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A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology
Accurate pathologic assessment in placental pathology is mostly dependent on a complete clinical history provided by a clinical team. However, often, the necessary clinical information is lacking, and electronic order sets (EOSs), if implemented correctly, create an opportunity for entering consiste...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518210/ https://www.ncbi.nlm.nih.gov/pubmed/33042604 http://dx.doi.org/10.4103/jpi.jpi_24_20 |
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author | Cimic, Adela Mironova, Maria Karakash, Scarlett Sirintrapun, Sahussapont Joseph |
author_facet | Cimic, Adela Mironova, Maria Karakash, Scarlett Sirintrapun, Sahussapont Joseph |
author_sort | Cimic, Adela |
collection | PubMed |
description | Accurate pathologic assessment in placental pathology is mostly dependent on a complete clinical history provided by a clinical team. However, often, the necessary clinical information is lacking, and electronic order sets (EOSs), if implemented correctly, create an opportunity for entering consistent and accurate clinical data. In this viewpoint piece, we describe a framework for synoptic EOS in placental pathology. We outline the necessary data and create optional clinical data that get entered as a dropdown menu of free text. While EOSs are the best way to approach and diagnose placenta and other nonneoplastic pathologic specimens, the barriers for implementation include paper requisitions and a cultural mindset resistance. The aspiration for our synoptic EOS is to become an effective tool for communication between proceduralists and pathologists for proper diagnosis of placental specimens. Through our EOS, the appropriate and complete clinical context is conveyed from the clinical teams to the pathologist. The pathologist can easily and rapidly extract the necessary information to render an accurate and precise diagnosis. The captured data likewise become a valuable research resource. |
format | Online Article Text |
id | pubmed-7518210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-75182102020-10-09 A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology Cimic, Adela Mironova, Maria Karakash, Scarlett Sirintrapun, Sahussapont Joseph J Pathol Inform Editorial Accurate pathologic assessment in placental pathology is mostly dependent on a complete clinical history provided by a clinical team. However, often, the necessary clinical information is lacking, and electronic order sets (EOSs), if implemented correctly, create an opportunity for entering consistent and accurate clinical data. In this viewpoint piece, we describe a framework for synoptic EOS in placental pathology. We outline the necessary data and create optional clinical data that get entered as a dropdown menu of free text. While EOSs are the best way to approach and diagnose placenta and other nonneoplastic pathologic specimens, the barriers for implementation include paper requisitions and a cultural mindset resistance. The aspiration for our synoptic EOS is to become an effective tool for communication between proceduralists and pathologists for proper diagnosis of placental specimens. Through our EOS, the appropriate and complete clinical context is conveyed from the clinical teams to the pathologist. The pathologist can easily and rapidly extract the necessary information to render an accurate and precise diagnosis. The captured data likewise become a valuable research resource. Wolters Kluwer - Medknow 2020-08-21 /pmc/articles/PMC7518210/ /pubmed/33042604 http://dx.doi.org/10.4103/jpi.jpi_24_20 Text en Copyright: © 2020 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Editorial Cimic, Adela Mironova, Maria Karakash, Scarlett Sirintrapun, Sahussapont Joseph A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology |
title | A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology |
title_full | A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology |
title_fullStr | A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology |
title_full_unstemmed | A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology |
title_short | A Synoptic Electronic Order Set for Placental Pathology: A Framework Extensible to Nonneoplastic Pathology |
title_sort | synoptic electronic order set for placental pathology: a framework extensible to nonneoplastic pathology |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518210/ https://www.ncbi.nlm.nih.gov/pubmed/33042604 http://dx.doi.org/10.4103/jpi.jpi_24_20 |
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