利用数字病理学和SNOMED-CT建立国家病理学培训系统

Q2 Medicine

Journal of Pathology Informatics Pub Date : 2025-06-18 DOI:10.1016/j.jpi.2025.100456

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

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引用次数: 0

摘要

数字病理学是现代病理学教育的重要资源，有许多教育案例的大型数据库现在可以在网上找到。但是，在机构内部和机构之间的培训案例检索和分类方面仍然缺乏标准化。方法编制1600多个组织病理学教学术语，并将其与相应的SNOMED CT教学术语进行映射，形成一个大型的教学案例目录。然后将其作为预先定义的列表集成到临床PACS系统中，用于覆盖多家医院和病理学培训计划的国家数字病理学项目。结果该资源可以方便地将教学术语标签分配给具有教育价值的案例。已经产生了大量的教育病例目录，并正在努力扩大常规临床实践的病例。目录是完全搜索术语用于培训和考试。结论建立了一个大型的数字病理学教学病例目录，并附有相应的SNOMED CT术语。术语目录将与其他医疗保健提供者共享，以扩大其用途和效用。

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Development of a national pathology training system using digital pathology and SNOMED-CT

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.

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来源期刊

Journal of Pathology Informatics Medicine-Pathology and Forensic Medicine

CiteScore

3.70

自引率

0.00%

发文量

审稿时长

18 weeks

期刊介绍： The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.