Your browser doesn't support javascript.
Simulation-Based Up-Training in Response to the COVID-19 Pandemic.
Nair, Sunil S; Kaufman, Brian.
  • Nair SS; From the Department of Medicine (S.S.N.), NYU Grossman School of Medicine (S.S.N.); Veterans Affairs New York Harbor Simulation Laboratory (B.K.); Department of Anesthesiology, NYU Grossman School of Medicine (B.K.); and VA NY Harbor Healthcare System (B.K.), New York City, NY.
Simul Healthc ; 15(6): 447-448, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-811140
ABSTRACT
STATEMENT The dramatic outbreak of COVID-19 placed unprecedented strain on the critical care workforce of New York City. The enhanced precautions required to safely care for COVID-19 patients impacted the performance of even routine critical care procedures. Meanwhile, staff were stretched to care for exponentially rising case volume as COVID intensive care units (ICUs) expanded. Simulation was used to bridge these gaps-first to familiarize personnel within the Division of Pulmonary and Critical Care with revised COVID-19 care procedures, then to orient noncritical care clinicians volunteering from other specialties for COVID ICU deployment to general critical care and COVID-19 care principles. Using mannequin-based simulation scenarios followed by comprehensive debriefing sessions, simulation participants received high-intensity, high-fidelity training in respiratory failure, circulatory failure, bedside ultrasound, bedside ICU procedures, and elements of COVID-19-specific care. More than 200 physicians and advanced practice practitioners completed simulation training in preparation for deployment, supplementing and enhancing the ICU workforce at a decisive time during the outbreak.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Critical Care / High Fidelity Simulation Training / COVID-19 / Intensive Care Units Type of study: Observational study Limits: Humans Language: English Journal: Simul Healthc Journal subject: Health Services Research Year: 2020 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Critical Care / High Fidelity Simulation Training / COVID-19 / Intensive Care Units Type of study: Observational study Limits: Humans Language: English Journal: Simul Healthc Journal subject: Health Services Research Year: 2020 Document Type: Article