Medical Episode Grouper - Government

The Medical Episode Grouper® (MEG), from Truven Health Analytics, enables government agencies to analyze patient treatments, evaluate quality of care, and manage associated costs. It does so by grouping inpatient, outpatient, and pharmaceutical claims into clinically homogeneous units of analysis called episodes that describe a patient’s complete course of care for a single illness or condition. The result is a sophisticated methodology that is used for a wide range of applications such as provider profiling, disease management, quality improvement, and cost and use analysis. Agencies can incorporate MEG into their existing information system, or it can serve as an integrated component of Advantage Suite®.

The Cornerstone for Accurate Healthcare Analysis

MEG is an established episode methodology analyzing more than 43 million covered lives. Since its inception in 1998, MEG has been continually improved and is a trusted resource for measuring physician performance, improving quality, and reducing costs.

Physicians identify with a methodology that is based on clinical models and find MEG’s risk-adjustments credible.

Founded upon 25 years of clinical expertise, MEG makes accurate physician evaluation possible and enables government agencies to evaluate quality of care.

MEG incorporates the fifth edition Disease Staging® patient classification system with 555 disease categories - enabling a sophisticated understanding of conditions, disease progression, and care choices. To keep up with the latest advances in medicine, Truven Health assembled a distinguished panel of experts including over 50 physician specialists, and every disease category was reviewed by at least three physicians. With this level of discipline and continuous improvement you can be confident that MEG delivers better information and better results.

Benefits
  • Clinically-defined measures that physicians find credible - enabling physician engagement and collaboration
  • Ability to review severity stratified data and assess the appropriateness of procedures with a clinically-sound basis to improve quality
  • Builds episodes based on the clinical diagnosis of the patient’s illness to avoid unnecessary medical interventions and reduce costs
  • Identifies high risk patients for disease / care management programs to improve the clinical basis for patient selection, and target the right patients for the right programs
  • Allows for evaluation of disease/care management programs on a risk-adjusted basis to gain a more accurate reflection of ROI for your programs