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.

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.

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.

Digital transformation leads to the streamlining of many processes. In healthcare, digital health solutions can perform complex and repetitive activities that otherwise would be placed on physicians and medical staff.

Many of the applications powering command centers rely on artificial intelligence and machine learning, but most of the data analysis and decision-making is done by employees who, thanks to technology, can see the picture of their facility in a way that was never possible before.

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