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Real Results with ICD-10

Decrease in productivity after ICD-10 was expected, but with 3M solutions it doesn't have to slow you down. Learn how the 3M 360 Encompass System has keep productivity losses at a minimum for our clients.

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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.

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.

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Introducing Inside Angle
We've given our blog a fresh new look, making it a new gateway to resources and insights from a wide range of 3M HIS experts. Inside Angle is your one-stop destination for best practice guidance, data analysis, case studies, webinars and more. Discover the inspiration and information you’re looking for on the healthcare topics that matter most.

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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.

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