Since the start of the Millennium, technology has been increasingly part of our everyday life. While less than 7% of the world was online in 2000, today over half the global population has access to the Internet. Similar trends apply to cellphone use, that passed from 740 million subscriptions worldwide in the early 2000s to 8 billion in 2020, meaning there are now more cellphones in the world than people.
As pointed out by World Economic Forum, technology accelerated innovation in a variety of domains, and had an astonishing impact on healthcare, with unprecedented progress in disease and treatment research (the rapid vaccine development we have seen for Covid-19 would have been inconceivable a few years ago), in surgery and medical care delivery.
Telehealth has been on the rise in recent years, and new systems for remote patient monitoring and virtual assistance are being used. Some of the most popular solutions require patients to have wearables to monitor key health parameters and share data in near real-time with control systems or medical professionals. That’s an effective way to manage chronic conditions such as diabetes with continuous glucose monitors, or prevent heart failures by tracking blood pressure, pulse rate, and perfusion index.
Other remote patient monitoring platforms leverage contactless technologies to provide non-invasive surveillance and balance accurate data collection with user comfort. This is the goal of the technology Paradox Engineering is developing for and with Minebea Intec and MinebeaMitsumi Sensing Division: we are working on an IoT-based platform for patients and seniors to enjoy high quality of health when treated in hospitals, care houses, or at home, receiving continued assistance and taking advantage of fine-grained health data analytics without the need of invasive probes, body sensors, or wearable medical equipment.
Our care environment will feature a complete hardware and software solution, and provide clinics, nursing houses, and healthcare professionals with an end-to-end technology platform leveraging data collection, delivery and presentation. Our care environment will be intelligent, as we are developing an adaptive learning system, powered by artificial intelligence and machine learning, to detect and analyze irregular medical events, understand individual medical history, and support information-driven medical decisions.
The past two decades have seen technology advancing medical research. Now we are contributing to unleash the power of digital information for a more reliable and intelligent medical care delivery.