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Since Argentina's government declared a national emergency to combat the COVID-19 pandemic with a lockdown status, it has produced consequences on the healthcare system. We aimed to quantify the effect on the Emergency Department (ED) visits at Hospital Italiano de Buenos Aires. Our electronic health data showed that ED in-person visits declined 46% during the COVID-19 pandemic, from an overall of 176,370 visits during 2019 to 95,421 visits during 2020. Simultaneously, there was a telehealth visits boom when mandatory quarantine began (March 20, 2020): from a median of 12 daily in February 2020 to a median of 338 daily in April 2020; reaching a maximum daily peak of 1,132 on March 26 2020. For a while, teleconsultations replaced ED visits. Then, when face-to-face visits began to increase, teleconsultations began to decrease slowly, as the phenomenon reversed.

Computerized Provider Order Entry (CPOE) systems may cause unintended consequences. This study aimed to describe the on-going system for CPOE order sets, and to explore an economic evaluation at the Emergency Department. First, we developed a costs dashboard which showed us the significant and excessive use of medical tests per consultation. We identified the top 10 most widely used and most expensive tests. Additionally we noticed that the labs seemed to continually increase. Then, we found that 27% of the consultations have at least one item of laboratory practice between January and February 2020, and this represents more than 80% of the consultation costs. Health care spending has reached epic proportions globally. We think that it is time to rethink effective strategies. Maybe it is time to deactivate/remove electronic order sets (EOSs) and the functionality to develop and create their own "private" order sets, in order to eliminate waste and inefficiencies.

Due to the COVID-19 pandemic, changes and improvements regarding the organization have been made to adapt quickly at the Emergency Department (ED) of the Hospital Italiano de Buenos Aires, Argentina. This article describes the design, implementation, and use of an electronic dashboard which provided monitoring of patients discharged home, during follow-up with telehealth. It was useful to access essential information to organize and coordinate professional work and patients' surveillance, providing highly relevant data in real-time as proxy variables for quality and safety during home isolation. The implemented tool innovated in the integration of technologies within a real context. The information management was crucial to optimize services and decision-making, as well to guarantee safety for healthcare workers and patients.

Since Argentina’s government declared a national emergency to combat the COVID-19 pandemic with a lockdown status, it has produced consequences on the healthcare system. We aimed to quantify the effect on the Emergency Department (ED) visits at Hospital Italiano de Buenos Aires. Our electronic health data showed that ED in-person visits declined 46% during the COVID-19 pandemic, from an overall of 176,370 visits during 2019 to 95,421 visits during 2020. Simultaneously, there was a telehealth visits boom when mandatory quarantine began (March 20, 2020): from a median of 12 daily in February 2020 to a median of 338 daily in April 2020; reaching a maximum daily peak of 1,132 on March 26 2020. For a while, teleconsultations replaced ED visits. Then, when face-to-face visits began to increase, teleconsultations began to decrease slowly, as the phenomenon reversed.

Due to the COVID-19 pandemic, changes and improvements regarding the organization have been made to adapt quickly at the Emergency Department (ED) of the Hospital Italiano de Buenos Aires, Argentina. This article describes the design, implementation, and use of an electronic dashboard which provided monitoring of patients discharged home, during follow-up with telehealth. It was useful to access essential information to organize and coordinate professional work and patients’ surveillance, providing highly relevant data in real-time as proxy variables for quality and safety during home isolation. The implemented tool innovated in the integration of technologies within a real context. The information management was crucial to optimize services and decision-making, as well to guarantee safety for healthcare workers and patients.

Computerized Provider Order Entry (CPOE) systems may cause unintended consequences. This study aimed to describe the on-going system for CPOE order sets, and to explore an economic evaluation at the Emergency Department. First, we developed a costs dashboard which showed us the significant and excessive use of medical tests per consultation. We identified the top 10 most widely used and most expensive tests. Additionally we noticed that the labs seemed to continually increase. Then, we found that 27% of the consultations have at least one item of laboratory practice between January and February 2020, and this represents more than 80% of the consultation costs. Health care spending has reached epic proportions globally. We think that it is time to rethink effective strategies. Maybe it is time to deactivate/remove electronic order sets (EOSs) and the functionality to develop and create their own “private” order sets, in order to eliminate waste and inefficiencies.

