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Rapid Implementation of a Complex, Multimodal Technology Response to COVID-19 at an Integrated Community-Based Health Care System.
Knighton, Andrew J; Ranade-Kharkar, Pallavi; Brunisholz, Kimberly D; Wolfe, Douglas; Allen, Lauren; Belnap, Thomas W; Moores Todd, Tamara; Srivastava, Rajendu; Kapsandoy, Seraphine; Ize-Ludlow, Diego; Allen, Todd L.
  • Knighton AJ; Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, United States.
  • Ranade-Kharkar P; Care Transformation Information Systems, Intermountain Healthcare, Salt Lake City, Utah, United States.
  • Brunisholz KD; Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, United States.
  • Wolfe D; Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, United States.
  • Allen L; Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, United States.
  • Belnap TW; Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, United States.
  • Moores Todd T; Care Transformation Information Systems, Intermountain Healthcare, Salt Lake City, Utah, United States.
  • Srivastava R; Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, United States.
  • Kapsandoy S; Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, United States.
  • Ize-Ludlow D; Care Transformation Information Systems, Intermountain Healthcare, Salt Lake City, Utah, United States.
  • Allen TL; Care Transformation Information Systems, Intermountain Healthcare, Salt Lake City, Utah, United States.
Appl Clin Inform ; 11(5): 825-838, 2020 10.
Article in English | MEDLINE | ID: covidwho-978537
ABSTRACT

BACKGROUND:

The rapid spread of severe acute respiratory syndrome coronavirus-2 or SARS-CoV-2 necessitated a scaled treatment response to the novel coronavirus disease 2019 (COVID-19).

OBJECTIVE:

This study aimed to characterize the design and rapid implementation of a complex, multimodal, technology response to COVID-19 led by the Intermountain Healthcare's (Intermountain's) Care Transformation Information Systems (CTIS) organization to build pandemic surge capacity.

METHODS:

Intermountain has active community-spread cases of COVID-19 that are increasing. We used the Centers for Disease Control and Prevention Pandemic Intervals Framework (the Framework) to characterize CTIS leadership's multimodal technology response to COVID-19 at Intermountain. We provide results on implementation feasibility and sustainability of health information technology (HIT) interventions as of June 30, 2020, characterize lessons learned and identify persistent barriers to sustained deployment.

RESULTS:

We characterize the CTIS organization's multimodal technology response to COVID-19 in five relevant areas of the Framework enabling (1) incident management, (2) surveillance, (3) laboratory testing, (4) community mitigation, and (5) medical care and countermeasures. We are seeing increased use of traditionally slow-to-adopt technologies that create additional surge capacity while sustaining patient safety and care quality. CTIS leadership recognized early that a multimodal technology intervention could enable additional surge capacity for health care delivery systems with a broad geographic and service scope. A statewide central tracking system to coordinate capacity planning and management response is needed. Order interoperability between health care systems remains a barrier to an integrated response.

CONCLUSION:

The rate of future pandemics is estimated to increase. The pandemic response of health care systems, like Intermountain, offers a blueprint for the leadership role that HIT organizations can play in mainstream care delivery, enabling a nimbler, virtual health care delivery system that is more responsive to current and future needs.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics / Residence Characteristics / Delivery of Health Care / Pandemics / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Appl Clin Inform Year: 2020 Document Type: Article Affiliation country: S-0040-1719179

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics / Residence Characteristics / Delivery of Health Care / Pandemics / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Appl Clin Inform Year: 2020 Document Type: Article Affiliation country: S-0040-1719179