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1.
Stud Health Technol Inform ; 290: 942-946, 2022 Jun 06.
Artículo en Inglés | MEDLINE | ID: mdl-35673158

RESUMEN

The patient waiting time to be transferred for hospitalization is the time that the patient waits between the decision to hospitalize and the actual admission to an inpatient hospital bed. One of the difficulties encountered in qualifying waiting time for inpatient bed is the inability of hospital information systems to measure it. Hospitals in France have a specialized bed allocation team. This team must manage the bed allocation problem between different hospital departments using phone communication to assign patients to the adapted service. This kind of communication represents a lengthy additional workload in which effectiveness is uncertain. This paper presents a new approach to automate bed management in downstream service. For that, we have implemented algorithms based on artificial intelligent integrated in an inpatient web platform using IoT-Beacons, which is implemented to improve and facilitate the exchange of availability information of downstream beds within the Lille university hospital center (LUHC).


Asunto(s)
Ocupación de Camas , Pacientes Internos , Automatización , Servicio de Urgencia en Hospital , Hospitales Universitarios , Humanos , Admisión del Paciente , Listas de Espera
2.
Stud Health Technol Inform ; 290: 947-951, 2022 Jun 06.
Artículo en Inglés | MEDLINE | ID: mdl-35673159

RESUMEN

Emergency department (ED) overcrowding is an ongoing problem worldwide. Scoring systems are available for the detection of this problem. This study aims to combine a model that allows the detection and management of overcrowding. Therefore, it is crucial to implement a system that can reason model, rank ED resources and ED performance indicators based on environmental factors. Thus, we propose in this paper a new domain ontology (EDOMO) based on a new overcrowding estimation score (OES) to detect critical situations, specify the level of overcrowding and propose solutions to deal with these situations. Our approach is based on a real database created during more than four years from the Lille University Hospital Center (LUHC) in France. The resulting ontology is capable of modeling complete domain knowledge to enable semantic reasoning based on SWRL rules. The evaluation results show that the EDOMO is complete that can enhance the functioning of the ED.


Asunto(s)
Aglomeración , Servicio de Urgencia en Hospital , Francia , Hospitales Universitarios , Humanos
3.
EuroIntervention ; 8 Suppl P: P36-43, 2012 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-22917788

RESUMEN

Acute initial management of patients with acute coronary syndrome (ACS) is based on a precise clinical and electrocardiographic diagnosis. Initial risk stratification in the pre-hospital phase is the key step. The last step, adequate patient routing, is decided based on emergency level and reperfusion strategies, considered right from the pre-hospital phase. The management of a patient with an ACS requires close collaboration between emergency physicians and cardiologists, according to simplified protocols for easier access to catheterisation. The next challenges for the pre-hospital management of ACS are based on: - precise knowledge of new antiplatelet and anticoagulant drugs by the emergency physicians, in order to adjust their prescriptions to the patient profile; - developing co-operation between hospitals, according to regional specificities (geographic considerations and distribution of PCI centres) in order to reduce access time to catheterisation rooms; - organising the healthcare network, where the SAMU has an essential role in coordinating the different medical actors; - regular analysis of the evolution of our professional practices, considering, e.g., the guidelines of the "HAS" (French official healthcare guidelines institute);- integrating pre-hospital medicine in health prevention programmes; - improving our understanding of the population's presentations of coronary artery disease, in order to encourage the patients and their families to call the EMS as soon as possible. The challenge of the emergency physician is to adapt the strategies to the patient's needs.


Asunto(s)
Síndrome Coronario Agudo/terapia , Ambulancias , Unidades de Cuidados Coronarios , Prestación Integrada de Atención de Salud , Servicios Médicos de Urgencia , Infarto del Miocardio/terapia , Reperfusión Miocárdica , Síndrome Coronario Agudo/diagnóstico , Ambulancias/normas , Anticoagulantes/uso terapéutico , Unidades de Cuidados Coronarios/normas , Prestación Integrada de Atención de Salud/normas , Electrocardiografía , Servicios Médicos de Urgencia/normas , Humanos , Infarto del Miocardio/diagnóstico , Reperfusión Miocárdica/métodos , Reperfusión Miocárdica/normas , Selección de Paciente , Inhibidores de Agregación Plaquetaria/uso terapéutico , Guías de Práctica Clínica como Asunto , Valor Predictivo de las Pruebas , Medición de Riesgo , Factores de Riesgo , Factores de Tiempo , Tiempo de Tratamiento , Resultado del Tratamiento
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