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COVID-19 surge readiness: use cases demonstrating how hospitals leveraged digital identity access management for infection control and pandemic response.
Gellert, George A; Kelly, Sean P; Hsiao, Allen L; Herrick, Brian; Weis, Donna; Lutz, Jeffrey; Stanton, Glynn; Bonilla, Santos; Borgasano, Daniel; Erich, Matthew; Reilly, Claire; Johnston, Daniel.
  • Gellert GA; Medical Advisor, Impact Demonstration, Imprivata, San Antonio, Texas, USA ggellert33@gmail.com.
  • Kelly SP; Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts, USA.
  • Hsiao AL; Department of Pediatric Emergency Medicine, Yale School of Medicine and Yale New Haven Health System, New Haven, Connecticut, USA.
  • Herrick B; Department of Health Informatics, Tufts University School of Medicine, Boston, Massachusetts, USA.
  • Weis D; Department of Health Informatics, Nebraska Medicine, Omaha, Nebraska, USA.
  • Lutz J; Department of Health Informatics, New York City Health and Hospitals, New York, New York, USA.
  • Stanton G; Department of Health Informatics, Yale New Haven Health System, New Haven, Connecticut, USA.
  • Bonilla S; Department of Health Informatics, Yale New Haven Health System, New Haven, Connecticut, USA.
  • Borgasano D; Department of Clinical Operatons, Imprivata, Lexington, Massachusetts, USA.
  • Erich M; Department of Clinical Operatons, Imprivata, Lexington, Massachusetts, USA.
  • Reilly C; Department of Clinical Operatons, Imprivata, Lexington, Massachusetts, USA.
  • Johnston D; Department of Clinical Operatons, Imprivata UK, Uxbridge, UK.
BMJ Health Care Inform ; 29(1)2022 Nov.
Article in English | MEDLINE | ID: covidwho-2137661
ABSTRACT

BACKGROUND:

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.

METHODS:

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.

RESULTS:

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.

DISCUSSION:

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.

CONCLUSIONS:

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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Bmjhci-2022-100680

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: Bmjhci-2022-100680