The main goal of asthma treatment is to reach and maintain complete control. Adherence to the prescribed therapy is a key factor to achive this.

During the digital transformation of the 21 century, the decision process is mainly dependent on the availability and the quality of data that underpin it. Appropriate data integration can contribute to the quality of the decision-making process. Such measures work well in healthcare, where decision-makers can face many challenges and barriers.

Digitization is currently transforming all areas of human behavior through social life and basic needs such as health issues. With the increasingly noticeable impact of modern technology, we can now observe the digital revolution in healthcare.

Remote patient monitoring requires real-time collection of health data from patients. The increasing number of people suffering from chronic diseases may imply a greater burden on healthcare. As a result, various solutions are emerging to both make doctor's jobs easier and enable better disease management for patients.

Read more about the use of FindAir ONE in a pilot study to test and innovate the Luchtbrug platform developed by Radboud.

Let's meet and talk at Arab Health 2021!

Learn about FindAir cooperation with Asthma UK Centre for Applied Research.

The purpose of using predictive analytics is to alert physicians about the occurrence of a dangerous event, or even before it, to prevent health problems. The existence of artificial intelligence (AI) and the Internet of Things (IoT) allows us to use algorithms that work with historical and real-time data to make meaningful predictions.

Learn about FindAir cooperation with University College Leuven Limburg in project "ASTMApping"

The main goal of asthma treatment is to reach and maintain complete control. Adherence to the prescribed therapy is a key factor to achive this.

The Internet of medical things is the connected infrastructure of medical applications, and health systems that is rapidly changing the role of medical technology in healthcare. IoMT enables healthcare organizations to improve clinical management, workflow and enhance patient care from remote locations.

By analyzing massive amounts of patient health data, physicians and clinicians can focus on hard-to-diagnose and rare diseases. The general advantage of using big data in healthcare is that it will substantially improve patient outcomes.