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Risk Prediction: Medical + Pharmacy Data

Combining medical and pharmacy data with other data sources such as employee Health Risk Assessments (HRAs), and lab data is very powerful. Analyses based on such a rich data stream identify gaps in care and provide for detailed risk identification and stratification reports.

Based on this thorough identification and stratification process, strategies for a full range of passive, moderately active and active intervention programs are deployed as appropriate. These range from Medication Therapy Management (MTM) programs to improve and maintain compliance to passive and moderately active Disease State Management (DSM) interventions, which can include web portals, letters, phone calls, email and other outreach methodologies, to active DSM and Care Management (CM) programs.

Data warehousing and data re-acquisition from external partners and sources are standard components of this approach to containing healthcare and pharmacy benefits costs, as are Annual Savings and Value Reports which document activities, outcomes, savings and cost avoidances.

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