Skip to Primary Navigation Skip to Site Navigation Skip to Main Content

Top Stories

3M to Retain and Invest in Its Health Information Systems Business

3M today announced that, following an in-depth exploration of strategic alternatives for its Health Information Systems business, the Company has made the decision to retain and further invest in this business.

Read More

Latest News

Predictive models and population health risk: Payment (part one)
In today's population health environment, risk-adjustment models are being used for both payment and population health management. In part one of this two-part blog, Richard Fuller and Dr. Norbert Goldfield explore the application of risk-adjustment models for capitated payment. They put forth the position that predictive models are vastly inferior to concurrent models for payment and that the use of concurrent models in conjunction with quality outcomes-based targets provides both superior incentives and increased payment accuracy.

Read the blog post here and let us know your opinion in the comments section.

Sign up to receive an email alert when a new blog is posted by 3M HIS Clinical and Economic Research. Click here to subscribe.

Population Health Requires New Options for Managing Patient Care
As a Medicare Pioneer ACO participant, reducing hospital readmissions is a priority for Montefiore Medical Center. Identifying patients at high risk, however, can be a challenge without the right tools. Using 3M Clinical Risk Grouping (CRG) Software, Montefiore stratifies and assigns a risk category to all patients in the ACO to identify patients that need immediate care to prevent hospitalizations.

Read more at Health Data Management.

Counting down the top 5 blogs of 2015
Happy New Year to all our blog readers! Before the ball drops in Times Square, catch up on five of our most read blogs of the year.

Read more at the 3M Health Information Systems blog.

Case Study: Blue Cross Blue Shield Nebraska
Blue Cross Blue Shield of Nebraska (BCBSNE) needed a more efficient way to decipher which patients were most in need of intervention. They started using 3M's predictive analytics tools and discovered that their costliest population had been overlooked. BCBSNE immediately felt the impact that predictive analytics can have on improving health outcomes.

3MHIS Blog

3MHIS Latest tweets