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How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology
In a real world search, it can be important to keep ‘an eye out’ for items of interest that are not the primary subject of the search. For instance, you might look for the exit sign on the freeway, but you should also respond to the armadillo crossing the road. In medicine, these items are known as...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569644/ https://www.ncbi.nlm.nih.gov/pubmed/28890920 http://dx.doi.org/10.1186/s41235-017-0072-5 |
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author | Wolfe, Jeremy M. Alaoui Soce, Abla Schill, Hayden M. |
author_facet | Wolfe, Jeremy M. Alaoui Soce, Abla Schill, Hayden M. |
author_sort | Wolfe, Jeremy M. |
collection | PubMed |
description | In a real world search, it can be important to keep ‘an eye out’ for items of interest that are not the primary subject of the search. For instance, you might look for the exit sign on the freeway, but you should also respond to the armadillo crossing the road. In medicine, these items are known as “incidental findings,” findings of possible clinical significance that were not the main object of search. These errors (e.g., missing a broken rib while looking for pneumonia) have medical consequences for the patient and potential legal consequences for the physician. Here we report three experiments intended to develop a ‘model system’ for incidental findings – a paradigm that could be used in the lab to develop strategies to reduce incidental finding errors in the clinic. All the experiments involve ‘hybrid’ visual search for any of several targets held in memory. In this ‘mixed hybrid search task,’ observers search for any of three specific targets (e.g., this rabbit, this truck, and this spoon) and three categorical targets (e.g., masks, furniture, and plants). The hypothesis is that the specific items are like the specific goals of a real world search and the categorical targets are like the less well-defined incidental findings that might be present and that should be reported. In all these experiments, varying target prevalence, number of targets, etc., the categorical targets are missed at a much higher rate than the specific targets. This paradigm shows promise as a model of the incidental finding problem. |
format | Online Article Text |
id | pubmed-5569644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-55696442017-09-07 How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology Wolfe, Jeremy M. Alaoui Soce, Abla Schill, Hayden M. Cogn Res Princ Implic Original Article In a real world search, it can be important to keep ‘an eye out’ for items of interest that are not the primary subject of the search. For instance, you might look for the exit sign on the freeway, but you should also respond to the armadillo crossing the road. In medicine, these items are known as “incidental findings,” findings of possible clinical significance that were not the main object of search. These errors (e.g., missing a broken rib while looking for pneumonia) have medical consequences for the patient and potential legal consequences for the physician. Here we report three experiments intended to develop a ‘model system’ for incidental findings – a paradigm that could be used in the lab to develop strategies to reduce incidental finding errors in the clinic. All the experiments involve ‘hybrid’ visual search for any of several targets held in memory. In this ‘mixed hybrid search task,’ observers search for any of three specific targets (e.g., this rabbit, this truck, and this spoon) and three categorical targets (e.g., masks, furniture, and plants). The hypothesis is that the specific items are like the specific goals of a real world search and the categorical targets are like the less well-defined incidental findings that might be present and that should be reported. In all these experiments, varying target prevalence, number of targets, etc., the categorical targets are missed at a much higher rate than the specific targets. This paradigm shows promise as a model of the incidental finding problem. Springer International Publishing 2017-08-23 /pmc/articles/PMC5569644/ /pubmed/28890920 http://dx.doi.org/10.1186/s41235-017-0072-5 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Wolfe, Jeremy M. Alaoui Soce, Abla Schill, Hayden M. How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
title | How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
title_full | How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
title_fullStr | How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
title_full_unstemmed | How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
title_short | How did I miss that? Developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
title_sort | how did i miss that? developing mixed hybrid visual search as a ‘model system’ for incidental finding errors in radiology |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569644/ https://www.ncbi.nlm.nih.gov/pubmed/28890920 http://dx.doi.org/10.1186/s41235-017-0072-5 |
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