Innovation is the Ultimate Goal

Getting Ahead of the Pack with AI

Dr. John Halamka, president of the Mayo Clinic Platform, recently shared his insights on dealing with the evolving risks and opportunities related to artificial intelligence (AI) in two interviews published in MIT Sloan Management Review. In the interviews, Halamka offered advice on how to take the reins of AI initiatives when working with a large team and how to get ahead of the pack.

Starting Small and Moving Fast

At Mayo, Halamka’s approach is to start small and think big. With 85,000 employees, the team begins by asking each employee what problem they want to solve, and then they look at all the suggestions. They implement and measure the ideas, watching to see what works and what doesn’t. If an AI application looks promising, they step on the gas.

Exercising Caution

Halamka advises AI proponents to exercise caution in selecting initial use cases. He suggests going with lower-risk options and testing the technology to see where it works and where it doesn’t. Currently, genAI is not ready to handle a customer without a person nearby watching the results, as the output quality, consistency, and reliability are uncertain.

Seeking Use Cases Beyond Traditional Measures

When seeking use cases for AI, Halamka encourages leaders to look beyond traditional measures and think creatively. Values need to be aligned, and AI should be implemented to improve the quality of life for clinicians and patients.

Aligning Values and Implementing AI

Halamka shares an example of how AI can be implemented to improve clinicians’ quality of life. By using ambient listening technology, AI can help clinicians complete charts and forms more efficiently, allowing them to get home earlier and have more time for proactive work.

Navigating Hype and Reality

For business or team leaders, the greatest challenge is separating hype from reality. Halamka notes that the peak of the hype curve for many aspects of genAI has been reached, but people are realizing that AI may not solve every problem. It may not have the safety, equality, and reliability that is desired. Therefore, it is essential to navigate the tension between embracing innovation and being cautious not to over-rely on overhyped technology.

Conclusion

In conclusion, Dr. John Halamka’s approach to AI involves starting small, thinking big, and moving fast. He emphasizes the importance of exercising caution, seeking use cases beyond traditional measures, and aligning values. By navigating the hype and reality of AI, leaders can ensure that their organization stays ahead of the pack and achieves its innovation goals.

FAQs

* What is the key to taking the reins of AI initiatives when working with a large team?
+ Start small, think big, and move fast.
* How should AI proponents approach selecting initial use cases?
+ Exercise caution and go with lower-risk options.
* What is the main challenge for business or team leaders when it comes to AI?
+ Separating hype from reality and navigating the tension between embracing innovation and being cautious not to over-rely on overhyped technology.