Disease Management Update
Volume III, No. 5
May 18, 2006

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Table of Contents

  1. Matria Healthcare Announces Four New Disease Management Accounts and Three Expansions of Existing Accounts
  2. Aetna Disability Claims Analysis Shows Connection Between Depression and Increased Disability Durations
  3. MEDai, Inc. -- Use of Predictive Modeling in Healthplans
  4. CIGNA International Nurse Helps Women Have Babies in Any Language
  5. Predictive Modeling: Improving Margins by Identifying and Targeting High-Risk Populations

1.) Matria Healthcare Announces Four New Disease Management Accounts and Three Expansions of Existing Accounts

Matria Healthcare, Inc. (Nasdaq: MATR) announced that it has been awarded four new disease management accounts. The Company also announced that three of its current accounts are implementing expansions to their Matria provided programs and services. Two of the expanded existing accounts are health plans and the other is a self-insured employer.

Read this article online at:
http://www.prnewswire.com/cgi-bin/stories.pl?ACCT=104&STORY=/www/story/05-11-2006/0004359393&EDATE=


2.) Aetna Disability Claims Analysis Shows Connection Between Depression and Increased Disability Durations

Aetna (NYSE:AET) announced results from an analysis of claims data for members with short- and long-term disability plans that demonstrate a connection between depression and the amount of time a disability keeps a person out of work. The analysis looked at claims data from 2002 to 2004 for 36,747 members. The results have prompted Aetna to offer depression education resources for members filing a disability claim, as well as referrals of certain claimants to Depression and Behavioral Health programs.

To read this article online, please visit:
http://home.businesswire.com/portal/site/google/index.jsp?ndmViewId=news_view&newsId=20060424005898&newsLang=en


3.) MEDai, Inc. -- Use of Predictive Modeling in Healthplans

Predictive modeling in healthcare has been gaining more interest and utilization in recent years. The tools for doing this have become more sophisticated with increasingly higher accuracy. We present a case study of how artificial intelligence (AI) can be used for a high quality predictive modeling process, and how this process is used to improve the quality and efficiency of healthcare.

Register to download this white paper today at:
http://www.hin.com/library/registerupm.html


4.) CIGNA International Nurse Helps Women Have Babies in Any Language

Nurse Susan Hirschle knows which hospitals are safest for cesareans, where midwives are preferred, and how long a mother and newborn can stay in the hospital anywhere in the world. Understanding maternity care around the globe is just one vital skill this CIGNA International nurse needs as she assists in coordinating health care for 250,000 expatriates and their families working away from home in 170 countries.

To read this article online, please visit:
http://biz.yahoo.com/prnews/060509/phtu038.html?.v=48


5.) Predictive Modeling: Improving Margins by Identifying and Targeting High-Risk Populations

In this special report, a panel of experts detail ways health plans use predictive modeling to identify plan members who may need proactive care management. By identifying this at-risk population, health plans can accurately gauge future patient expenses based on prior treatments. Using a combination of technology and web-based tools, health plans can use predictive modeling to project future member and group healthcare costs and price more appropriately for risk.

For more information please visit:
http://store.hin.com/product.asp?itemid=3076


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