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Data Mining and Benchmarking
Data mining can give public sector plan sponsors a valuable insight into plan costs and usage to improve decision making and financial analysis. Using data mining, plan sponsors can determine the root causes of cost increases, which allows for targeted and effective intervention to manage future health care expenses.
Segal's data mining services include:
- Exploring emerging population health risk factors that impact utilization
- Utilization reporting of claims in a plan
- Exploring emerging trends on utilization
- Tracking treatment compliance rates of ill employees and preventive testing compliance of all employees
- Exploring the use of integrated medical management services and data-mining tools to identify patient risk, provide disease management education and offer provider quality data and best treatment protocols
- Developing individual health management objectives and a plan strategy based on the key findings from the data analysis and predictive modeling
- Working with you to set specific program goals and objectives that can be measured and monitored
- Developing a three-year action plan to implement objectives and metrics for monitoring progress toward achieving set goals
- Working with vendors to develop needed activity and metrics reports to measure program participation activity
- Working with vendors to make sure appropriate outputs/reports are being produced