Digitalization has the potential to transform healthcare in numerous ways, including improving the diagnosis and treatment of sleep disorders. According to the American Sleep Apnea Association, an estimated 40 million people in the United States alone suffer from sleep disorders, while the European Sleep Apnea Association estimates that 25 million people in Europe have sleep disorders, with many remaining undiagnosed.
The use of AI-supported sleep diagnostic solutions, such as those offered by Amatis, can help improve the accuracy and efficiency of sleep disorder diagnoses. By leveraging advanced technologies, including AI and machine learning algorithms, these solutions can analyze sleep patterns and identify potential sleep disorders, even in cases where patients are not yet experiencing severe symptoms.
For example, Amatis offers an AI-supported sleep apnea screening tool that uses ECG signals and HRV analysis to identify potential cases of sleep apnea. This screening tool is designed to be used in a home-based setting, allowing patients to wear a portable Ecg Holter device that records ECG signals and other relevant data. By identifying potential cases of sleep apnea early on, patients can receive treatment before their condition worsens.
Despite the potential benefits of digitalization in sleep disorder diagnosis, there is still a significant gap between the number of people with sleep disorders and those who have been diagnosed. As healthcare providers and patients become more aware of the benefits of digital sleep diagnostic solutions, it is hoped that more individuals will seek the diagnosis and treatment they need to improve their quality of life and overall health.
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