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Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems
Accurate display and interpretation of clinical laboratory test results is essential for safe and effective diagnosis and treatment. In an attempt to ascertain how well current electronic health records (EHRs) facilitated these processes, we evaluated the graphical displays of laboratory test result...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482275/ https://www.ncbi.nlm.nih.gov/pubmed/25792704 http://dx.doi.org/10.1093/jamia/ocv013 |
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author | Sittig, Dean F Murphy, Daniel R Smith, Michael W Russo, Elise Wright, Adam Singh, Hardeep |
author_facet | Sittig, Dean F Murphy, Daniel R Smith, Michael W Russo, Elise Wright, Adam Singh, Hardeep |
author_sort | Sittig, Dean F |
collection | PubMed |
description | Accurate display and interpretation of clinical laboratory test results is essential for safe and effective diagnosis and treatment. In an attempt to ascertain how well current electronic health records (EHRs) facilitated these processes, we evaluated the graphical displays of laboratory test results in eight EHRs using objective criteria for optimal graphs based on literature and expert opinion. None of the EHRs met all 11 criteria; the magnitude of deficiency ranged from one EHR meeting 10 of 11 criteria to three EHRs meeting only 5 of 11 criteria. One criterion (i.e., the EHR has a graph with y-axis labels that display both the name of the measured variable and the units of measure) was absent from all EHRs. One EHR system graphed results in reverse chronological order. One EHR system plotted data collected at unequally-spaced points in time using equally-spaced data points, which had the effect of erroneously depicting the visual slope perception between data points. This deficiency could have a significant, negative impact on patient safety. Only two EHR systems allowed users to see, hover-over, or click on a data point to see the precise values of the x–y coordinates. Our study suggests that many current EHR-generated graphs do not meet evidence-based criteria aimed at improving laboratory data comprehension. |
format | Online Article Text |
id | pubmed-4482275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44822752016-07-01 Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems Sittig, Dean F Murphy, Daniel R Smith, Michael W Russo, Elise Wright, Adam Singh, Hardeep J Am Med Inform Assoc Brief Communication Accurate display and interpretation of clinical laboratory test results is essential for safe and effective diagnosis and treatment. In an attempt to ascertain how well current electronic health records (EHRs) facilitated these processes, we evaluated the graphical displays of laboratory test results in eight EHRs using objective criteria for optimal graphs based on literature and expert opinion. None of the EHRs met all 11 criteria; the magnitude of deficiency ranged from one EHR meeting 10 of 11 criteria to three EHRs meeting only 5 of 11 criteria. One criterion (i.e., the EHR has a graph with y-axis labels that display both the name of the measured variable and the units of measure) was absent from all EHRs. One EHR system graphed results in reverse chronological order. One EHR system plotted data collected at unequally-spaced points in time using equally-spaced data points, which had the effect of erroneously depicting the visual slope perception between data points. This deficiency could have a significant, negative impact on patient safety. Only two EHR systems allowed users to see, hover-over, or click on a data point to see the precise values of the x–y coordinates. Our study suggests that many current EHR-generated graphs do not meet evidence-based criteria aimed at improving laboratory data comprehension. Oxford University Press 2015-07 2015-03-19 /pmc/articles/PMC4482275/ /pubmed/25792704 http://dx.doi.org/10.1093/jamia/ocv013 Text en © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communication Sittig, Dean F Murphy, Daniel R Smith, Michael W Russo, Elise Wright, Adam Singh, Hardeep Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems |
title | Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems |
title_full | Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems |
title_fullStr | Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems |
title_full_unstemmed | Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems |
title_short | Graphical display of diagnostic test results in electronic health Records: a comparison of 8 systems |
title_sort | graphical display of diagnostic test results in electronic health records: a comparison of 8 systems |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482275/ https://www.ncbi.nlm.nih.gov/pubmed/25792704 http://dx.doi.org/10.1093/jamia/ocv013 |
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