AI and other advanced technologies can improve RPM’s accuracy and efficiency.

Computer vision technology can monitor the patients’s movements and detect any changes that may indicate a health issue. This can be done using cameras placed in the home to track movements and provide real-time data to the RPM dashboard.

The internet of things (IoT) technology can integrate different devices and sensors into the RPM system, allowing for real-time data collection and analysis. This can include wearable devices, sensors placed in the home, and other IoT-enabled devices.

Machine learning algorithms can be used to analyze the data collected by RPM technology and provide insights into the person’s health. This can include early detection of changes in health, predictions of potential health issues, and personalized recommendations for care and treatment.

The technology used in wearable devices is continuously improving, with new devices developed that offer more accurate and reliable data. In the future, these devices are expected to become even more advanced, with the potential to monitor a broader range of health metrics.

AI is expected to play an increasingly important role in RPM and home care, potentially improving data analysis and decision-making accuracy and efficiency. AI algorithms are expected to become more sophisticated and effective, allowing for better patient outcomes.

Virtual Reality (VR) and Augmented Reality (AR) technologies are expected to play a role in RPM and home care in the future. These technologies can be used to provide patients with immersive and interactive health and wellness experiences, as well as to provide remote care to patients who may be isolated or unable to leave their homes.