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Patient Longitudinal Data Analysis
Patient longitudinal data from claims databases provide a lot of valuable insights on patient behaviour and treatment algorithms being followed in practice.
The Challenge:
There are quite a few questions that need to be answered after the huge volume of patient data is extracted:
- What do we want to understand? Is it switches, source of business, patient share, persistence, or compliance?
- What range of date is applicable to understand current market situation?
- What are the key assumptions that need to be made and what are the key caveats that one needs to keep in mind while doing this analysis?
Our Deliverable:
Value Edge has developed a SAS based math engine to summarize and calculate the various parameters on the patient longitudinal data such as duration of brand therapy, duration of class therapy, individual patient compliance at individual drug level, use of drug in various line of therapy taking in consideration the various dosing regimen of the individual drug classes.
Value Edge's proprietary solution, Patient Edge provides the necessary answers to all questions. A few snapshots of illustrative deliverables are as below:
Asia
418-419 International Trade Towers
Nehru Place
New Delhi 110019
INDIA
email: info@valuedgeindia.com
Europe
Paris, France
email: info@valuedgeindia.com
North America
Boston
email: info@valuedgeindia.com