To explore perceptions, concerns and needs of healthcare professionals in an emergency department (ED) from Argentina.Participatory action research, coordinated and carried out by ED healthcare professionals, which included physicians, nurses and administrative staff who actively engaged in both data collection and analysis. Mixed methodologies were used: documentary analysis of complaints and written claims by patients, 10 individual interviews, and two reflective focus groups of 10 healthcare professionals (who differed in occupation, seniority and experience, including residents in training).The topics that emerged were work factors that lead to errors and threaten patient-centered clinical encounters: work overload and lack of time, the overuse of resources for defensive medicine purposes and technology that replaces physical contact. Healthcare professionals reported episodes of aggression by patients or their families, when long waits and structural insufficiencies (such as lack of beds, saturation of the waiting room, discomfort) threaten patience and tolerance. From these insights, improvements were generated in various areas of the ED.The identification of problems by the ED stakeholders l was a relevant approach that led to a process of collective management change, promoted reflection and raised awareness, allowing the identification of areas for improvement, design strategies and concrete feasible proposals.Explorar las percepciones, preocupaciones y necesidades del personal de salud en una Central de Emergencias de Adultos (CEA) de Argentina. Métodos: Investigación o acción participativa, coordinada y ejecutada por el propio personal de la CEA, que incluyó médicos/as, personal de enfermería y administrativo/as para participar activamente en la recolección de información y en el análisis. Se utilizaron metodologías mixtas: análisis documental de quejas y reclamaciones escritas por parte de los pacientes, 10 entrevistas individuales y 2 grupos focales reflexivos con 10 integrantes del personal de salud (de diferente cargo y antigüedad, y residentes en formación).Los tópicos emergentes fueron factores laborales que inducen al error y atentan contra el encuentro clínico centrado en la persona: la sobrecarga y la falta de tiempo, la sobreutilización de recursos por medicina defensiva y la tecnología que reemplaza el contacto físico. El personal de salud manifestó episodios de agresiones de pacientes o sus familiares, cuando las largas esperas y las insuficiencias estructurales (como falta de camas, saturación de sala de espera, incomodidad) atentan contra la paciencia y la tolerancia. A partir de esta reflexión se generaron mejoras en diversas áreas de la CEA.La identificación de las problemáticas realizadas por los propios actores de la CEA resultó un método pertinente para generar un proceso de cambio de gestión colectiva, promover la reflexión y concientizar, permitir identificar áreas de mejora, diseñar estrategias y propuestas concretas.

Introduction: To describe patients´ characteristics of confirmed COVID-19 with mild symptoms discharged home from the Emergency Department (ED) and followed using telemedicine, to estimate ED-readmission rates and hospitalization, and to explore associated factors with these clinical outcomes. Methods: We performed a retrospective cohort study in Hospital Italiano de Buenos Aires from June to August 2020, which included patients with mild COVID-19 symptoms, diagnosed with a positive result. Follow-up occurred from discharged until EDreadmission or 14 days. We estimate cumulative incidence using the Kaplan-Meier model and associated factors using logistic regression. Results: We included 1,239 patients, with a median of 41 years and 53.82% male. A total of 167 patients were readmitted to the ED within 14 days, with a global incidence rate of 13.08% (95%CI 11.32-15.08). Of these, 83 required hospitalization (median time from diagnosis 4.98 days), 5.98% was not related to any COVID19 complication, and five patients died. After adjustment by confounders (age ≥65, sex, diabetes, hypertension, former smoking, active smoking, fever, diarrhea, and oxygen saturation), we found significant associations: former smoking (adjusted OR 2.09, 95% CI 1.31- 3.34, p0 .002), fever (aOR 1.56, 95% CI 1.07-2.28, p0.002) and oxygen saturation (aOR 0.82, 95% CI 0.71-0.95, p0.009). Conclusion: The 13% rate of ED-readmission during 14 days of follow-up of mild symptomatic COVID-19 patients initially managed as outpatients with telehealth is highly significant in hospital management, quality performance, and patient safety. Introducción: Describir las características de los pacientes COVID-19 con síntomas leves dados de alta desde la Central de Emergencias de Adultos (CEA) y seguidos en forma ambulatoria mediante telemedicina. Estimar las tasas de re-consulta a CEA y hospitalización, y explorar los factores asociados a estos desenlaces. Métodos: Cohorte retrospectiva de Junio a Agosto 2020 en el Hospital Italiano de Buenos Aires, que incluyó personas COVID-19 con síntomas leves. Se siguieron durante 14 días hasta la ocurrencia de re-consulta en CEA y/o hospitalización. Se utilizaron modelos de Kaplan-Meier y regresión logística. Resultados: De un total de 1.239 pacientes, con una mediana de 41 años y 53,82% varones, 167 pacientes reconsultaron a CEA, con una tasa de incidencia global a los 14 días del 13,08% (IC del 95% 11,32 a 15,08). De estos, 83 requirieron hospitalización (media de 4,98 días), el 6% no se relaciona con COVID-19 y 5 pacientes fallecieron. Después del ajuste por factores confundidores (edad ≥65, sexo, diabetes, hipertensión, ex tabaquismo, tabaquismo activo, fiebre, diarrea y saturación de oxígeno), encontramos asociaciones significativas: tabaquismo anterior (ORa 2,09, IC95% 1,31-3,34, p0=0,002), fiebre (ORa 1,56, IC95% 1,07-2,28, p=0,002) y saturación de oxígeno (ORa 0,82, IC95% 0,71-0,95, p=0,009). Conclusión: La tasa del 13% de re-consulta a CEA durante 14 días de seguimiento resultó muy significativa para la gestión hospitalaria, la calidad del desempeño y la seguridad del paciente. Introdução: Descrever as características dos pacientes com COVID-19 com sintomas leves e alta do Centro de Emergência de Adultos (CEA) e acompanhados ambulatorialmente por telemedicina. Estime as taxas de nova consulta ao CEA e de hospitalização e explore os fatores associados a esses resultados. Métodos: Coorte retrospectiva de junho a agosto de 2020 no Hospital Italiano de Buenos Aires, que incluiu COVID-19 com sintomas leves. Eles foram acompanhados por 14 dias até a ocorrência de nova consulta no CEA e / ou internação. Modelos de Kaplan-Meier e regressão logística foram usados. Resultados: De um total de 1.239 pacientes, com mediana de 41 anos e 53,82% homens, 167 pacientes consultaram novamente o CEA, com uma taxa de incidência global em 14 dias de 13,08% (IC95% 11,32 a 15,08). Destes, 83 necessitaram de hospitalização (média de 4,98 dias), 6% não estavam relacionados com COVID-19 e 5 pacientes morreram. Após o ajuste para fatores de confusão (idade ≥65, sexo, diabetes, hipertensão, ex-tabagismo, tabagismo ativo, febre, diarreia e saturação de oxigênio), encontramos associações significativas: tabagismo prévio (ORa 2,09, IC 95% 1,31-3,34, p0 = 0,002), febre (ORa 1,56, IC 95% 1,07-2,28, p = 0,002) e saturação de oxigênio (ORa 0,82, IC 95% 0,71-0,95, p = 0,009). Conclusão: A taxa de 13% de re-consulta ao CEA durante 14 dias de seguimento foi muito significativa para a gestão hospitalar, qualidade do desempenho e segurança do paciente. Fil: Pedretti, Ana. Hospital Italiano. Departamento de Medicina.; Argentina Fil: Márquez Fosser, Santiago. McGill University; Canadá. Hospital Italiano; Argentina Fil: Pasquinelli, Rosario. Hospital Italiano. Departamento de Medicina.; Argentina Fil: Vallone, Marcelo. Hospital Italiano. Departamento de Medicina.; Argentina Fil: Plazzotta, Fernando. Hospital Italiano; Argentina Fil: Luna, Daniel Roberto. Hospital Italiano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; Argentina Fil: Martínez, Bernardo. Hospital Italiano. Departamento de Medicina.; Argentina Fil: Rodriguez, Paz. Hospital Italiano; Argentina Fil: Grande Ratti, María Florencia. Hospital Italiano; Argentina

