Performance of a web-based method for generating synoptic reports

Context: The College of American Pathologists (CAP) requires synoptic reporting of all tumor excisions. Objective: To compare the performance of different methods of generating synoptic reports. Methods: Completeness, amendment rates, rate of timely ordering of ancillary studies (KRAS in T4/N1 colon...

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Main Authors: Megan A Renshaw, Scott A Renshaw, Mercy Mena-Allauca, Patricia P Carrion, Xiaorong Mei, Arniris Narciandi, Edwin W Gould, Andrew A Renshaw
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Journal of Pathology Informatics
Subjects:
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=13;epage=13;aulast=Renshaw
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author Megan A Renshaw
Scott A Renshaw
Mercy Mena-Allauca
Patricia P Carrion
Xiaorong Mei
Arniris Narciandi
Edwin W Gould
Andrew A Renshaw
author_facet Megan A Renshaw
Scott A Renshaw
Mercy Mena-Allauca
Patricia P Carrion
Xiaorong Mei
Arniris Narciandi
Edwin W Gould
Andrew A Renshaw
author_sort Megan A Renshaw
collection DOAJ
description Context: The College of American Pathologists (CAP) requires synoptic reporting of all tumor excisions. Objective: To compare the performance of different methods of generating synoptic reports. Methods: Completeness, amendment rates, rate of timely ordering of ancillary studies (KRAS in T4/N1 colon carcinoma), and structured data file extraction were compared for four different synoptic report generating methods. Results: Use of the printed tumor protocols directly from the CAP website had the lowest completeness (84%) and highest amendment (1.8%) rates. Reformatting these protocols was associated with higher completeness (94%, P < 0.001) and reduced amendment (1%, P = 0.20) rates. Extraction into a structured data file was successful 93% of the time. Word-based macros improved completeness (98% vs. 94%, P < 0.001) but not amendment rates (1.5%). KRAS was ordered before sign out 89% of the time. In contrast, a web-based product with a reminder flag when items were missing, an embedded flag for data extraction, and a reminder to order KRAS when appropriate resulted in improved completeness (100%, P = 0.005), amendment rates (0.3%, P = 0.03), KRAS ordering before sign out (100%, P = 0.23), and structured data extraction (100%, P < 0.001) without reducing the speed (P = 0.34) or accuracy (P = 1.00) of data extraction by the reader. Conclusion: Completeness, amendment rates, ancillary test ordering rates, and data extraction rates vary significantly with the method used to construct the synoptic report. A web-based method compares favorably with all other methods examined and does not reduce reader usability.
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spelling doaj.art-3113691ddf684ac1914aec6956d721dd2022-12-22T03:35:28ZengElsevierJournal of Pathology Informatics2153-35392153-35392017-01-0181131310.4103/jpi.jpi_91_16Performance of a web-based method for generating synoptic reportsMegan A RenshawScott A RenshawMercy Mena-AllaucaPatricia P CarrionXiaorong MeiArniris NarciandiEdwin W GouldAndrew A RenshawContext: The College of American Pathologists (CAP) requires synoptic reporting of all tumor excisions. Objective: To compare the performance of different methods of generating synoptic reports. Methods: Completeness, amendment rates, rate of timely ordering of ancillary studies (KRAS in T4/N1 colon carcinoma), and structured data file extraction were compared for four different synoptic report generating methods. Results: Use of the printed tumor protocols directly from the CAP website had the lowest completeness (84%) and highest amendment (1.8%) rates. Reformatting these protocols was associated with higher completeness (94%, P < 0.001) and reduced amendment (1%, P = 0.20) rates. Extraction into a structured data file was successful 93% of the time. Word-based macros improved completeness (98% vs. 94%, P < 0.001) but not amendment rates (1.5%). KRAS was ordered before sign out 89% of the time. In contrast, a web-based product with a reminder flag when items were missing, an embedded flag for data extraction, and a reminder to order KRAS when appropriate resulted in improved completeness (100%, P = 0.005), amendment rates (0.3%, P = 0.03), KRAS ordering before sign out (100%, P = 0.23), and structured data extraction (100%, P < 0.001) without reducing the speed (P = 0.34) or accuracy (P = 1.00) of data extraction by the reader. Conclusion: Completeness, amendment rates, ancillary test ordering rates, and data extraction rates vary significantly with the method used to construct the synoptic report. A web-based method compares favorably with all other methods examined and does not reduce reader usability.http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=13;epage=13;aulast=RenshawAccuracyanatomic pathologycancerCollege of American Pathologistscomputerdiagnosiserrorinternetquality assurancesurgical pathologytemplatesweb
spellingShingle Megan A Renshaw
Scott A Renshaw
Mercy Mena-Allauca
Patricia P Carrion
Xiaorong Mei
Arniris Narciandi
Edwin W Gould
Andrew A Renshaw
Performance of a web-based method for generating synoptic reports
Journal of Pathology Informatics
Accuracy
anatomic pathology
cancer
College of American Pathologists
computer
diagnosis
error
internet
quality assurance
surgical pathology
templates
web
title Performance of a web-based method for generating synoptic reports
title_full Performance of a web-based method for generating synoptic reports
title_fullStr Performance of a web-based method for generating synoptic reports
title_full_unstemmed Performance of a web-based method for generating synoptic reports
title_short Performance of a web-based method for generating synoptic reports
title_sort performance of a web based method for generating synoptic reports
topic Accuracy
anatomic pathology
cancer
College of American Pathologists
computer
diagnosis
error
internet
quality assurance
surgical pathology
templates
web
url http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2017;volume=8;issue=1;spage=13;epage=13;aulast=Renshaw
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