Rapid Deployment of Inpatient Telemedicine In Response to COVID-19 Across Three Health Systems.
Identifieur interne : 000106 ( Main/Exploration ); précédent : 000105; suivant : 000107Rapid Deployment of Inpatient Telemedicine In Response to COVID-19 Across Three Health Systems.
Auteurs : Stacie Vilendrer [États-Unis] ; Birju Patel [États-Unis] ; Whitney Chadwick ; Michael Hwa [États-Unis] ; Steven Asch [États-Unis] ; Natalie Pageler ; Rajiv Ramdeo [États-Unis] ; Erika A. Saliba-Gustafsson [États-Unis] ; Philip Strong [États-Unis] ; Christopher Sharp [États-Unis]Source :
- Journal of the American Medical Informatics Association : JAMIA [ 1527-974X ] ; 2020.
Descripteurs français
- KwdFr :
- Betacoronavirus (MeSH), Californie (MeSH), Centres hospitaliers universitaires (MeSH), Humains (MeSH), Hôpitaux du comté (USA) (MeSH), Hôpitaux pédiatriques (MeSH), Infections à coronavirus (thérapie), Infections à coronavirus (transmission), Infections à coronavirus (épidémiologie), Ordinateurs de poche (MeSH), Pandémies (MeSH), Patients hospitalisés (MeSH), Pneumopathie virale (thérapie), Pneumopathie virale (transmission), Pneumopathie virale (épidémiologie), Professionnels du filet de sécurité sanitaire (MeSH), Transmission de maladie infectieuse du patient au professionnel de santé (prévention et contrôle), Télémédecine (MeSH), Visites d'enseignement clinique (MeSH).
- MESH :
- prévention et contrôle : Transmission de maladie infectieuse du patient au professionnel de santé.
- thérapie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Betacoronavirus, Californie, Centres hospitaliers universitaires, Humains, Hôpitaux du comté (USA), Hôpitaux pédiatriques, Ordinateurs de poche, Pandémies, Patients hospitalisés, Professionnels du filet de sécurité sanitaire, Télémédecine, Visites d'enseignement clinique.
English descriptors
- KwdEn :
- Academic Medical Centers (MeSH), Betacoronavirus (MeSH), California (MeSH), Computers, Handheld (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (therapy), Coronavirus Infections (transmission), Hospitals, County (MeSH), Hospitals, Pediatric (MeSH), Humans (MeSH), Infectious Disease Transmission, Patient-to-Professional (prevention & control), Inpatients (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (therapy), Pneumonia, Viral (transmission), Safety-net Providers (MeSH), Teaching Rounds (MeSH), Telemedicine (MeSH).
- MESH :
- geographic : California.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Infectious Disease Transmission, Patient-to-Professional.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Academic Medical Centers, Betacoronavirus, Computers, Handheld, Hospitals, County, Hospitals, Pediatric, Humans, Inpatients, Pandemics, Safety-net Providers, Teaching Rounds, Telemedicine.
Abstract
OBJECTIVE
To reduce pathogen exposure, conserve personal protective equipment, and facilitate health care personnel work participation in the setting of the COVID-19 pandemic, three affiliated institutions rapidly and independently deployed inpatient telemedicine programs during March 2020. We describe key features and early learnings of these programs in the hospital setting.
METHODS
Relevant clinical and operational leadership from an academic medical center, pediatric teaching hospital, and safety net county health system met to share learnings shortly after deploying inpatient telemedicine. A summative analysis of their learnings was re-circulated for approval.
RESULTS
All three institutions faced pressure to urgently standup new telemedicine systems while still maintaining secure information exchange. Differences across patient demographics and technological capabilities led to variation in solution design, though key technical considerations were similar. Rapid deployment in each system relied on readily available consumer-grade technology, given the existing familiarity to patients and clinicians and minimal infrastructure investment. Preliminary data from the academic medical center over one month suggested positive adoption with 631 inpatient video calls lasting an average (standard deviation) of 16.5 minutes (19.6) based on inclusion criteria.
DISCUSSION
The threat of an imminent surge of COVID-19 patients drove three institutions to rapidly develop inpatient telemedicine solutions. Concurrently, federal and state regulators temporarily relaxed restrictions that would have previously limited these efforts. Strategic direction from executive leadership, leveraging off-the-shelf hardware, vendor engagement, and clinical workflow integration facilitated rapid deployment.
