- IoT and AI for intelligent care environments
Today’s increasingly complex and interconnected world generates more data than ever before. This is absolutely disruptive and opens unprecedented opportunities to increase the well-being of people and communities.
While elderly people contribute to our society in humanity, experience, and knowledge, population ageing certainly represents a challenging paradigm. It spans the need to foster positive ageing, physical and psycho-emotional well-being, and ensure appropriate resources for caring and treating frail or unstable situations.
It is in the interest of all to extend quality of health for seniors as much as possible – tackling challenges to grant independence, high quality healthcare and services, personal safety, and peace of mind for people and their families.
Technology and information are the key assets for a whole new class of services directly impacting the quality of health of seniors, at home or in assisted living conditions.
Our technologies and know-how for intelligent care environments
Developed for and with Minebea Intec and MinebeaMitsumi Sensing Division, Paradox Engineering’s technologies for the managed care industry are revolutionary. They offer the tools necessary for
- Providing continuous monitoring to improve the overall quality of health for care recipients
- Developing an adaptive learning system, powered by artificial intelligence and machine learning, to understand medical events personalized for the individual
- Delivering instant notifications upon the detection of an irregular medical event
- Providing a non-invasive monitoring system that gives a balance between data collection, comfort, and privacy
- Building a pervasive, secure, and open technology platform
Thanks to our technologies, patients and seniors can live longer at home and enjoy superior quality of health, independence, and safety, with no changes to their daily life; or benefit from continued and reliable assistance during long-term medical treatments – all while receiving the benefits of fine-grained health data analytics without the need of invasive probes, body sensors, or invasive wearable medical equipment.
Hospitals, clinics, nursing and care houses can offer reliable and efficient remote patient monitoring, and extend their services and their inpatient capacity: allowing more effective monitoring at their facilities, supporting long-term treatments at home, and effectively responding to contactless caregiving challenges with continuous surveillance, prompt reactions and reliable assistance – as if it happened in person, but safer for all parties.
Professional caregivers will be supported and relieved in their daily work thanks to simplified monitoring. They will be able to set parameters for checking their routines and have the immediate detection of alerts.
Our intelligent care environment is a complete hardware and software system integrating multiple contact-less technologies, developed in collaboration with Minebea Intec and MinebeaMitsumi Sensing Division, featuring all Paradox Engineering’s knowledge and expertise in end-to-end technology platforms leveraging data collection, delivery and presentation as the key to unleash the power of digital information.
Where artificial intelligence and machine learning make the difference
Field analysis in managed care demonstrated the importance of knowing care recipients in order to limit false alarms and discern actual critical situations.
The ability of a computer, or a technology system, to perceive, learn from experience, solve problems, take decisions capabilities of the human mind – that is, Artificial Intelligence – makes a great difference in care giving and managed care.
A caregiver, be it a professional or a family member, is always able to add contextual information to data: every person is different and an event that means a danger for one can be seen under a different light in other cases.
Artificial Intelligence on board our system allows it to recognize situations, analyze behaviours, monitor long-term health evolution; above all, it builds a patient-specific, criticality-anticipating intelligence knowledge base that understands the situation happening, puts data into context and interpret it – as any family member would do.