Predictive Modeling Bulletin
  Complimentary from the publishers of Predictive Modeling News                 August 1, 2012  
 
 
Complimentary Webinar: How much is your data costing you? Implications of outdated, incomplete and missing health plan data. Register Today.



Complimentary Webinar: How much is your data costing you? Implications of outdated, incomplete and missing health plan data. Register Today.

 
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Quote
  "The term ‘big data’ has been largely used to describe the vast amounts of Internet browsing tracking data becoming more available. In healthcare, AHRQ’s HCUP data set is an example of ‘big data,’ as are other publically available healthcare claims data sets, such as New York’s SPARCS. Basically, any large data set would be primarily used for three things: finding patterns, discovering unusual correlations and mining data. As Health Information Exchanges develop, each one will have large amounts of data, and all of the HIEs nationally combined certainly would qualify as a vast store of data on how care is delivered. From a predictive analytics standpoint, decision-tree methods would probably be especially relevant, since their objective is to construct groups of similar records based on the discovery of shared attributes that might not be readily apparent.” Lawrence S. Borok, President, Vantage Point Healthcare Information Systems
 
Factoid
  In a recent FICO survey, 64% of insurers said they lacked the ability to rapidly deploy or update models to maximize business impact. One-third said that implementing a new model takes four to six months, and 51% said it takes six months or longer.

Excerpted from Predictive Modeling News, Volume 5, Number 8, FICO Solution Accelerates ROI for Insurance Analytics
 
What's News
  Analytics Author: New ‘Decision Frontiers’ are Coming
Health Data Management, July 26, 2012
 
     
  Roadmap: SAP BusinessObjects
SAP, July 17, 2012
 
     
  Health Care Fraud: Analytics is the RX for $250 Billion in Fraudulent Health Care Costs
Huffington Post, July 17, 20122
 
     
  Solving Our Diabetes Problem With A System That Predicts Who Needs Help
Co.Exist, July 16, 2012
 
     
  Predictive Modeling Is a Crucial Tool for Fighting Health Care Fraud, Association Says
Bureau of National Affairs, July 13, 2012
 
     
This Month in Predictive Modeling News
 
  • Code Theory: The Impact of ICD-10 on Predictive Modeling by Dean E. Farley PhD MPA
  • Making Workers’ Compensation Medical Costs More Manageable by Stephen DiCenso FCAS MAAA and Rong Yi PhD
  • Home Care Company Alternate Solutions to Use Medalogix’s Readmission Prediction Tool
  • Health Systems Access Payer, Provider Data to Support New Delivery Models, Improve Population Health
  • FICO Solution Accelerates ROI for Insurance Analytics
  • Thought Leader’s Corner: “What healthcare and health plan data sets and scenarios fall under the definition of ‘Big Data,’ and what new approaches are being used to tackle predictive analytics in the Big Data arena?”
  • Industry News with briefs regarding Humedica; Commonwealth of Virginia and HMS; Cognizant; U.S. Air Force; and Verisk Health
  • Catching Up With…. Russell D. Robbins MD MBA
  • Click here to view page one of this issue
  • Click here to subscribe to Medical Home News, or find out more
 
 
   
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About the Bullletin
  Predictive Modeling Bulletin is a complimentary publication issued periodically from the Health Policy Publishing, LLC, the publisher of Predictive Modeling News (www.predictivemodelingnews.com) Your friends and colleagues can subscribe to Predictive Modeling Bulletin at no charge by visiting: http://www.predictivemodelingnews.com/resources.html