Modelling the backlog of COVID-19 cases for a surgical group.
Can J Surg
; 63(5): E391-E392, 2020 08 28.
Artículo
en Inglés
| MEDLINE | ID: covidwho-732983
ABSTRACT
Summary:
The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on health care delivery and has resulted in a backlog of patients needing surgery. There is a lack of experience and guidance in dealing with this increased demand on an already overburdened health care system. We created an online tool (www.covidbacklog.com) that helps surgeons explore how resource allocation within their group will affect wait times for patients. After inputting a handful of readily available variables, the computer program generates a forecast of how long it will take to see the backlog of patients. This information could be used to allow surgical groups to run simulations to explore different resource allocation strategies in order to help prevent downstream consequences of delayed patient care.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Cirugía General
/
Infecciones por Coronavirus
/
Transmisión de Enfermedad Infecciosa
/
Atención a la Salud
/
Cirujanos
/
Betacoronavirus
Tipo de estudio:
Estudio experimental
/
Estudio observacional
/
Estudio pronóstico
/
Ensayo controlado aleatorizado
Límite:
Humanos
Idioma:
Inglés
Revista:
Can J Surg
Año:
2020
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS