ABSTRACT
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Subject(s)
Humans , Clinical Clerkship/organization & administration , Internship and Residency/organization & administration , Coronavirus Infections/prevention & control , Emergency Responders/education , Pandemics/prevention & control , Safety Management/methods , Bed Conversion/trends , Health Facility Planning/trends , Surge Capacity/organization & administrationABSTRACT
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Humans , Coronavirus Infections/prevention & control , Communicable Disease Control/organization & administration , Telemedicine/trends , eHealth Policies , Health Facility Planning/trends , Electronic Health Records/trendsABSTRACT
No disponible
Subject(s)
Humans , Coronavirus Infections/epidemiology , Bed Conversion/trends , Health Facility Planning/trends , Pandemics , Surge Capacity/trends , Internal Medicine/trends , Hospital Records/statistics & numerical dataABSTRACT
No disponible
Subject(s)
Humans , Health Facility Planning/trends , Neonatology/organization & administration , Coronavirus Infections/epidemiology , Neonatal Screening/methods , Infectious Disease Transmission, Vertical/prevention & control , Health Priorities/organization & administration , Internship and Residency/organization & administration , Postpartum Period , Infant, Newborn, Diseases/diagnosisABSTRACT
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Subject(s)
Humans , Grief , Coronavirus Infections/psychology , Attitude to Death , Mental Disorders/epidemiology , Health Facility Planning/trends , Pandemics/statistics & numerical data , Health Personnel/psychology , Social Problems/trends , Health Status DisparitiesABSTRACT
No disponible
Subject(s)
Humans , Coronavirus Infections/epidemiology , Rehabilitation Centers/organization & administration , Withholding Treatment/trends , Health Priorities/trends , Communicable Disease Control/trends , Health Facility Planning/trends , Pandemics/statistics & numerical dataABSTRACT
No disponible
Subject(s)
Humans , Coronavirus Infections/epidemiology , Rehabilitation Centers/organization & administration , Total Quality Management/organization & administration , Health Priorities/trends , Health Facility Planning/trends , Pandemics/statistics & numerical data , Health Personnel/trendsABSTRACT
La pandemia de COVID-19 y la consecuente declaración del estado de alarma crearon una obligada modificación dentro del ámbito de la sanidad en su totalidad y los servicios de radiodiagnóstico no quedaron exentos. En nuestro servicio conllevó una reestructuración inmediata de la dinámica de trabajo del colectivo de técnicos superiores en imagen para el diagnóstico (TSID), que tuvo un papel destacado en la primera línea de batalla. Para lograr satisfacer las nuevas necesidades, se tuvo que formar al personal, distribuirlo en diferentes áreas y grupos de trabajo y adoptar nuevas medidas de protección y cuidado en el ámbito laboral. También se adecuaron los diferentes circuitos de atención asistencial (COVID-19 vs. no COVID-19), incorporando tecnología, adaptando los recursos existentes al nuevo escenario y creando un circuito rápido de diagnóstico COVID-19. Así mismo, se detallan las recomendaciones que se han de tener en cuenta sobre la estrategia organizativa dentro del servicio de radiología ante un posible rebrote de la pandemia
The COVID-19 pandemic and the consequent declaration of a state of alarm have required changes throughout the entire health system and diagnostic imaging departments are no exception. In our department, these circumstances led to an immediate restructuring of the working dynamics of our group of imaging technologists that had an important role in the front lines of the battle. To ensure that these new needs were met, the staff had to be trained and distributed into different areas and working groups; moreover, new protective measures and protocols had to be adopted in the working environment. We also defined different care circuits for patients with COVID-19 and those without COVID-19, incorporating new technologies, adapting existing resources to the new scenario, and creating a circuit for the rapid diagnosis of COVID-19. This paper also provides detailed recommendations for organizing radiology departments in the case of new outbreaks of COVID-19
Subject(s)
Humans , Radiology Department, Hospital/organization & administration , Coronavirus Infections/epidemiology , Technology, Radiologic/organization & administration , Severe Acute Respiratory Syndrome/diagnostic imaging , Health Facility Planning/trends , Communicable Disease Control/organization & administration , Health Personnel/organization & administration , Pandemics/statistics & numerical data , Universal Precautions/methodsABSTRACT
El objetivo del presente trabajo es mostrar la experiencia en una unidad de radiología intervencionista de un hospital de nuestro país muy afectado por la pandemia COVID-19. Para ello se ha realizado un estudio observacional prospectivo de una serie de casos consecutivos (n=20) de pacientes COVID-19, sometidos a 21 procedimientos intervencionistas, durante el periodo de 2 meses de estudio (13 marzo -11 mayo de 2020). Se exponen las medidas de reorganización del trabajo, medidas de protección; así como la repercusión de la situación en la actividad de la unidad total y por fases. La pandemia COVID-19ha supuesto un reto para el trabajo diario en nuestra unidad, pero siguiendo nuestra propia experiencia y las recomendaciones de SERVEI y SERAM, nos hemos adaptado a la situación de forma exitosa. Se ha observado una disminución de la actividad de tan sólo un 22% sobre el mismo periodo del año 2019
This paper aims to describe our experience in an interventional radiology unit in a hospital in Spain that was severely affected by the COVID-19 pandemic. To this end, we did a prospective observational study of 20 consecutive patients with COVID-19 who underwent 21 interventional radiology procedures between March 13, 2020 and May 11, 2020. We describe the measures taken to reorganize the work and protective measures, as well as the repercussions of the situation on our unit's overall activity and activity in different phases. The COVID-19 pandemic has represented a challenge in our daily work, but learning from our own experience and the recommendations of the Spanish radiological societies (SERVEI and SERAM) has enabled us to adapt successfully. Our activity dropped only 22% compared to the same period in 2019
Subject(s)
Humans , Male , Female , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , Radiology Department, Hospital/organization & administration , Coronavirus Infections/epidemiology , Health Facility Planning/organization & administration , Radiology, Interventional/organization & administration , Health Facility Planning/trends , Communicable Disease Control/organization & administration , Pandemics/statistics & numerical data , Universal Precautions/methodsABSTRACT
Hurricane Irma made landfall in Southwest Florida on September 10, 2017, causing significant property damage, flooding, and power outages that lasted days to weeks during high heat and humidity. This created significant challenges for residents and businesses, as well as office-based surgical facilities in the area. Preparations in advance of hurricanes and other natural disasters for businesses should focus on staff, surroundings, space, systems, structure, and service. In the aftermath of a hurricane, assessment of the extent of the damage and the ability to perform restoration and mold remediation postflooding are the immediate goals. With the return of utility services, additional cleanup and assessment of equipment, medications, and sterile supplies with subsequent repair/recertification, replacement and reprocessing, as required, are necessary to bring operations back to normal.
