Creating Proactive Health Care Practices Through Data
AI in Proactive Health Care
The integration of wearable biometrics and population data sets isn’t the only step forward LaJoie envisions. He sees AI playing a big role in reshaping habits.
“I see AI in a support role – linking the user to different sources that can help improve exercise or diet.” So, for example, AI could help a patron at a restaurant see menus from nearby restaurants with meals with similar calorie counts to that chosen, even order that meal and have it delivered automatically.
The same kind of AI could integrate with wearables with other IoT, he said.
Apps are available for patients who are diabetic that can link to insulin pumps. Devices can alert an individual that his or her glucose level is dropping, he said. Other connected devices can provide alerts on low insulin levels, then recommend you certain food intake to combat low levels. With AI, some devices may even make meal or restaurant suggestions or alert individuals to foods in a smart fridge that can help combat the problem LaJoie said.
For LaJoie, AI and connected devices can help create healthy behaviors – the essence of proactive health care.
“The more barriers we can remove to helping people engage in healthy activities, the better,” Lajoie said. “Choice architecture could link with AI to create these new decision support systems that facilitate healthy behaviors. That’s a gold mine for the future.”