With more statistically rigorous analytic methods to further automate
insight identification, data science and machine learning can help
health systems align effective measures with specific improvement goals
more accurately and faster than typical data analysis. Health systems
can decrease the risk, cost, and time associated with outcomes
improvement and accelerate the process by using data science to help
determine which measures will help them meet their goals for their
specific populations. As the industry continues to work toward outcomes
improvement, leading organizations will rely on data science and machine
learning to test hypotheses, identify opportunities faster and more
accurately, and ensure that their improvement measures support their
overall goals.

Patrick McGill
https://www.linkedin.com/in/patrick-mcgill-md/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/

https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q