Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily Computable
This work brings to fruition the longstanding desire for an international, interoperable, human- and machine-readable cancer pathology report for use in patient care, health care quality improvement, population health, public health surveillance, and translational and clinical trial research. The following report describes the project, its methods, and applications in the stated use cases.
Authors
- Brian Rous (ORCID: https://orcid.org/0000-0002-7619-461X)
- S. Vicente Santamaría
- George Birdsong (ORCID: https://orcid.org/0000-0003-4803-5950)
- Paul A. Seegers (ORCID: https://orcid.org/0000-0002-7617-415X)
- Rajesh Dash (ORCID: https://orcid.org/0000-0002-2499-6389)
- Peter Paul Yu (ORCID: https://orcid.org/0000-0002-7238-1557)
- Richard Moldwin (ORCID: https://orcid.org/0000-0001-5859-8488)
- Laszlo Igali (ORCID: https://orcid.org/0000-0002-1534-4717)
- Timothy R. Helliwell (ORCID: https://orcid.org/0000-0003-2112-4128)
- W. Scott Campbell (ORCID: https://orcid.org/0000-0001-7025-2914)
- Mary E. Edgerton (ORCID: https://orcid.org/0000-0002-1295-4042)
- James T. Case
- Ross W. Simpson (ORCID: https://orcid.org/0009-0009-1326-5511)
- Ekaterina Bazyleva (ORCID: https://orcid.org/0009-0000-7851-101X)
- John R. Srigley
- Thomas Rüdiger
- Stefan V. Dubois
- Elaine Wooler (ORCID: https://orcid.org/0009-0001-0469-8114)
Institutions
- Hartford Hospital (US)
- University of Liverpool (GB)
- Emory University (US)
- College of American Pathologists (US)
- Trillium Health Centre (CA)
- Norfolk and Norwich University Hospitals NHS Foundation Trust (GB)
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Städtisches Klinikum Karlsruhe (DE)
- Insmed (United Kingdom) (GB)
- Skåne University Hospital (SE)
- Duke University Health System (US)
- Hartford Financial Services (United States)
- HealthPartners (US)
- University of Nebraska Medical Center (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1200/cci-24-00180
- Citations
- 3
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 7.44