Subject(s)
Cyclonic Storms/statistics & numerical data , Disaster Planning/methods , Health Facility Planning/methods , Disaster Planning/trends , Florida , Health Facility Planning/trends , HumansSubject(s)
Air Pollutants , Climate Change/statistics & numerical data , Health Facility Planning/organization & administration , Hospitals , Incineration/statistics & numerical data , Medical Waste/statistics & numerical data , Environmental Monitoring , Health Facility Planning/trends , Health Services Research , HumansABSTRACT
There are approximately 5,700 hospitals in the United States, 3,000-4,000 that are antiquated or obsolescing. To meet increased service demands, remain financially viable; meet needs to upgrade aging infrastructure and incorporate medical and technology advancements, healthcare facilities are in a perpetual state of construction. Outbreaks of nosocomial infections have historically been documented in association with construction and renovation actives within health care facilities. For most healthy individuals, environmental exposures to etiological agents, results in no adverse effects but in immune-compromised patient, they are left susceptible to inadvertent exposures during construction to opportunistic bacteria, fungi and viruses. Evidence scientifically linking construction work and nosocomial infections as well as the efficacy and clinical relevance of infection control precautions is somewhat lacking but the empirical evidence and recommendations to support protective measures is steadily growing. Opening a "Pandora's Box" during construction can unleash unintended consequences therefore; it is imperative that a thorough, multidisciplinary approach towards an infection control plan is put clearly and firmly in place allowing health care construction projects to move forward with confidence that patient safety is the first specification.
Subject(s)
Cross Infection/prevention & control , Evidence-Based Medicine , Facility Design and Construction , Health Facilities , Infection Control/methods , Cross Infection/epidemiology , Education, Nonprofessional/trends , Facility Design and Construction/standards , Facility Design and Construction/trends , Guidelines as Topic , Health Facilities/standards , Health Facilities/trends , Health Facility Planning/trends , Hospital Design and Construction/standards , Hospital Design and Construction/trends , Humans , Infection Control/trends , Risk , United States/epidemiology , WorkforceSubject(s)
Accountable Care Organizations/standards , Chronic Disease/therapy , Health Facility Planning/organization & administration , Health Promotion/standards , Outpatient Clinics, Hospital/trends , Accountable Care Organizations/organization & administration , Chronic Disease/prevention & control , Health Facility Planning/standards , Health Facility Planning/trends , Health Promotion/trends , Humans , Patient Protection and Affordable Care Act/standards , United StatesABSTRACT
Objetivos: Analizar la frecuencia y la distribución en la serie temporal de los ingresos hospitalarios por lesiones causadas en accidente de tráfico. Facilitar la planificación sanitaria mediante la predicción, para los próximos años, de la evolución de los ingresos. Ajustar la asignación de recursos a las previsiones, buscando la máxima eficiencia y equidad. Material y Métodos: Se incluyen los 748 ingresos registrados en el Hospital 12 de Octubre entre enero del 2004 y diciembre del 2008 con lesiones traumáticas graves (ISS > 9), causadas por accidente de tráfico o atropello por vehículo a motor. Se ha desarrollado un modelo matemático mediante técnicas de previsión y predicción con estacionalidad para facilitar un pronóstico de casos futuros. Resultados: No se ha alcanzado un ajuste aceptable con ninguno de los modelos matemáticos aplicados. Las dos actuaciones analizadas: nueva Ley de Seguridad Vial; y apertura simultánea de 8 nuevos hospitales en la Comunidad de Madrid, no parecen haber influido de forma estadísticamente significativa en el número de ingresos. Conclusiones: A partir de los resultados estadísticos obtenidos no parece posible realizar una predicción fiable sobre la evolución futura de la demanda (AU)
Objectives: Objectives: To analyze the frequency and distribution in the time series of hospital admissions for injuries in traffic accidents. Facilitate health planning by predicting, for the coming years, changes in admissions. Adjust the allocation of resources to the forecasts, seeking maximum efficiency and equity. Material and Methods: From January 2004 to December 2008, 748 admissions with severe traumatic injuries (ISS> 9) caused by traffic accident, or being hit by motor vehicle, were recorded in the Hospital 12 de Octubre. We have developed a mathematical model using techniques of forecasting and seasonal forecasting to provide a forecast of future cases. Results: We have not achieved an acceptable fit with any of the mathematical models applied. The two performances analyzed: new Road Safety Law, and simultaneous opening of 8 new hospitals in the Madrid region, seem not to have a statistically significant influence on the number of admissions. Conclusions: From the statistical results obtained, it didn´t seem possible to make a reliable prediction on the future evolution of demand (AU)