The AI quality improvement loop

Sick care AI is the new coin of the realm, but it needs to add value and have a positive impact on stakeholder production, performance, people, and profit.

Columbia Business School’s Bruce Kogut and two colleagues—Harvard Business School’s Fabrizio Dell’Acqua and Yeshiva University’s Patryk Perkowski—studied the impact of artificial intelligence on team functioning. They asked 110 two-person teams to play 12 rounds of Super Mario Party’s Dash and Dine, a video game in which players must collect ingredients for a recipe. After the first six rounds of play, one member of some teams was replaced by an intelligent agent. Over the next six rounds, those teams gathered, on average, three fewer ingredients than teams that continued as originally configured. The conclusion: When AI teammates come on board, performance drops.

If you are planning to increase dissemination and implementation of AI in your organization, you should define your stakeholders or missions e.g. education, research, patient care, and business functions and define your objectives, SMART (Specific, Measurable, Achievable, Relevant, and Time)ly key results, and initiatives to accomplish them, including how to overcome the barriers to adoption, penetration and scale.

Or you might want to achieve DUMB goals:

• Dream-Driven: If you could snap your fingers and your greatest dream were to come true, that’s the beginning of a DUMB goal. Think of these types of goals as 5-year or 10-year goals.
• Uplifting: DUMB goals should inspire you and make you feel good about yourself.
• Method-Driven: DUMB goals should have a clear plan of action.
• Behavior Triggered: DUMB goals should be tied to your daily habits and routines. DUMB goals are also described as Doable, Understandable, Meaningful, and Believable

Breakthrough thinking is a useful model to create ideas. Readiness and maturity models can help measure your readiness to launch and your AI program maturity as your progress.

Here's how to choose an AI vendor.

Once your program is launched, then the next step is to measure the impact of your deployments and continuously improve their quality and variances of your key performance indicators.

People create technologies and then the technologies affect how people think, feel, and act. Take the iPhone, launched in 2017, for example and how it has changed our lives.

Intelligent innovation i.e. Aintrepreneurship, creates innovative intelligence that informs future intelligent innovation. They are two sides of the same quality improvement coin.

Today, many high-stakes fields, including finance, sick care, and air-traffic control, are adopting AI oversight systems to improve accuracy. But how does this change the behavior of the people whose behavior is suddenly under the microscope? And are these changes all positive?

New research by Kellogg associate professor Daniel Martin and Kellogg PhD student David Almog uses a robust set of Hawk-Eye data to analyze the technology’s effect on how umpires call matches. What they find: in general, umpires’ accuracy improves when they know that AI could contradict them; their overall mistake rate dropped by 8 percent after the introduction of Hawk-Eye.

"To be clear, the researchers find that the combination of umpires and AI led to more accurate calls across the board. But the fact that it changed umpires' behaviors in unanticipated, and not entirely positive, ways is important, say the researchers, especially as its use spreads to other contexts."

AI objectives, key results and initiatives not only need to be SMART or DUMB, they need to be intelligent. Getting there requires an AI CQI infrastructure and process to maximize the value of the outcomes.

Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs on Substack