AI in Healthcare: Independent Living for Consumers Trends

Artificial intelligence applied to healthcare includes a collection of technologies that enable machines to sense, interpret, act and learn. AI implementations for digital health can be relatively simple when they are focused largely on personal patient engagement, or vastly complex when working with big data sets, highly specialized diagnostics, and the workflows of multiple highly complicated organizations. The addition of Internet of Things sensor data from connected health and related devices adds a new layer of critical, real-time contextual data. The uses cases for IoT sensor-informed healthcare applications can include home security and access control for vulnerable loved ones, remote patient monitoring of vitals, activity monitoring and anomaly detection, safety of the home and mobile environments, environmental monitoring for chronic conditions, and more. These use cases provide opportunities for the application of artificial intelligence and machine learning to transform healthcare functions into data-driven services that can improve outcomes and deliver healthcare more efficiently.