Complimentary from the publishers of Predictive Modeling News January, 2015 | |||||
|
|||||
“I would suggest that the
predictive modeling community closely look at the data explosion which
goes beyond traditional healthcare claims data and start leveraging them
to make predictive modeling initiatives more effective and efficient.
Also, as we get access to data on new members through healthcare reform,
we should capitalize on that to see how we could make such increased
healthcare access more sustainable. Lastly, I would recommend that we
focus on implementation aspects of predictive modeling initiatives,
especially at point of care, to ensure we derive value out of our
investments in predictive modeling.” - Soyal Momin, MS MBA, Director, Research Environment & Informatics, HealthCore |
|||||
"35% of patients gave their recent hospital billing experience a top satisfaction score, while 14% were less than satisfied. Satisfaction has been slowly increasing over the years, and is now 15 points higher than it was in the first survey." Excerpted from: Predictive Modeling News, Volume 8 Number 1, January 2015, "Consumer Impact Study Links Business Office, Patient Payment Behaviors" |
|||||
Predicting the Future of Predictive Analytics in Healthcare HealthCatalyst via Slideshare.net, December 22, 2014 |
|||||
Study Validates the Value and Utility of Risk-Adjustment for Stratifying
Complex Patients 3M Health Information, December 19, 2014 |
|||||
Risk Adjustment: A Critical Component of Healthcare Reform ICD10monitor, December 15, 2014 |
|||||
For Predictive Analytics, Not All Data is Created Equal HealthITAnalytics, December 15, 2014 |
|||||
Predictive analytics drive down hospital readmissions Healthcare IT News, December 4, 2014 |
|||||
Why Health Care May Finally Be Ready for Big Data Harvard Business Review, December 3, 2014 |
|||||
|
|||||
There's no cost to participate in the Predictive Modeling News LinkedIn Group where you can Network, exchange information, and follow current developments with other professionals interested in predictive modeling. You can sign up now at: http://www.linkedin.com/groups?gid=1669467 | |||||
|
|||||