What it Takes to Succeed in Healthcare AI: A Discussion with KLAS Research
In this webinar, ClosedLoop and KLAS Research discussed how healthcare organizations must quickly learn how to use AI to help predict and prevent adverse outcomes, or risk poor financial performance.
93% of healthcare leaders believe AI will improve clinical outcomes, but only 32% say they have the right AI capabilities (Morning Consult, 2022).
With the growing adoption of value-based care and population-based payment models, healthcare organizations must quickly learn how to use AI to help predict and prevent adverse outcomes, or risk poor financial performance.
Early adopters of healthcare AI have figured out how organizational culture, technology, and the right partnerships are helping them deploy AI solutions to areas with the greatest clinical impact.
Join Joe Van De Graaff and Jennifer Hickenlooper of KLAS Research, and Andrew Eye of ClosedLoop, the Best in KLAS winner for Healthcare AI: Data Science Solutions for 2 years running, to learn how healthcare organizations like yours are adopting AI to tackle some of the industry’s biggest challenges.
In just 1 hour, you’ll learn:
- What buyers value most in healthcare AI solutions
- The role of explainability and actionability in clinical decision-making
- How a data science solution differs from traditional analytics platforms
- How accelerating healthcare AI led clients to give ClosedLoop A+/A grades across the board
Register to watch the webinar on-demand today.