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
outpatient, and pharmaceutical claims into clinically homogeneous units of analysis called episodes
a patient’s complete course of care for a single illness or condition. The result is a sophisticated
that is used for a wide range of applications such as provider profiling, disease management, quality
and cost and use analysis. Agencies can incorporate MEG into their existing information system, or it
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
in 1998, MEG has been continually improved and is a trusted resource for measuring physician
improving quality, and reducing costs.
Physicians identify with a methodology that is based on clinical models and find MEG’s
Founded upon 25 years of clinical expertise, MEG makes accurate physician evaluation possible and
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.
- Clinically-defined measures that physicians find credible - enabling physician engagement and
- 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