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Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving
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Ali, Mahmoud, Evans, Harriet, Whitney, Peter, Minhas, Fayyaz and Snead, David R. J. (2022) Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving. Journal of Clinical Pathology . doi:10.1136/jcp-2022-208483 (In Press)
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WRAP-Using-Systemised-Nomenclature-of-Medicine-SNOMED-codes-to-select-digital-pathology-whole-slide-images-for-long-term-archiving-Snead-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons: Attribution-Noncommercial 4.0. Download (394Kb) | Preview |
Official URL: http://dx.doi.org/10.1136/jcp-2022-208483
Abstract
The archiving of whole slide images represents a hurdle to digital pathology implementation largely because of the amount of data generated. The retention of glass slides is currently recommended for a minimum of 10 years, but it is for individual departments to determine how digital images are archived and for how long. In a retrospective study, we examined the combination of Systemised Nomenclature of Medicine (SNOMED) codes allocated to cases reported between July 2011 and December 2015 and recalled more than 12 months after diagnosis in comparison to non-recalled cases.
Our results show that 0.2% of cases are recalled after 12 months, and SNOMED code combinations can be used to identify which cases are likely to be recalled and which are not. This approach could reduce the number of cases archived by 62% and still ensure all cases likely to be recalled remain in the archive.
| Item Type: | Journal Item | ||||||||
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| Subjects: | R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine |
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| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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| Library of Congress Subject Headings (LCSH): | Medical records -- Management, Pathological laboratories -- Management, Diagnostic imaging -- Data processing, Histology, Pathological, Pathology -- Data processing, Medical Informatics, Medicine -- Data processing | ||||||||
| Journal or Publication Title: | Journal of Clinical Pathology | ||||||||
| Publisher: | B M J Group | ||||||||
| ISSN: | 0021-9746 | ||||||||
| Official Date: | 2022 | ||||||||
| Dates: |
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| DOI: | 10.1136/jcp-2022-208483 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | In Press | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 10 October 2022 | ||||||||
| Date of first compliant Open Access: | 10 October 2022 | ||||||||
| RIOXX Funder/Project Grant: |
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