To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

Remote Patient Monitoring (RPM) uses digital tools like wearables and sensors to track patient health data outside the clinic. Studies show RPM can reduce hospitalizations and ER visits, especially ...

As the aging population continues to grow – projected to be more than 20% of the U.S. by 2030 – remote patient monitoring is becoming an increasingly important healthcare option. A recent industry ...

Experts emphasize that remote patient monitoring (RPM) is most effective when supported by structured care teams and workflows, with artificial intelligence–enabled tools helping to interpret data and ...

The American Medical Association’s (AMA's) CPT Editorial Panel has removed the requirement for a patient to transmit 16 days’ worth of data for providers to bill remote physiologic monitoring codes, ...

Chetan Sasidhar Ravi’s IoT-driven healthcare system uses intelligent sensors and cloud analytics to enable proactive, ...

Remote patient monitoring is here to stay. Telemonitoring claims for Medicare beneficiaries increased sixfold between 2018 and 2021, in part due to relaxed COVID-19 pandemic rules. By one estimate, ...

Ceribell announced today that the FDA granted breakthrough device designation for its large vessel occlusion (LVO) stroke ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Once slated to either strike out on their own or be the subject of a potential sale, Medtronic’s patient monitoring and respiratory intervention divisions will see new life after merging into a single ...