摘要： Risk stratification in healthcare is defined as the process of assigning a risk status to all patients in a practice. The risk status is based on data collected through a multitude of sources such as medical history, health indicators, and the lifestyle of an adult or paediatric population. The objectives of stratifying risk include addressing population management challenges, individualizing treatment plans to lower risks, matching risk with levels of care, and aligning the practice with value-based care approaches.
摘要： In a potentially historic marriage of supercomputing and big data, IBM goes live Thursday with a global weather model that it says can provide far more accurate forecasts for the entire world.
摘要： Data is revolutionizing numerous aspects of people’s lives, but not for all people equally. We are missing huge opportunities to use new data-driven innovations to improve the health of the poorest and most vulnerable, especially mothers and young children.
摘要： Predictive analytics can be invaluable to any organization that is striving to improve employee retention. Here's why it's so helpful and beneficial in nowadays.
摘要： Throughout the Digital Age, big data’s reputation has changed. Companies see data sets the same as drilling for oil: It’s invaluable. But this wasn’t always the case. Josh Green has seen the data pendulum swing. As CEO and co-founder of Panjiva, a global trade data company now owned by S&P Global, Green has built his career around finding ways data can assist companies involved in international trade.
