[Development and deployment of a standardized pathology report in lung cancer, basing on a data management software: The PELICAN software].

Ann Pathol

Service d'anatomie et cytologie pathologiques, hôpital Central, CHRU de Nancy, 29, avenue du Maréchal-De-Lattre de Tassigny, 54000 Nancy, France; Centre de ressources biologiques BB-0033-00035, CHRU de Nancy, 54000 Nancy, France; INSERM U1256, équipe 3 MIGB, NGERE, université de Lorraine, 54500 Vandoeuvre-Les-Nancy, France. Electronic address:

Published: April 2019

Introduction: PELICAN (« Partager Éfficacement en Laboratoire les Informations des Comptes rendus ANatomopathologiques ») is a software which generates standardized reports and, in parallel, allows to automatically create a database that can be used for research purpose. This application has been used in our laboratory since 2014 for central nervous system tumors. The aim of this work was to extend it to another type of tumor, lung cancer.

Materials And Methods: The content of the pathology reports was previously defined using various standards (Société Française de Pathologie, Institut National du Cancer, WHO Classification 2015, …). A double codification was used with SNOMED and ADICAP codes. The PELICAN application is a Microsoft Excel file containing a software specifically developed for pathology laboratories, written in Visual Basic for Applications and respecting the CDA-R2 standard.

Results: After definition of the software specifications, a beta-version was installed in February 2018. After various updates, the 3.19 version was installed in July 2018. Almost all lung cancer surgical pathology reports are now generated with the PELICAN software; a total of 56 reports were validated at the time of writing this manuscript. The medical time for the generation of the report was globally the same or decreased for some pathologists. The secretarial time was greatly reduced.

Conclusion: The PELICAN software is an easy to use tool that allows to generate standardized reports in pulmonary pathology and to feed a database that can be easily used for statistical purposes.

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Source
http://dx.doi.org/10.1016/j.annpat.2018.12.001DOI Listing

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