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| Home > Solutions > Health Care |
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Our health care analytics group has more than 40 years of combined experience in health care research, managing health care and insurance companies, and running the IT departments of large corporations. We understand the C-executives are constantly under pressure to reduce costs and find innovative solutions to generate revenues. Many of them are discovering these solutions in their in house data and burgeoning field of predictive modeling where advanced statistical methods and analytical framework provided by artificial intelligence techniques.
AnalyticsPlus has a team of professionals who understand both the health care content and business issues facing the executives and the cutting edge predictive modeling techniques. We work with your company’s IT department to provide business solutions that help the CFO reduce the cost structures in the company while helping the CEO generate new business. The following three examples provide the gamut of projects where we are helping our customers:
1. Automation of medical bill review process and technology to identify claims with high likelihood of overutilization, unusual billing practices, and recovery of overpayments to providers. Prospective candidates for such a technology are private insurance companies, self-insured corporations and overpayment recovery of Medicare and Medicaid.
2. Identify cases where medical only claims become time-loss claims and the cost of servicing time-loss claims is 20-40% higher than medical only claims.
3. Identifying low risk individuals where the health care premiums can be reduced based on their healthy behavior and medical treatment complaints.
The underlying theme with all these different types of projects is our ability to understand the nuances of health care data and our more than 40 years of combined experience in the statistical analysis and predictive modeling using the most sophisticated tools and techniques available.
We invite you for a discussion on how we can work with you to discover business solutions hidden in your data warehouses and applications running on your servers.
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• Do you believe that your data can discover solutions to your business problems?
• A proof of concept will demonstrate that it can without doubt
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