Crowding in Emergency Departments (ED), results from the imbalance between the simultaneous demand for health care and the ability of the system to respond. The NEDOCS scale (National Emergency Department Crowding Scale) measures the degree of crowding in an ED. Aim: To describe ED Crowding characteristics, using the NEDOCS scale, in an Argentinean hospital. Material and Methods: A retrospective cohort study was conducted with all adult patient consultations between July 2013 and July 2014 at the ED of Hospital Italiano de Buenos Aires. We included all hours in the analysis period (365 days x 24 h = 8,760). The NEDOCS value was calculated for each hour using an automatic algorithm and was quantified in a six points score. Levels 4 (overcrowded), 5 (severely overcrowded) and 6 (dangerously overcrowded) were defined as overcrowding. Contour plots analysis was applied to identify patterns. Results: During the study period, 124,758 visits to the ED were registered. Overcrowding was present in 57.7% (5,055) of the analyzed hours. A predominance of scores between four and five was observed between 10:00 and 24:00 hours. The months with predominance of overcrowding were June, July and August (southern winter). Conclusions: The calculation of the NEDOCS score and the analysis of its temporal distribution are highly relevant to identify opportunities for improvement and to develop mechanisms to prevent the highest categories of overcrowding

Crowding in Emergency Departments (ED), results from the imbalance between the simultaneous demand for health care and the ability of the system to respond. The NEDOCS scale (National Emergency Department Crowding Scale) measures the degree of crowding in an ED.To describe ED Crowding characteristics, using the NEDOCS scale, in an Argentinean hospital.A retrospective cohort study was conducted with all adult patient consultations between July 2013 and July 2014 at the ED of Hospital Italiano de Buenos Aires. We included all hours in the analysis period (365 days x 24 h = 8,760). The NEDOCS value was calculated for each hour using an automatic algorithm and was quantified in a six points score. Levels 4 (overcrowded), 5 (severely overcrowded) and 6 (dangerously overcrowded) were defined as overcrowding. Contour plots analysis was applied to identify patterns.During the study period, 124,758 visits to the ED were registered. Overcrowding was present in 57.7% (5,055) of the analyzed hours. A predominance of scores between four and five was observed between 10:00 and 24:00 hours. The months with predominance of overcrowding were June, July and August (southern winter).The calculation of the NEDOCS score and the analysis of its temporal distribution are highly relevant to identify opportunities for improvement and to develop mechanisms to prevent the highest categories of overcrowding.