A top five global pharmaceutical company wanted to conduct an exhaustive investigation into the patient journey to understand how its brand performed across all patient touchpoints.
In particular, they wanted to estimate the market share for their brand, monitor its adherence among patients and understand reasons for discontinuation.
The process was manual and ad-hoc in nature, demanding a considerable amount of resource bandwidth that increased manpower costs
Customized analysis also led to a multitude of process inefficiencies that took as long as three weeks to rectify
Delayed time to insights resulted in ineffective patient care and poor brand performance
Indegene designed an efficient data pipeline using an ETL data model, and also used survival regression models to track treatment persistence and brand adherence among patients.
Next, we leveraged IQVIA and Symphony APLD data platforms to analyze brand switching patterns among patients. Finally, we leveraged RWD sets and product identification codes (NDC, HCPCS, ICD) to estimate the company’s market share.
Insights across all stages were made accessible on self-serve dashboards, allowing business stakeholders to swiftly filter, sort, analyze and visualize data without involving the organization's IT team.