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Predictive Analytics and Big Data
We live in an era of data being generated at an unprecedented
level. Yet accessing and harnessing data to work for providers
and patients and inform decisions about individual patients and
patient populations is a work-in-progress. An expert panel at
the Boston Children's Hospitall Innovation Summit 2014,
moderated by National Public Radio’s Tom Ashbrook, reviews the
current state of predictive analytics and big data, the
potential and promise and opportunities for innovation from the
lens of clinicians, industry, investors and regulatory leaders. |
Bret Shroyer: Top 6 Myths About Predictive Modeling
1 . Predictive modeling is mostly a technical
challenge
2. The most important thing is to use the right kind of model
3. Click to
continue
Source: Insurance Thought Leadership, November
21, 2014
Source URL:
http://insurancethoughtleadership.com/top-6-myths-about-predictive-modeling/#sthash.vb4I2X5t.dpbs
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healthsprocket. "What's on your list?"
- Product, Service Providers Take the Stage for Our 5th Annual Vendor Issue
- Part I: PM Industry Vendor Company Profiles of Allazo Health; Lumiata; Medalogix; Milliman; Pacific Market Research; SAS; The Modeling Agency and Verisk Health
- Part II: Case Studies- Blue Cross and Blue Shield of North Carolina Uses SAS to Predict Patients at High Risk of Readmission; AllazoHealth
- Survey Results Examine Predicting Patient Non-Compliance
- Part III: Predictive Modeling Industry Commentary by Elliott Wood, COO, Medalogix
- Thought Leaders’ Corner: “What
predictive modeling trend excites you the most for
2015?’
- Industry News with briefs regarding Healthesystems; Cardinal Health; SAP; Healthline and Seno
