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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Format: | Article |
Language: | English |
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Elsevier
2017-01-01
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Series: | Journal of Pathology Informatics |
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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. |
first_indexed | 2024-04-12T11:17:42Z |
format | Article |
id | doaj.art-3113691ddf684ac1914aec6956d721dd |
institution | Directory Open Access Journal |
issn | 2153-3539 2153-3539 |
language | English |
last_indexed | 2024-04-12T11:17:42Z |
publishDate | 2017-01-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Pathology Informatics |
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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