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COVID-19 surge readiness: use cases demonstrating how hospitals leveraged digital identity access management for infection control and pandemic response

Overview of attention for article published in BMJ Health & Care Informatics, November 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
37 Mendeley
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Title
COVID-19 surge readiness: use cases demonstrating how hospitals leveraged digital identity access management for infection control and pandemic response
Published in
BMJ Health & Care Informatics, November 2022
DOI 10.1136/bmjhci-2022-100680
Pubmed ID
Authors

George A Gellert, Sean P Kelly, Allen L Hsiao, Brian Herrick, Donna Weis, Jeffrey Lutz, Glynn Stanton, Santos Bonilla, Daniel Borgasano, Matthew Erich, Claire Reilly, Daniel Johnston

Abstract

Surging volumes of patients with COVID-19 and the high infectiousness of SARS-CoV-2 challenged hospital infection control/safety, staffing, care delivery and operations as few crises have. Imperatives to ensure security of patient information, defend against cybersecurity threats and accurately identify/authenticate patients and staff were undiminished, which fostered creative use cases where hospitals leveraged identity access and management (IAM) technologies to improve infection control and minimise disruption of clinical and administrative workflows. Working with a leading IAM solution provider, implementation personnel in the USA and UK identified all hospitals/health systems where an innovative use of IAM technology improved facility infection control and pandemic response management. Interviews/communications with hospital clinical informatics leaders collected information describing the use case deployed. Eight innovative/valuable hospital use cases are described: symptom-free attestation by clinicians at shift start; detection of clinician exposure/contact tracing; reporting of clinician temperature checks; inpatient telehealth consults in isolation units; virtual visits between isolated patients and families; touchless single sign-on authentication; secure access enabled for rapid expansion of personnel working remotely; and monitoring of temporary worker attendance. No systematic, comprehensive survey of all implemented IAM client sites was conducted, and other use cases may be undetected. A standardised reporting/information sharing vehicle is needed whereby IAM use cases aiding facility pandemic response and infection control can be disseminated. Clinical care, infection control and facility operations were improved using IAM solutions during COVID-19. Facility end-user innovation in how IAM solutions are deployed can improve infection control/patient safety, care delivery and clinical workflows during surges of epidemic infectious diseases.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 11%
Student > Ph. D. Student 3 8%
Lecturer 2 5%
Unspecified 2 5%
Student > Doctoral Student 2 5%
Other 3 8%
Unknown 21 57%
Readers by discipline Count As %
Unspecified 2 5%
Computer Science 2 5%
Nursing and Health Professions 2 5%
Social Sciences 2 5%
Business, Management and Accounting 1 3%
Other 5 14%
Unknown 23 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2023.
All research outputs
#2,712,454
of 26,179,695 outputs
Outputs from BMJ Health & Care Informatics
#66
of 508 outputs
Outputs of similar age
#56,716
of 499,008 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 12 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 499,008 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.