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  • Cervin, IdaSectra AB, Chalmers University of Technology, Sectra AB, Gothenburg, Sweden (author)

Improving the creation and reporting of structured findings during digital pathology review

  • Article/chapterEnglish2016

Publisher, publication year, extent ...

  • Medknow Publications,2016
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-130541
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130541URI
  • https://doi.org/10.4103/2153-3539.186917DOI
  • https://research.chalmers.se/publication/244397URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Background: Today, pathology reporting consists of many separate tasks, carried out by multiple people. Common tasks include dictation during case review, transcription, verification of the transcription, report distribution, and report the key findings to follow-up registries. Introduction of digital workstations makes it possible to remove some of these tasks and simplify others. This study describes the work presented at the Nordic Symposium on Digital Pathology 2015, in Linköping, Sweden. Methods: We explored the possibility to have a digital tool that simplifies image review by assisting note-taking, and with minimal extra effort, populates a structured report. Thus, our prototype sees reporting as an activity interleaved with image review rather than a separate final step. We created an interface to collect, sort, and display findings for the most common reporting needs, such as tumor size, grading, and scoring. Results: The interface was designed to reduce the need to retain partial findings in the head or on paper, while at the same time be structured enough to support automatic extraction of key findings for follow-up registry reporting. The final prototype was evaluated with two pathologists, diagnosing complicated partial mastectomy cases. The pathologists experienced that the prototype aided them during the review and that it created a better overall workflow. Conclusions: These results show that it is feasible to simplify the reporting tasks in a way that is not distracting, while at the same time being able to automatically extract the key findings. This simplification is possible due to the realization that the structured format needed for automatic extraction of data can be used to offload the pathologists' working memory during the diagnostic review.

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  • Molin, Jesper,1987Center for Medical Image Science and Visualization, Chalmers University of Technology, Sectra AB, Gothenburg, Sweden,Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)mjesper (author)
  • Lundström, Claes,1973-Linköpings universitet,Medie- och Informationsteknik,Tekniska fakulteten,Linköping University(Swepub:liu)clalu03 (author)
  • Sectra AB, Chalmers University of Technology, Sectra AB, Gothenburg, SwedenSectra AB (creator_code:org_t)

Related titles

  • In:Journal of Pathology Informatics: Medknow Publications7:1, s. 32-322229-50892153-3539

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