Elements of an Effective Incident Command Center

Tosh, Pritish K.; Bucks, Colin M.; O’Horo, John C.; DeMartino, Erin S.; Johnson, Jay M.; Callies, Byron I.

doi:10.1016/j.mayocp.2020.06.026

Cited by 14 publications

(11 citation statements)

References 8 publications

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“…The registries also complemented other innovative contributions from our health system. 2,3,[10][11][12][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] The COVID-19 registries are used extensively to manage the daily operations of the clinical practice. For example, surgical services use patient registry data and dashboards (Figure 1) to develop a new clinical workflow process implemented at the preoperative evaluation clinic to manage the testing, symptom screening, patient education, and preoperative optimization of surgical patients.…”

Section: Discussionmentioning

confidence: 99%

“…he coronavirus disease 2019 (COVID-19) pandemic continues to challenge the health system with the need to make operational decisions based on limited data and rapidly evolving clinical practice guidelines. [1][2][3][4][5][6][7] Digital health surveillance applications based on electronic health record (EHR) data can help address the challenges posed by COVID-19, including needs for health surveillance, screening, triage, diagnosis, and monitoring. New approaches include adoption of novel digital patientfacing self-triage and self-scheduling tools.…”

mentioning

confidence: 99%

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Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019

Jose¹,

Warner²,

O’Horo³

et al. 2021

Mayo Clinic Proceedings: Innovations, Quality & Outcomes

Self Cite

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Objective: To describe the design, implementation, and utilization of electronic health record (EHR)e based digital health surveillance strategies used to manage the coronavirus disease 2019 (COVID-19) pandemic and to ensure delivery of high-quality clinical care, such as case identification, remote monitoring, telemedicine services, and recruitment to clinical trials at Mayo Clinic. Methods: The design and implementation work described in this report was performed at Mayo Clinic, a large multistate integrated health care system with more than 1.5 million annual patient visits that uses the Epic EHR system. Rule-based live registries were designed in the EHR system to classify patients who currently test positive for COVID-19, patients who test positive but have recovered from COVID-19, patients who are thought to have COVID-19 but do not yet meet clinical diagnostic criteria, patients who test negative for COVID-19, and patients who exceed a risk score for serious complications from COVID-19. Results: By use of registries, custom dashboards and operational reports were developed to provide a daily high-level summary for clinical practice use and up-to-date information to manage individual patients affected by COVID-19, including support of case identification, contact isolation, and other care management tasks. Conclusion: We developed and implemented a systematic approach to the use of EHR patient registries to manage the COVID-19 pandemic that proved feasible and useful in a large multistate group clinical practice. The key to harnessing the potential of digital surveillance tools to promote patient-centered care during the COVID-19 pandemic was to use the registry data, reports, and dashboards as informatics tools to inform decision-making.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019

Jose¹,

Warner²,

O’Horo³

et al. 2021

Mayo Clinic Proceedings: Innovations, Quality & Outcomes

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, the pandemic resulted in the need for incorporation of long-term changes to clinical practices that land outside the scope of the HICS. 31 Parallel yet integrated processes for addressing hospital response needs not adequately consolidated in HICS should be considered in emergency management plans.…”

Section: Responsementioning

confidence: 99%

Emergency preparedness: What is the future?

Herstein

Schwedhelm

Vasa

et al. 2021

ASHE

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Emergency preparedness programs have evolved over the last several decades as communities have responded to natural, intentional, and accidental disasters. This evolution has resulted in a comprehensive all-hazards approach centered around 4 fundamental phases spanning the entire disaster life cycle: mitigation, preparedness, response, and recovery. Increasing frequency of outbreaks and epidemics of emerging and reemerging infectious diseases in the last decade has emphasized the significance of healthcare emergency preparedness programs, but the coronavirus disease 2019 (COVID-19) pandemic has tested healthcare facilities’ emergency plans and exposed vulnerabilities in healthcare emergency preparedness on a scale unexperienced in recent history. We review the 4 phases of emergency management and explore the lessons to be learned from recent events in enhancing health systems capabilities and capacities to mitigate, prepare for, respond to, and recover from biological threats or events, whether it be a pandemic or a single case of an unknown infectious disease. A recurring cycle of assessing, planning, training, exercising, and revising is vital to maintaining healthcare system preparedness, even in absence of an immediate, high probability threat. Healthcare epidemiologists and infection preventionists must play a pivotal role in incorporating lessons learned from the pandemic into emergency preparedness programs and building more robust preparedness plans.

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“…2 In the USA, several healthcare systems have attributed successful outcomes such as effective ventilator management to the implementation of HEICS. [3][4][5] Meanwhile, in Canada, COVID-19 has tested these systems, and weaknesses are beginning to show in the capabilities of hospitals to provide a prolonged disaster response. 6 Moreover, there is inconsistency across the Canadian provinces in the standardisation of incident command structures.…”

Section: Introductionmentioning

confidence: 99%