Descripción del proyecto
El futuro de la supervisión de pacientes en la UCI
En las unidades de cuidados intensivos (UCI o ICU, por sus siglas en inglés), la proliferación de productos sanitarios ha dado lugar a un entorno complejo y exigente para los profesionales sanitarios. La presión sobre los intensivistas se ve agravada por la escasez de personal sanitario. Teniendo esto en cuenta, en el proyecto SASICU, financiado con fondos europeos, se pretende introducir la interoperabilidad normalizada y bidireccional de los productos sanitarios. De este modo, se prevé reducir el número de avisos en torno a las camas de los pacientes y distribuirlos de forma segura entre los profesionales sanitarios adecuados, lo que resultará en un entorno más tranquilo. Además, el equipo del proyecto desarrollará algoritmos para analizar las causas subyacentes y la urgencia de los avisos, lo que facilitará la toma de decisiones para una actuación inmediata. En conjunto, este proyecto prepara el camino para una ayuda a la decisión clínica más fiable y personalizada.
Objetivo
Over the decades, technical developments have resulted in a variety of different medical devices that dominate today's intensive care work environment. Beside all the clinical capabilities and benefits these technologies provide, devices also contribute to an increasing complexity in care. Using technology stresses the cognitive strain put on healthcare providers in critical care. Combined with a big lack of clinical staff the complexity leads to an enormous workload.
To tackle these challenges the consortium consisting of four Universities and their clinics and four industrial partners plans to demonstrate the benefits in clinical outcomes and workflow efficiency through standardized, bi-directional interoperability of medical devices based on the new standard ISO/IEEE11073 SDC. During the project SDC solutions will be provided for different use-cases to reduce the quantity of alarms around the patient bed and securely distribute them to the responsible caregiver, allowing to keep the alarms silent at the bedside. Furthermore, algorithms shall be provided to analyse the root cause and urgency of an alarm. The latter is supposed to support in decision making whether immediate action is necessary. The IT infrastructure and algorithms will be evaluated in four different clinics. In addition, AI-based pattern recognition will used for early detection of patient deterioration in order to prevent negative long-term outcomes and prolonged ICU stay.
Key deliverable will be a Targeted Alarm System (TAS) including several IT tools on the industrial side and study reports on the effectiveness of the TAS from the clinical partners. Realising this, a standardised IT-solution for monitoring ICU patients should be the next step after the project. On the long run it is intended to reduce alarms at ICUs significantly, decrease stress for patients and care takers and as result enhance the quality of intensive care. New technologies for data analytics will be developed and clinically tested to enable more reliable and individualised clinical decision support. Positive results and developments in this ICU-centred project may also be transferred to other areas in the patient care workflow.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.2.1 - Health Main Programme
- HORIZON.2.1.7 - Innovative Health Initiative
Convocatoria de propuestas
HORIZON-JU-IHI-2022-03-single-stage
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinador
23558 Lubeck
Alemania