Why AI Healthcare Not Realized Yet?

It’s really about leaders understanding the capabilities of AI today, and then looking at how to apply it to add value. The value of AI doesn't come from the technology; it comes from changing clinical workflows and operational processes. AI adds value in only one or two ways: It adds value by automating the way work is done or augmenting the way work is done. Automation means highly repetitive work done by humans today is going to be done by a smart machine today or in the future. But the biggest part of healthcare today is augmentation…the idea of augmentation is, ‘How do we bring AI in behind the humans to make them better at something they care about?’

Senior leaders in the healthcare space don’t necessarily need to understand how AI works — they just need to grasp the power of AI and how it can help them provide personalized care for people more efficiently and compassionately.

For example, the government of Singapore is currently making use of machine learning and deep algorithms to help manage the health of people who are pre-diabetic. The government has mined the data of approximately five million citizens to identify people who are pre-diabetic, and then recruited people to volunteer to be part of a program where they receive personalized daily nudges about what they can do to take charge of their health and lower their blood sugar. This highly personalized advice has been highly successful at slowing participants’ progression from pre-diabetic to diabetic.