Assistive Medical Robotics for Very Early Mobilization of Critical Care Patients

Información del proyecto

VEMOtion

Identificador del acuerdo de subvención: 190171705

DOI

10.3030/190171705

Proyecto cerrado

Fecha de la firma de la CE 19 Diciembre 2022

Fecha de inicio 1 Enero 2023

Fecha de finalización 31 Diciembre 2024

Financiado con arreglo a

• The European Innovation Council (EIC)

Coste total

€ 3 557 625,00

Aportación de la UE

€ 2 490 337,50

Coordinado por

REACTIVE ROBOTICS GMBH
Germany

Periodic Reporting for period 1 - VEMOtion (Assistive Medical Robotics for Very Early Mobilization of Critical Care Patients)

Período documentado: 2023-01-01 hasta 2023-12-31

Resumen del contexto y de los objetivos generales del proyecto

Early mobilisation in the ICU is a highly effective tool in patient rehabilitation, clinically proven and acknowledged by major international medical bodies. Despite the clear financial advantages for healthcare systems and health benefits for patients, it is
currently performed with only 25% of ICU patients due to lack of resources and hazardous nature of the manual procedure. Reactive Robotics has developed VEMOTION, the world’s first AI-driven robotic assistance system for early mobilisation in ICUs. VEMOTION enables the clinically proven benefits of early mobilisation to be delivered safely to all ICU patients, accelerating recovery by 20%, reducing treatment costs, increasing ICU capacity by 27%, and improving patient outcomes. Introduction creates a >€5bn market for ICU robotics. The EIC project (€2.5M grant, €15M equity) delivers crucial product development and large-scale clinical trials to validate the clinical/business case and accelerate scale-up.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

The project focused on the development of a 2nd generation system with the goal of enhancing usability, expanding AI and digitalisation features, and reducing Costs of Goods sold (CoGs).

Significant achievements of the project include the successful certification for bariatric patients, the optimization of patient adapters which connect the patient with the robot: for instance, a one-size-fits-all Leg Adapter was already successful introduced into the market.

Further key activities comprise the successful development of prototypes for a new embedded control system and a hospital bed platforms that will optimise the interaction between the bed and robot and enable functions that are in high demand on the market. Moreover, a prototype of a revised graphical user interface that facilitates time-optimized workflows has been developed. Additionally, the project achieved an upgrade of the underlying data warehouse, incorporating analysis tools for service and maintenance purposes. These accomplishments collectively contribute to the overall improvement of the system's performance and user experience.

To strengthen the clinical data case, two suitable KOLs were identified in two different German hospitals. With the first partner (patient population: pulmonological), a contract for a small clinical trial was signed, and the study protocol was created and submitted. The ramp-in phase has already started. With the second partner (patient population: neurological), a first draft of the study protocol was defined, and administrative topics are now being finalized.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

The introduction of the one-size-fits-all patient leg adapter marks a significant leap beyond the current state-of-the-art in mobilisation robotics. This innovative adapter, meticulously engineered to accommodate a diverse range of patient legs, including those of bariatric individuals, sets a new standard for versatility and ease of use. In contrast to the multitude of size-specific solutions employed by our first-generation systems and competitor devices, this adaptation represents a clear improvement, streamlining the patient experience and enhancing overall efficiency.