The Situation
Rare diseases are complex, and with limited research available, therapeutic options are often limited. Gene therapy, a growing area of clinical research, is showing great promise in treatment that may be life-altering for patients with many rare diseases.
A client who specializes in gene therapy for a particular rare disease came to EVERSANA looking to better identify and target their therapy to patients and healthcare providers. They looked to gain a deep, data driven understanding of:
- The patient journey across multiple age groups of patients.
- Prescribing patterns of healthcare providers who specialize in this disease.
- Geographical factors impacting patient care.
- Cost of care.
- Additional factors impacting patients and healthcare professionals in the treatment of this disease.
The Solution
Through a strategic, consultative approach, EVERSANA established a structured and holistic plan that leverage artificial intelligence, machine learning and robust claims data to define a richer patient journey profile and created an interactive dashboard of RWD and actionable insights.
Powered by ACTICS by EVERSANA, a premier, tech-enabled solutions that delivers commercial analytics, integrated patient analytics, pricing and market access analytics, along with RWD and Health Economics & Outcomes Research (HEOR), this dashboard was critical in informing the client’s clinical and go-to market strategy, which included:
- Successfully defining a patient study cohort with input from the client and EVERSANA’s clinical team for further analysis.
- Generating separate insights into the disease of patients in different age groups using machine-learning methods such as Mutual Information.
- Analyzing the existing payer landscape via cost-of-care analysis.
- Assessing a graph-based referral network to generate communities and identify key opinion leaders.
The Results
Based on the data and analysis provided by EVERSANA, the client successfully:
- Established guiding principles for therapy/indication by creating a patient definition.
- Identified high-value targets.
- Characterized the existing market landscape.
- Addressed key business questions through a detailed, longitudinal cohort analysis.
- Visualized the results through custom and interactive Tableau dashboards.