Focus on MintT, a Belgian medical start-up with international ambitions

MintT (Medical Intelligence Technologies) has set itself the task of helping the elderly to age in the best possible conditions and to maintain their autonomy as much as possible. In particular, it has developed ISA, a fall detection and prevention solution, already used in hospitals, nursing homes and assisted living facilities in Belgium, France, Luxembourg and the Netherlands. With this solution, MintT puts artificial intelligence at the service of residents but also caregivers for the prevention of falls.

MintT was created in 2014 by Jérôme Laurent-Michel, nurse and pain manager, Thibaud Remacle, co-founder of Softkinetic in 2007, and Franck Casado, signal processing engineer. In 2018, Eric Krzeslo joined the team he knows well since he co-founded Softkinetic with Thibaud Remacle, this company specializing in 3D image sensors and motion recognition software was sold to the Sony group. in 2015. They worked on the development of ISA (Intelligent Sensing for Ageing) before starting in 2019, the installation of this solution in the patient rooms of Belgian hospitals and nursing homes.

Fundraising of €1.375 million in 2020 enabled the start-up to accelerate the development of its solution and continue its installation in nursing homes and hospitals in Belgium, France and Luxembourg.

ISA, intelligent sensor for fall detection and prevention

The nursing staff is overwhelmed whether in hospitals or in nursing homes, in Belgium, for example, there is one caregiver for 30 beds at night. ISA was designed to improve the quality of care but also to relieve caregivers.

Falls are more and more frequent with age, it is estimated that 70% of patients in these establishments fall at least once a year. These falls can have serious physical consequences such as fractures, which are more difficult to consolidate, but also psychological consequences due to the fear of relapse and lead to a faster loss of autonomy. The consequences are also financial for the establishment.

Eric Krzeslo, CEO of MintT, says:

“In an EHPAD of 80 beds, 400 falls occur on average annually, 2/3 of which are not documented or simply not known. Hospitalizations, rehabilitation, additional workload…: the consequences of falls are real. In addition to the serious physical and psychological consequences for people who have fallen, we estimate that the time spent by medical and paramedical personnel dealing with the consequences of falls in nursing homes, whether care, rehabilitation, psychological support or administrative time represents a cost of €150,000 per year. »

A regularly updated AI-based solution

MintT launched its R&D program in 2018. Since the first version of ISA, the development of new functionalities, the improvement of its ergonomics or the use of AI have made it possible to offer regular updates to the device.

The ISA system consists of a connected 3D sensor installed in the patient’s room, which relies on AI, analysis algorithms and cloud applications.

In June 2021, the company announced a partnership with Microsoft that will allow it to use Microsoft’s “Time of Flight” 3D sensor as well as the Azure cloud platform.

Eric Krzeslo said then:

“Microsoft’s Azure Depth platform… will allow us to strengthen our sustainable and repeatable business model for the direct benefit of our customers and their patients: teaching hospitals, clinics, nursing homes and assisted living facilities. »

The start-up now has unique expertise on the circumstances in which falls occur: no less than 500,000 hours of recording and thousands of cases feed the algorithm. The system can be used on a touchscreen and mobile app, or even integrated into existing systems.

MintT believes that “ this data is very useful for optimizing the management of healthcare budgets and improving the personalization of care. »

In addition, it provides training to caregivers during the installation of the ISA system on the prevention of falls.

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Focus on MintT, a Belgian medical start-up with international ambitions

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