How the propulsion boost of AI for the management of chronic care are short

“Jane”, a 68 -year -old woman with diabetes, lives alone and has not always managed to control her blood sugar. It was not officially diagnosed with neuropathy because it missed its last annual examination of the feet. But she recently lost her balance and broke her right ankle, which landed in the emergency room. Consequently, she has been out of her feet for a few weeks, which put a grip on her daily walks. All these disturbances made him difficult to stay at the top of his diabetes.

Today, the fictitious Jane’s primary care provider could try to connect it with AI compatible diabetes management tools. These may include tools that trigger prescription collection reminders the first of the month or send confirmation for an upcoming appointment.

Although these types of “elbow” led by AI can help encourage commitment to certain contexts for specific populations most receptive to their content and their delivery channels, they fail.