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Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases

BACKGROUND: The frozen section pathology practice at Mayo Clinic in Rochester performs ~20,000 intraoperative consultations a year (~70–80/weekday). To prepare for intraoperative consultations, surgical pathology fellows and residents review the case history, previous pathology, and relevant imaging...

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Autores principales: Norgan, Andrew P., Okeson, Mathew L., Juskewitch, Justin E., Shah, Kabeer K., Sukov, William R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5359996/
https://www.ncbi.nlm.nih.gov/pubmed/28400992
http://dx.doi.org/10.4103/2153-3539.201112
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author Norgan, Andrew P.
Okeson, Mathew L.
Juskewitch, Justin E.
Shah, Kabeer K.
Sukov, William R.
author_facet Norgan, Andrew P.
Okeson, Mathew L.
Juskewitch, Justin E.
Shah, Kabeer K.
Sukov, William R.
author_sort Norgan, Andrew P.
collection PubMed
description BACKGROUND: The frozen section pathology practice at Mayo Clinic in Rochester performs ~20,000 intraoperative consultations a year (~70–80/weekday). To prepare for intraoperative consultations, surgical pathology fellows and residents review the case history, previous pathology, and relevant imaging the day before surgery. Before the work described herein, review of pending surgical pathology cases was a paper-based process requiring handwritten transcription from the electronic health record, a laborious and potentially error prone process. METHODS: To facilitate more efficient case review, a modular extension of an existing surgical listing software application (Surgical and Procedure Scheduling [SPS]) was developed. The module (SPS-pathology-specific module [PM]) added pathology-specific functionality including recording case notes, prefetching of radiology, pathology, and operative reports from the medical record, flagging infectious cases, and real-time tracking of cases in the operating room. After implementation, users were surveyed about its impact on the surgical pathology practice. RESULTS: There were 16 survey respondents (five staff pathologists and eleven residents or fellows). All trainees (11/11) responded that the application improved an aspect of surgical list review including abstraction from medical records (10/11), identification of possibly infectious cases (7/11), and speed of list preparation (10/11). The average reported time savings in list preparation was 1.4 h/day. Respondents indicated the application improved the speed (11/16), clarity (13/16), and accuracy (10/16) of morning report. During the workday, respondents reported the application improved real-time case review (14/16) and situational awareness of ongoing cases (13/16). CONCLUSIONS: A majority of respondents found the SPS-PM improved all preparatory and logistical aspects of the Mayo Clinic frozen section surgical pathology practice. In addition, use of the SPS-PM saved an average of 1.4 h/day for residents and fellows engaged in preparatory case review.
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spelling pubmed-53599962017-04-11 Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases Norgan, Andrew P. Okeson, Mathew L. Juskewitch, Justin E. Shah, Kabeer K. Sukov, William R. J Pathol Inform Technical Note BACKGROUND: The frozen section pathology practice at Mayo Clinic in Rochester performs ~20,000 intraoperative consultations a year (~70–80/weekday). To prepare for intraoperative consultations, surgical pathology fellows and residents review the case history, previous pathology, and relevant imaging the day before surgery. Before the work described herein, review of pending surgical pathology cases was a paper-based process requiring handwritten transcription from the electronic health record, a laborious and potentially error prone process. METHODS: To facilitate more efficient case review, a modular extension of an existing surgical listing software application (Surgical and Procedure Scheduling [SPS]) was developed. The module (SPS-pathology-specific module [PM]) added pathology-specific functionality including recording case notes, prefetching of radiology, pathology, and operative reports from the medical record, flagging infectious cases, and real-time tracking of cases in the operating room. After implementation, users were surveyed about its impact on the surgical pathology practice. RESULTS: There were 16 survey respondents (five staff pathologists and eleven residents or fellows). All trainees (11/11) responded that the application improved an aspect of surgical list review including abstraction from medical records (10/11), identification of possibly infectious cases (7/11), and speed of list preparation (10/11). The average reported time savings in list preparation was 1.4 h/day. Respondents indicated the application improved the speed (11/16), clarity (13/16), and accuracy (10/16) of morning report. During the workday, respondents reported the application improved real-time case review (14/16) and situational awareness of ongoing cases (13/16). CONCLUSIONS: A majority of respondents found the SPS-PM improved all preparatory and logistical aspects of the Mayo Clinic frozen section surgical pathology practice. In addition, use of the SPS-PM saved an average of 1.4 h/day for residents and fellows engaged in preparatory case review. Medknow Publications & Media Pvt Ltd 2017-02-28 /pmc/articles/PMC5359996/ /pubmed/28400992 http://dx.doi.org/10.4103/2153-3539.201112 Text en Copyright: © 2017 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 Technical Note
Norgan, Andrew P.
Okeson, Mathew L.
Juskewitch, Justin E.
Shah, Kabeer K.
Sukov, William R.
Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases
title Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases
title_full Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases
title_fullStr Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases
title_full_unstemmed Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases
title_short Implementation of a Software Application for Presurgical Case History Review of Frozen Section Pathology Cases
title_sort implementation of a software application for presurgical case history review of frozen section pathology cases
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5359996/
https://www.ncbi.nlm.nih.gov/pubmed/28400992
http://dx.doi.org/10.4103/2153-3539.201112
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