background/Objectives:</b> Digital and computational pathology (DP/CP) tools have the potential to improve the efficiency and accuracy of the anatomic pathology workflow; however, current adoption among US hospital and reference labs remains low. <b>Methods:</b> To better understand the current utilization of DP/CP technology and barriers to widespread adoption, we conducted a survey among 63 anatomic pathologists and lab directors within the US health system. <b>Results:</b> The survey results indicated that current use cases for DP/CP involve streamlining traditional manual pathology and that labs would have substantial difficulty providing AI-guided image analysis if it were required by physicians today. Among potential catalysts for the broader adoption of DP/CP, pathologists identified clinical guidelines as a key resource for anatomic pathology, whose endorsement of DP/CP would be highly impactful for reducing current barriers. <b>Conclusions:</b> Expanded access to DP/CP may ultimately benefit all major stakeholders—patients, physicians, clinical laboratory professionals, care settings, and payers—and will therefore require collaboration across these groups.https://www.mdpi.com/2075-4418/15/7/794digital and computational pathologyanatomic pathologypathologistslab directorsAI-guided image analysiswhole-slide imaging |
| spellingShingle | Jeffrey L. Bessen Melissa Alexander Olivia Foroughi Roderick Brathwaite Emre Baser Liam C. Lee Omar Perez Gary Gustavsen Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs Diagnostics digital and computational pathology anatomic pathology pathologists lab directors AI-guided image analysis whole-slide imaging |
| title | Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs |
| title_full | Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs |
| title_fullStr | Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs |
| title_full_unstemmed | Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs |
| title_short | Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs |
| title_sort | perspectives on reducing barriers to the adoption of digital and computational pathology technology by clinical labs |
| topic | digital and computational pathology anatomic pathology pathologists lab directors AI-guided image analysis whole-slide imaging |
| url | https://www.mdpi.com/2075-4418/15/7/794 |
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