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1.
Telemed J E Health ; 27(10): 1105-1110, 2021 10.
Article in English | MEDLINE | ID: mdl-33428513

ABSTRACT

Background: Our objective is to describe our pediatric virtual urgent care (VUC) experience at a large urban academic medical center, in response to the COVID-19 pandemic in New York City (NYC). Materials and Methods: We conducted a retrospective cohort study of our pediatric VUC program of patients less than age 18 years, from March 1 to May 31, 2020. We include data on expansion of staffing, patient demographics, virtual care, and outcomes. Results: We rapidly onboarded, educated, and trained pediatric telemedicine providers. We evaluated 406 pediatric patients with median age 4.4 years and 53.9% male. Median call time was 5:12 pm, median time to provider was 5.7 min, and median duration of call was 11.1 min. The most common reasons for a visit were COVID-19-related symptoms (36%), dermatologic (15%), and trauma (10%). Virtual care for patients consisted of conservative management (72%), medication prescription (18%), and referral to an urgent care or pediatric emergency department (PED) (10%). Of 16 patients referred and presented to our emergency department, 2 required intensive care for multisystem inflammatory syndrome in children. Oral antibiotics were prescribed for 7.1% of all patients. Only 0.005% of patients had an unplanned 72-h PED visit resulting in hospitalization after a VUC visit. Conclusion: Pediatric emergency VUC allowed for high-quality efficient medical care for patients during the peak of the COVID-19 pandemic in NYC. Although most patients were managed conservatively in their home, telemedicine also enabled rapid identification of patients who required in-person emergency care.


Subject(s)
COVID-19 , Telemedicine , Adolescent , COVID-19/complications , Child , Child, Preschool , Female , Humans , Male , New York City/epidemiology , Pandemics , Retrospective Studies , SARS-CoV-2 , Systemic Inflammatory Response Syndrome
2.
Telemed J E Health ; 27(3): 254-260, 2021 03.
Article in English | MEDLINE | ID: mdl-32821027

ABSTRACT

Background: The COVID-19 crisis has highlighted telemedicine as a care delivery tool uniquely suited for a disaster pandemic. Introduction: With support from emergency department (ED) leadership, our institution rapidly deployed telemedicine in a novel approach to large-scale ED infectious disease management at NewYork-Presbyterian/Weill Cornell Medical Center (NYP/WCMC) and NewYork-Presbyterian/Lower Manhattan Hospital (NYP/LMH). Materials and Methods: Nineteen telemedicine carts were placed in COVID-19 isolation rooms to conserve personal protective equipment (PPE) and mitigate infectious risk for patients and providers by decreasing in-person exposures. Results: The teleisolation carts were used for 261 COVID-19 patient interactions from March to May 2020, with 79% of overall use in March. Our urban academic site (NYP/WCMC) had 173 of these cases, and the urban community hospital (NYP/LMH) had 88. This initiative increased provider/patient communication and attention to staff safety, improved palliative care and patient support services, lowered PPE consumption, and streamlined clinical workflows. The carts also increased patient comfort and reduced the psychological toll of isolation. Discussion: Deploying customized placement strategies in these two EDs maximized cart availability for isolation patients and demonstrates the utility of telemedicine in various ED settings. Conclusions: The successful introduction of this program in both academic and urban community hospitals suggests that widespread adoption of similar initiatives could improve safe ED evaluation of potentially infectious patients. In the longer term, our experience underscores the critical role of telemedicine in disaster preparedness planning, as building these capabilities in advance allows for the agile scaling needed to manage unforeseen catastrophic scenarios.


Subject(s)
COVID-19/diagnosis , Emergency Service, Hospital , Telemedicine , COVID-19/prevention & control , Humans , Infection Control , Patient Outcome Assessment
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