Development of a national pathology training system using digital pathology and SNOMED-CT
Year: 2025
Type: article
Abstract: Introduction: Digital pathology is an important resource in modern pathology education, with many examples of large databases of educational cases now available online. However, there remains a lack of standardization in retrieval and categorization of cases for training within and between institutions. Methods: Over 1600 teaching terms applicable to histopathology were developed and mapped to corresponding SNOMED CT terms to create a large directory of teaching cases. This was then integrated as a pre-defined list into a clinical PACS system for a national digital pathology project covering multiple hospitals and pathology training programs. Results: This resource allows easy allocation of teaching term labels to cases with educational value. A substantial catalog of educational cases has been generated already, with ongoing efforts to expand this with cases from routine clinical practice. The catalog is fully searchable by term for use in training and examinations. Conclusions: A large directory of digital pathology teaching cases was developed with associated corresponding SNOMED CT terms. The directory of terms will be shared with other healthcare providers to expand its use and utility.
Source: Journal of Pathology Informatics
Authors: Clare McGenity, Alyn Cratchley, Jocelyn Aldridge, Craig Sayers, W. Scott Campbell, Rajesh C. Dash, Adrienne M. Flanagan, Neil Sebire, Alexander Wright, Waseem Akhtar, Darren Treanor
Institutions: University of Leeds, Leeds Teaching Hospitals NHS Trust, Mid Yorkshire Hospitals NHS Trust, University of Nebraska Medical Center, Duke University Health System, Royal National Orthopaedic Hospital, University College London, Great Ormond Street Hospital, National Institute for Health and Care Research, UCL Biomedical Research Centre, NIHR Great Ormond Street Hospital Biomedical Research Centre, Linköping University
Language: English
Field: Medicine
Domain: Health Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,070
OpenAlex ID: W4411399502
