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

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 digit...

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Autores principales: Cervin, Ida, Molin, Jesper, Lundström, Claes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977970/
https://www.ncbi.nlm.nih.gov/pubmed/27563491
http://dx.doi.org/10.4103/2153-3539.186917
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author Cervin, Ida
Molin, Jesper
Lundström, Claes
author_facet Cervin, Ida
Molin, Jesper
Lundström, Claes
author_sort Cervin, Ida
collection PubMed
description 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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spelling pubmed-49779702016-08-25 Improving the creation and reporting of structured findings during digital pathology review Cervin, Ida Molin, Jesper Lundström, Claes J Pathol Inform Research Article 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. Medknow Publications & Media Pvt Ltd 2016-07-26 /pmc/articles/PMC4977970/ /pubmed/27563491 http://dx.doi.org/10.4103/2153-3539.186917 Text en Copyright: © 2016 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Research Article
Cervin, Ida
Molin, Jesper
Lundström, Claes
Improving the creation and reporting of structured findings during digital pathology review
title Improving the creation and reporting of structured findings during digital pathology review
title_full Improving the creation and reporting of structured findings during digital pathology review
title_fullStr Improving the creation and reporting of structured findings during digital pathology review
title_full_unstemmed Improving the creation and reporting of structured findings during digital pathology review
title_short Improving the creation and reporting of structured findings during digital pathology review
title_sort improving the creation and reporting of structured findings during digital pathology review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977970/
https://www.ncbi.nlm.nih.gov/pubmed/27563491
http://dx.doi.org/10.4103/2153-3539.186917
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