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A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge
OBJECTIVES: We develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of the COVID-19 pandemic. MATERIALS AND METHODS: Data visualization software is used to display information from critical care...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717303/ https://www.ncbi.nlm.nih.gov/pubmed/33754136 http://dx.doi.org/10.1093/jamiaopen/ooaa054 |
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author | Jawa, Randeep S Tharakan, Mathew A Tsai, Chaowei Garcia, Victor L Vosswinkel, James A Rutigliano, Daniel N Rubano, Jerry A |
author_facet | Jawa, Randeep S Tharakan, Mathew A Tsai, Chaowei Garcia, Victor L Vosswinkel, James A Rutigliano, Daniel N Rubano, Jerry A |
author_sort | Jawa, Randeep S |
collection | PubMed |
description | OBJECTIVES: We develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of the COVID-19 pandemic. MATERIALS AND METHODS: Data visualization software is used to display information from critical care data mart that extracts information from the EHR. A multidisciplinary collaborative led the development. RESULTS: The dashboard displays institution-level ventilator utilization details, as well as patient-level details such as ventilator settings, organ-system specific parameters, laboratory values, and infusions. DISCUSSION: Components of the dashboard were selected to facilitate the determination of resources and simultaneous assessment of multiple patients. Abnormal values are color coded. An overall illness assessment score is tracked daily to capture illness severity over time. CONCLUSION: This reference guide shares the architecture and sample reusable code to implement a robust, flexible, and scalable dashboard for monitoring ventilator utilization and illness severity in intensive care unit ventilated patients. |
format | Online Article Text |
id | pubmed-7717303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77173032020-12-09 A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge Jawa, Randeep S Tharakan, Mathew A Tsai, Chaowei Garcia, Victor L Vosswinkel, James A Rutigliano, Daniel N Rubano, Jerry A JAMIA Open Application Notes OBJECTIVES: We develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of the COVID-19 pandemic. MATERIALS AND METHODS: Data visualization software is used to display information from critical care data mart that extracts information from the EHR. A multidisciplinary collaborative led the development. RESULTS: The dashboard displays institution-level ventilator utilization details, as well as patient-level details such as ventilator settings, organ-system specific parameters, laboratory values, and infusions. DISCUSSION: Components of the dashboard were selected to facilitate the determination of resources and simultaneous assessment of multiple patients. Abnormal values are color coded. An overall illness assessment score is tracked daily to capture illness severity over time. CONCLUSION: This reference guide shares the architecture and sample reusable code to implement a robust, flexible, and scalable dashboard for monitoring ventilator utilization and illness severity in intensive care unit ventilated patients. Oxford University Press 2020-12-05 /pmc/articles/PMC7717303/ /pubmed/33754136 http://dx.doi.org/10.1093/jamiaopen/ooaa054 Text en © The Author(s) 2020. 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 | Application Notes Jawa, Randeep S Tharakan, Mathew A Tsai, Chaowei Garcia, Victor L Vosswinkel, James A Rutigliano, Daniel N Rubano, Jerry A A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge |
title | A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge |
title_full | A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge |
title_fullStr | A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge |
title_full_unstemmed | A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge |
title_short | A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge |
title_sort | reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during covid-19 pandemic surge |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717303/ https://www.ncbi.nlm.nih.gov/pubmed/33754136 http://dx.doi.org/10.1093/jamiaopen/ooaa054 |
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