Cargando…
Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado
OBJECTIVE: Large health systems responding to the coronavirus disease 2019 (COVID-19) pandemic face a broad range of challenges; we describe 14 examples of innovative and effective informatics interventions. MATERIALS AND METHODS: A team of 30 physician and 17 nurse informaticists with an electronic...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454679/ https://www.ncbi.nlm.nih.gov/pubmed/32687152 http://dx.doi.org/10.1093/jamia/ocaa171 |
_version_ | 1783575519385616384 |
---|---|
author | Lin, Chen-Tan Bookman, Kelly Sieja, Amber Markley, Katie Altman, Richard L Sippel, Jeffrey Perica, Katharine Reece, Lori Davis, Christopher Horowitz, Edward Pisney, Larissa Sottile, Peter D Kao, David Adrian, Bonnie Szkil, Melissa Griffin, Julie Youngwerth, Jeanie Drew, Brendan Pell, Jonathan |
author_facet | Lin, Chen-Tan Bookman, Kelly Sieja, Amber Markley, Katie Altman, Richard L Sippel, Jeffrey Perica, Katharine Reece, Lori Davis, Christopher Horowitz, Edward Pisney, Larissa Sottile, Peter D Kao, David Adrian, Bonnie Szkil, Melissa Griffin, Julie Youngwerth, Jeanie Drew, Brendan Pell, Jonathan |
author_sort | Lin, Chen-Tan |
collection | PubMed |
description | OBJECTIVE: Large health systems responding to the coronavirus disease 2019 (COVID-19) pandemic face a broad range of challenges; we describe 14 examples of innovative and effective informatics interventions. MATERIALS AND METHODS: A team of 30 physician and 17 nurse informaticists with an electronic health record (EHR) and associated informatics tools. RESULTS: To meet the demands posed by the influx of patients with COVID-19 into the health system, the team built solutions to accomplish the following goals: 1) train physicians and nurses quickly to manage a potential surge of hospital patients; 2) build and adjust interactive visual pathways to guide decisions; 3) scale up video visits and teach best-practice communication; 4) use tablets and remote monitors to improve in-hospital and posthospital patient connections; 5) allow hundreds of physicians to build rapid consensus; 6) improve the use of advance care planning; 7) keep clinicians aware of patients’ changing COVID-19 status; 8) connect nurses and families in new ways; 9) semi-automate Crisis Standards of Care; and 10) predict future hospitalizations. DISCUSSION: During the onset of the COVID-19 pandemic, the UCHealth Joint Informatics Group applied a strategy of “practical informatics” to rapidly translate critical leadership decisions into understandable guidance and effective tools for patient care. CONCLUSION: Informatics-trained physicians and nurses drew upon their trusted relationships with multiple teams within the organization to create practical solutions for onboarding, clinical decision-making, telehealth, and predictive analytics. |
format | Online Article Text |
id | pubmed-7454679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74546792020-08-31 Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado Lin, Chen-Tan Bookman, Kelly Sieja, Amber Markley, Katie Altman, Richard L Sippel, Jeffrey Perica, Katharine Reece, Lori Davis, Christopher Horowitz, Edward Pisney, Larissa Sottile, Peter D Kao, David Adrian, Bonnie Szkil, Melissa Griffin, Julie Youngwerth, Jeanie Drew, Brendan Pell, Jonathan J Am Med Inform Assoc Case Reports OBJECTIVE: Large health systems responding to the coronavirus disease 2019 (COVID-19) pandemic face a broad range of challenges; we describe 14 examples of innovative and effective informatics interventions. MATERIALS AND METHODS: A team of 30 physician and 17 nurse informaticists with an electronic health record (EHR) and associated informatics tools. RESULTS: To meet the demands posed by the influx of patients with COVID-19 into the health system, the team built solutions to accomplish the following goals: 1) train physicians and nurses quickly to manage a potential surge of hospital patients; 2) build and adjust interactive visual pathways to guide decisions; 3) scale up video visits and teach best-practice communication; 4) use tablets and remote monitors to improve in-hospital and posthospital patient connections; 5) allow hundreds of physicians to build rapid consensus; 6) improve the use of advance care planning; 7) keep clinicians aware of patients’ changing COVID-19 status; 8) connect nurses and families in new ways; 9) semi-automate Crisis Standards of Care; and 10) predict future hospitalizations. DISCUSSION: During the onset of the COVID-19 pandemic, the UCHealth Joint Informatics Group applied a strategy of “practical informatics” to rapidly translate critical leadership decisions into understandable guidance and effective tools for patient care. CONCLUSION: Informatics-trained physicians and nurses drew upon their trusted relationships with multiple teams within the organization to create practical solutions for onboarding, clinical decision-making, telehealth, and predictive analytics. Oxford University Press 2020-07-20 /pmc/articles/PMC7454679/ /pubmed/32687152 http://dx.doi.org/10.1093/jamia/ocaa171 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 | Case Reports Lin, Chen-Tan Bookman, Kelly Sieja, Amber Markley, Katie Altman, Richard L Sippel, Jeffrey Perica, Katharine Reece, Lori Davis, Christopher Horowitz, Edward Pisney, Larissa Sottile, Peter D Kao, David Adrian, Bonnie Szkil, Melissa Griffin, Julie Youngwerth, Jeanie Drew, Brendan Pell, Jonathan Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado |
title | Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado |
title_full | Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado |
title_fullStr | Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado |
title_full_unstemmed | Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado |
title_short | Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado |
title_sort | clinical informatics accelerates health system adaptation to the covid-19 pandemic: examples from colorado |
topic | Case Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454679/ https://www.ncbi.nlm.nih.gov/pubmed/32687152 http://dx.doi.org/10.1093/jamia/ocaa171 |
work_keys_str_mv | AT linchentan clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT bookmankelly clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT siejaamber clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT markleykatie clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT altmanrichardl clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT sippeljeffrey clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT pericakatharine clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT reecelori clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT davischristopher clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT horowitzedward clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT pisneylarissa clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT sottilepeterd clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT kaodavid clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT adrianbonnie clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT szkilmelissa clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT griffinjulie clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT youngwerthjeanie clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT drewbrendan clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado AT pelljonathan clinicalinformaticsaccelerateshealthsystemadaptationtothecovid19pandemicexamplesfromcolorado |