CONCLUSION
The rapid deployment of inpatient telemedicine is feasible across diverse settings as a response to the COVID-19 pandemic.
DOI: 10.1093/jamia/ocaa077
PubMed: 32495830
PubMed Central: PMC7314045
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Betacoronavirus (MeSH)</term>
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<term>Computers, Handheld (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (therapy)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Hospitals, County (MeSH)</term>
<term>Hospitals, Pediatric (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Infectious Disease Transmission, Patient-to-Professional (prevention & control)</term>
<term>Inpatients (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (therapy)</term>
<term>Pneumonia, Viral (transmission)</term>
<term>Safety-net Providers (MeSH)</term>
<term>Teaching Rounds (MeSH)</term>
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<term>Californie (MeSH)</term>
<term>Centres hospitaliers universitaires (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Hôpitaux du comté (USA) (MeSH)</term>
<term>Hôpitaux pédiatriques (MeSH)</term>
<term>Infections à coronavirus (thérapie)</term>
<term>Infections à coronavirus (transmission)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Ordinateurs de poche (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Patients hospitalisés (MeSH)</term>
<term>Pneumopathie virale (thérapie)</term>
<term>Pneumopathie virale (transmission)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Professionnels du filet de sécurité sanitaire (MeSH)</term>
<term>Transmission de maladie infectieuse du patient au professionnel de santé (prévention et contrôle)</term>
<term>Télémédecine (MeSH)</term>
<term>Visites d'enseignement clinique (MeSH)</term>
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<term>Pneumonia, Viral</term>
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<term>Pneumonia, Viral</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<term>Betacoronavirus</term>
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<term>Hospitals, Pediatric</term>
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<term>Pandemics</term>
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<term>Hôpitaux pédiatriques</term>
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<term>Pandémies</term>
<term>Patients hospitalisés</term>
<term>Professionnels du filet de sécurité sanitaire</term>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>To reduce pathogen exposure, conserve personal protective equipment, and facilitate health care personnel work participation in the setting of the COVID-19 pandemic, three affiliated institutions rapidly and independently deployed inpatient telemedicine programs during March 2020. We describe key features and early learnings of these programs in the hospital setting.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Relevant clinical and operational leadership from an academic medical center, pediatric teaching hospital, and safety net county health system met to share learnings shortly after deploying inpatient telemedicine. A summative analysis of their learnings was re-circulated for approval.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>All three institutions faced pressure to urgently standup new telemedicine systems while still maintaining secure information exchange. Differences across patient demographics and technological capabilities led to variation in solution design, though key technical considerations were similar. Rapid deployment in each system relied on readily available consumer-grade technology, given the existing familiarity to patients and clinicians and minimal infrastructure investment. Preliminary data from the academic medical center over one month suggested positive adoption with 631 inpatient video calls lasting an average (standard deviation) of 16.5 minutes (19.6) based on inclusion criteria.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>DISCUSSION</b>
</p>
<p>The threat of an imminent surge of COVID-19 patients drove three institutions to rapidly develop inpatient telemedicine solutions. Concurrently, federal and state regulators temporarily relaxed restrictions that would have previously limited these efforts. Strategic direction from executive leadership, leveraging off-the-shelf hardware, vendor engagement, and clinical workflow integration facilitated rapid deployment.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The rapid deployment of inpatient telemedicine is feasible across diverse settings as a response to the COVID-19 pandemic.</p>
</div>
</front>
</TEI>
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<Month>08</Month>
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<Month>07</Month>
<Day>01</Day>
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<Title>Journal of the American Medical Informatics Association : JAMIA</Title>
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<ArticleTitle>Rapid Deployment of Inpatient Telemedicine In Response to COVID-19 Across Three Health Systems.</ArticleTitle>
<Pagination><MedlinePgn>1102-1109</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1093/jamia/ocaa077</ELocationID>
<Abstract><AbstractText Label="OBJECTIVE">To reduce pathogen exposure, conserve personal protective equipment, and facilitate health care personnel work participation in the setting of the COVID-19 pandemic, three affiliated institutions rapidly and independently deployed inpatient telemedicine programs during March 2020. We describe key features and early learnings of these programs in the hospital setting.</AbstractText>
<AbstractText Label="METHODS">Relevant clinical and operational leadership from an academic medical center, pediatric teaching hospital, and safety net county health system met to share learnings shortly after deploying inpatient telemedicine. A summative analysis of their learnings was re-circulated for approval.</AbstractText>
