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The 2013 symposium on pathology data integration and clinical decision support and the current state of field

BACKGROUND: Pathologists and informaticians are becoming increasingly interested in electronic clinical decision support for pathology, laboratory medicine and clinical diagnosis. Improved decision support may optimize laboratory test selection, improve test result interpretation and permit the extr...

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Autores principales: Baron, Jason M., Dighe, Anand S., Arnaout, Ramy, Balis, Ulysses J., Black-Schaffer, W. Stephen, Carter, Alexis B., Henricks, Walter H., Higgins, John M., Jackson, Brian R., Kim, JiYeon, Klepeis, Veronica E., Le, Long P., Louis, David N., Mandelker, Diana, Mermel, Craig H., Michaelson, James S., Nagarajan, Rakesh, Platt, Mihae E., Quinn, Andrew M., Rao, Luigi, Shirts, Brian H., Gilbertson, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3952400/
https://www.ncbi.nlm.nih.gov/pubmed/24672737
http://dx.doi.org/10.4103/2153-3539.126145
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author Baron, Jason M.
Dighe, Anand S.
Arnaout, Ramy
Balis, Ulysses J.
Black-Schaffer, W. Stephen
Carter, Alexis B.
Henricks, Walter H.
Higgins, John M.
Jackson, Brian R.
Kim, JiYeon
Klepeis, Veronica E.
Le, Long P.
Louis, David N.
Mandelker, Diana
Mermel, Craig H.
Michaelson, James S.
Nagarajan, Rakesh
Platt, Mihae E.
Quinn, Andrew M.
Rao, Luigi
Shirts, Brian H.
Gilbertson, John R.
author_facet Baron, Jason M.
Dighe, Anand S.
Arnaout, Ramy
Balis, Ulysses J.
Black-Schaffer, W. Stephen
Carter, Alexis B.
Henricks, Walter H.
Higgins, John M.
Jackson, Brian R.
Kim, JiYeon
Klepeis, Veronica E.
Le, Long P.
Louis, David N.
Mandelker, Diana
Mermel, Craig H.
Michaelson, James S.
Nagarajan, Rakesh
Platt, Mihae E.
Quinn, Andrew M.
Rao, Luigi
Shirts, Brian H.
Gilbertson, John R.
author_sort Baron, Jason M.
collection PubMed
description BACKGROUND: Pathologists and informaticians are becoming increasingly interested in electronic clinical decision support for pathology, laboratory medicine and clinical diagnosis. Improved decision support may optimize laboratory test selection, improve test result interpretation and permit the extraction of enhanced diagnostic information from existing laboratory data. Nonetheless, the field of pathology decision support is still developing. To facilitate the exchange of ideas and preliminary studies, we convened a symposium entitled: Pathology data integration and clinical decision support. METHODS: The symposium was held at the Massachusetts General Hospital, on May 10, 2013. Participants were selected to represent diverse backgrounds and interests and were from nine different institutions in eight different states. RESULTS: The day included 16 plenary talks and three panel discussions, together covering four broad areas. Summaries of each presentation are included in this manuscript. CONCLUSIONS: A number of recurrent themes emerged from the symposium. Among the most pervasive was the dichotomy between diagnostic data and diagnostic information, including the opportunities that laboratories may have to use electronic systems and algorithms to convert the data they generate into more useful information. Differences between human talents and computer abilities were described; well-designed symbioses between humans and computers may ultimately optimize diagnosis. Another key theme related to the unique needs and challenges in providing decision support for genomics and other emerging diagnostic modalities. Finally, many talks relayed how the barriers to bringing decision support toward reality are primarily personnel, political, infrastructural and administrative challenges rather than technological limitations.
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spelling pubmed-39524002014-03-26 The 2013 symposium on pathology data integration and clinical decision support and the current state of field Baron, Jason M. Dighe, Anand S. Arnaout, Ramy Balis, Ulysses J. Black-Schaffer, W. Stephen Carter, Alexis B. Henricks, Walter H. Higgins, John M. Jackson, Brian R. Kim, JiYeon Klepeis, Veronica E. Le, Long P. Louis, David N. Mandelker, Diana Mermel, Craig H. Michaelson, James S. Nagarajan, Rakesh Platt, Mihae E. Quinn, Andrew M. Rao, Luigi Shirts, Brian H. Gilbertson, John R. J Pathol Inform Original Article BACKGROUND: Pathologists and informaticians are becoming increasingly interested in electronic clinical decision support for pathology, laboratory medicine and clinical diagnosis. Improved decision support may optimize laboratory test selection, improve test result interpretation and permit the extraction of enhanced diagnostic information from existing laboratory data. Nonetheless, the field of pathology decision support is still developing. To facilitate the exchange of ideas and preliminary studies, we convened a symposium entitled: Pathology data integration and clinical decision support. METHODS: The symposium was held at the Massachusetts General Hospital, on May 10, 2013. Participants were selected to represent diverse backgrounds and interests and were from nine different institutions in eight different states. RESULTS: The day included 16 plenary talks and three panel discussions, together covering four broad areas. Summaries of each presentation are included in this manuscript. CONCLUSIONS: A number of recurrent themes emerged from the symposium. Among the most pervasive was the dichotomy between diagnostic data and diagnostic information, including the opportunities that laboratories may have to use electronic systems and algorithms to convert the data they generate into more useful information. Differences between human talents and computer abilities were described; well-designed symbioses between humans and computers may ultimately optimize diagnosis. Another key theme related to the unique needs and challenges in providing decision support for genomics and other emerging diagnostic modalities. Finally, many talks relayed how the barriers to bringing decision support toward reality are primarily personnel, political, infrastructural and administrative challenges rather than technological limitations. Medknow Publications & Media Pvt Ltd 2014-01-31 /pmc/articles/PMC3952400/ /pubmed/24672737 http://dx.doi.org/10.4103/2153-3539.126145 Text en Copyright: © 2014 Baron JM. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Baron, Jason M.
Dighe, Anand S.
Arnaout, Ramy
Balis, Ulysses J.
Black-Schaffer, W. Stephen
Carter, Alexis B.
Henricks, Walter H.
Higgins, John M.
Jackson, Brian R.
Kim, JiYeon
Klepeis, Veronica E.
Le, Long P.
Louis, David N.
Mandelker, Diana
Mermel, Craig H.
Michaelson, James S.
Nagarajan, Rakesh
Platt, Mihae E.
Quinn, Andrew M.
Rao, Luigi
Shirts, Brian H.
Gilbertson, John R.
The 2013 symposium on pathology data integration and clinical decision support and the current state of field
title The 2013 symposium on pathology data integration and clinical decision support and the current state of field
title_full The 2013 symposium on pathology data integration and clinical decision support and the current state of field
title_fullStr The 2013 symposium on pathology data integration and clinical decision support and the current state of field
title_full_unstemmed The 2013 symposium on pathology data integration and clinical decision support and the current state of field
title_short The 2013 symposium on pathology data integration and clinical decision support and the current state of field
title_sort 2013 symposium on pathology data integration and clinical decision support and the current state of field
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3952400/
https://www.ncbi.nlm.nih.gov/pubmed/24672737
http://dx.doi.org/10.4103/2153-3539.126145
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