Integration of digital gross pathology images for enterprise-wide access
Background: Sharing digital pathology images for enterprise- wide use into a picture archiving and communication system (PACS) is not yet widely adopted. We share our solution and 3-year experience of transmitting such images to an enterprise image server (EIS). Methods: Gross pathology images acqui...
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Wolters Kluwer Medknow Publications
2012-01-01
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doaj-b5574b2b6e724cbb95f945600343fb612020-11-24T23:39:31ZengWolters Kluwer Medknow PublicationsJournal of Pathology Informatics2153-35392153-35392012-01-0131101010.4103/2153-3539.93892Integration of digital gross pathology images for enterprise-wide accessMilon AminGaurav SharmaAnil V ParwaniRalph AndersonBrian J KolowitzAnthony PiccoliRasu B ShresthaGonzalo Romero LauroLiron PantanowitzBackground: Sharing digital pathology images for enterprise- wide use into a picture archiving and communication system (PACS) is not yet widely adopted. We share our solution and 3-year experience of transmitting such images to an enterprise image server (EIS). Methods: Gross pathology images acquired by prosectors were integrated with clinical cases into the laboratory information system′s image management module, and stored in JPEG2000 format on a networked image server. Automated daily searches for cases with gross images were used to compile an ASCII text file that was forwarded to a separate institutional Enterprise Digital Imaging and Communications in Medicine (DICOM) Wrapper (EDW) server. Concurrently, an HL7-based image order for these cases was generated, containing the locations of images and patient data, and forwarded to the EDW, which combined data in these locations to generate images with patient data, as required by DICOM standards. The image and data were then "wrapped" according to DICOM standards, transferred to the PACS servers, and made accessible on an institution-wide basis. Results: In total, 26,966 gross images from 9,733 cases were transmitted over the 3-year period from the laboratory information system to the EIS. The average process time for cases with successful automatic uploads (n=9,688) to the EIS was 98 seconds. Only 45 cases (0.5%) failed requiring manual intervention. Uploaded images were immediately available to institution- wide PACS users. Since inception, user feedback has been positive. Conclusions: Enterprise- wide PACS- based sharing of pathology images is feasible, provides useful services to clinical staff, and utilizes existing information system and telecommunications infrastructure. PACS-shared pathology images, however, require a "DICOM wrapper" for multisystem compatibility.http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=10;epage=10;aulast=DICOMdigital imageLISPACSpathologywrapper |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Milon Amin Gaurav Sharma Anil V Parwani Ralph Anderson Brian J Kolowitz Anthony Piccoli Rasu B Shrestha Gonzalo Romero Lauro Liron Pantanowitz |
spellingShingle |
Milon Amin Gaurav Sharma Anil V Parwani Ralph Anderson Brian J Kolowitz Anthony Piccoli Rasu B Shrestha Gonzalo Romero Lauro Liron Pantanowitz Integration of digital gross pathology images for enterprise-wide access Journal of Pathology Informatics DICOM digital image LIS PACS pathology wrapper |
author_facet |
Milon Amin Gaurav Sharma Anil V Parwani Ralph Anderson Brian J Kolowitz Anthony Piccoli Rasu B Shrestha Gonzalo Romero Lauro Liron Pantanowitz |
author_sort |
Milon Amin |
title |
Integration of digital gross pathology images for enterprise-wide access |
title_short |
Integration of digital gross pathology images for enterprise-wide access |
title_full |
Integration of digital gross pathology images for enterprise-wide access |
title_fullStr |
Integration of digital gross pathology images for enterprise-wide access |
title_full_unstemmed |
Integration of digital gross pathology images for enterprise-wide access |
title_sort |
integration of digital gross pathology images for enterprise-wide access |
publisher |
Wolters Kluwer Medknow Publications |
series |
Journal of Pathology Informatics |
issn |
2153-3539 2153-3539 |
publishDate |
2012-01-01 |
description |
Background: Sharing digital pathology images for enterprise- wide use into a picture archiving and communication system (PACS) is not yet widely adopted. We share our solution and 3-year experience of transmitting such images to an enterprise image server (EIS). Methods: Gross pathology images acquired by prosectors were integrated with clinical cases into the laboratory information system′s image management module, and stored in JPEG2000 format on a networked image server. Automated daily searches for cases with gross images were used to compile an ASCII text file that was forwarded to a separate institutional Enterprise Digital Imaging and Communications in Medicine (DICOM) Wrapper (EDW) server. Concurrently, an HL7-based image order for these cases was generated, containing the locations of images and patient data, and forwarded to the EDW, which combined data in these locations to generate images with patient data, as required by DICOM standards. The image and data were then "wrapped" according to DICOM standards, transferred to the PACS servers, and made accessible on an institution-wide basis. Results: In total, 26,966 gross images from 9,733 cases were transmitted over the 3-year period from the laboratory information system to the EIS. The average process time for cases with successful automatic uploads (n=9,688) to the EIS was 98 seconds. Only 45 cases (0.5%) failed requiring manual intervention. Uploaded images were immediately available to institution- wide PACS users. Since inception, user feedback has been positive. Conclusions: Enterprise- wide PACS- based sharing of pathology images is feasible, provides useful services to clinical staff, and utilizes existing information system and telecommunications infrastructure. PACS-shared pathology images, however, require a "DICOM wrapper" for multisystem compatibility. |
topic |
DICOM digital image LIS PACS pathology wrapper |
url |
http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2012;volume=3;issue=1;spage=10;epage=10;aulast= |
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