<AbstractText Label="RESULTS">All three institutions faced pressure to urgently standup new telemedicine systems while still maintaining secure information exchange. Differences across patient demographics and technological capabilities led to variation in solution design, though key technical considerations were similar. Rapid deployment in each system relied on readily available consumer-grade technology, given the existing familiarity to patients and clinicians and minimal infrastructure investment. Preliminary data from the academic medical center over one month suggested positive adoption with 631 inpatient video calls lasting an average (standard deviation) of 16.5 minutes (19.6) based on inclusion criteria.</AbstractText>
<AbstractText Label="DISCUSSION">The threat of an imminent surge of COVID-19 patients drove three institutions to rapidly develop inpatient telemedicine solutions. Concurrently, federal and state regulators temporarily relaxed restrictions that would have previously limited these efforts. Strategic direction from executive leadership, leveraging off-the-shelf hardware, vendor engagement, and clinical workflow integration facilitated rapid deployment.</AbstractText>
<AbstractText Label="CONCLUSION">The rapid deployment of inpatient telemedicine is feasible across diverse settings as a response to the COVID-19 pandemic.</AbstractText>
<CopyrightInformation>© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Vilendrer</LastName>
<ForeName>Stacie</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Stanford Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Patel</LastName>
<ForeName>Birju</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Stanford Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chadwick</LastName>
<ForeName>Whitney</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Division of Hospital Medicine, Department of Pediatrics, Stanford University School of Medicine & Information Services Department, Stanford Children's Health.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hwa</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, County of Santa Clara Health System, 751 S. Bascom Ave, San Jose, CA 95128, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Asch</LastName>
<ForeName>Steven</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Stanford Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>VA Center for Innovation to Implementation, 795 Willow, Menlo Park, CA 94025, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pageler</LastName>
<ForeName>Natalie</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Division of Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine & Information Services Department, Stanford Children's Health.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ramdeo</LastName>
<ForeName>Rajiv</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Technology and Digital Solutions, Stanford Medicine, 300 Pasteur Drive, Palo Alto, CA, 94304, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Saliba-Gustafsson</LastName>
<ForeName>Erika A</ForeName>
<Initials>EA</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Stanford Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Strong</LastName>
<ForeName>Philip</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Administration, County of Santa Clara Health System, 751 S. Bascom Ave, San Jose, CA 95128, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sharp</LastName>
<ForeName>Christopher</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, Stanford Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Am Med Inform Assoc</MedlineTA>
<NlmUniqueID>9430800</NlmUniqueID>
<ISSNLinking>1067-5027</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000046" MajorTopicYN="N">Academic Medical Centers</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002140" MajorTopicYN="N" Type="Geographic">California</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D034201" MajorTopicYN="N">Computers, Handheld</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006766" MajorTopicYN="N">Hospitals, County</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006776" MajorTopicYN="N">Hospitals, Pediatric</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017758" MajorTopicYN="N">Infectious Disease Transmission, Patient-to-Professional</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007297" MajorTopicYN="Y">Inpatients</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D064876" MajorTopicYN="N">Safety-net Providers</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D056164" MajorTopicYN="N">Teaching Rounds</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017216" MajorTopicYN="Y">Telemedicine</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19, pandemic, infection control, PPE use</Keyword>
<Keyword MajorTopicYN="Y">information technology</Keyword>
<Keyword MajorTopicYN="Y">inpatient telemedicine</Keyword>
<Keyword MajorTopicYN="Y">technology implementation</Keyword>
<Keyword MajorTopicYN="Y">telerounding</Keyword>
<Keyword MajorTopicYN="Y">virtual rounding</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>04</Month>
<Day>22</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>04</Month>
<Day>24</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>6</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>8</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>6</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32495830</ArticleId>
<ArticleId IdType="pii">5851302</ArticleId>
<ArticleId IdType="doi">10.1093/jamia/ocaa077</ArticleId>
<ArticleId IdType="pmc">PMC7314045</ArticleId>
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<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Californie</li>
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