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Creation of a retrospective searchable neuropathologic database from print archives at Toronto's University Health Network. | LitMetric

AI Article Synopsis

  • University Health Network (UHN) Pathology implemented a laboratory information system (LIS) in September 2001 to enhance neuro-oncologic care.
  • Prior to the LIS, over 50,000 pathology reports existed in paper form, with the most recent 30 years of records (30,000 specimens) converted to searchable PDF files through automated scanning.
  • Java programs filtered and standardized the diagnostic information to align with the World Health Organization format, completing the process within 3 months and under a budget of C$10,000.

Article Abstract

University Health Network (UHN) Pathology, in its capacity of providing neuro-oncologic care, now utilizes a laboratory information system (LIS), which was instituted in September 2001. For the 75 years preceding the LIS, more than 50 000 pathology reports exist in paper format. High-throughput automated scanning of the paper archives was employed to add the most recent 30 years of paper records (30 000 neuropathology specimens) to the LIS. The searchable portable document format (PDF) files generated from the scans were filtered through a multi-tiered process driven by Java computer programs that selected relevant patient and diagnostic information. A second series of programs queried the neuropathologist-assigned diagnoses and successfully converted these to the standardized World Health Organization (WHO) format. This was achieved with a master list of key site and diagnostic terms, and prioritization rules that were determined on a trial and error basis. Categorization, verification, and consolidation were completed within 3 months and on a C$10 000 budget.

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Source
http://dx.doi.org/10.1038/labinvest.3700694DOI Listing

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