Real World Evidence
Accelerate Market Access Through Actionable Real World Data.
With 35 years of expertise in generating real-world data (RWD), APLUSA goes beyond traditional CRO boundaries. We capture insights from physicians, caregivers, and directly from patients, giving you a 360° understanding of health outcomes and treatment journeys.
Our Toolbox
Understanding Beyond the Obvious
Our qualitative studies dig beneath the surface to uncover the motivations, emotions, and perceptions that truly drive healthcare behaviors. Using in-depth interviews, focus groups, ethnography, and diary studies, we explore the lived experiences of patients, caregivers, and professionals alike. This approach enables you to:
- Reveal unmet needs and emotional drivers
- Uncover barriers, perceptions, and expectations
- Craft communication and solutions that truly resonate
By tapping into real human experiences, we help you design healthcare strategies with meaning, relevance, and lasting impact.
Precision That Drives Action
Our quantitative studies empower confident decision-making by delivering data with depth, accuracy, and purpose. We capture behaviors, perceptions, and market dynamics through expertly designed surveys, rigorous sampling, and advanced analytics. Whether it’s declarative opinion data or real-world prescription behavior, our studies help you:
- Map market potential and segmentation
- Track brand performance and satisfaction
- Decode treatment choices from both HCP and patient viewpoints
With robust evidence, we turn numbers into meaningful strategy.
AI-Driven Market Segmentation
Our smart segmentation leverages machine learning decision tree analysis to create meaningful, data-driven segments within your target population. Whether it’s differentiating patients by prescription levels or treatment duration, our experts select the optimal algorithm to build and refine predictive models. This approach delivers:
- Clear segment definitions and sizes
- Insight into key behavioral drivers and barriers
- Competitive and market understanding grounded in data
- Discovery of visible and hidden growth opportunities
- A predictive model to accurately assign respondents to segments
The result: smarter targeting and sharper strategy for every healthcare challenge.
Targeted Typologies for Impact
Clustering & Profiling toolkit uncovers shared characteristics within your healthcare audience, whether demographic, clinical, or behavioral, to define strategic, high-impact groups. Using advanced techniques such as K-means and Hierarchical Cluster Analysis (HCA), we build meaningful typologies that go beyond statistics to reveal actionable narratives. Our deliverables include:
- Richly detailed profiles illustrated with animated avatars
- Statistically significant drivers behind group distinctions
- A correspondence analysis chart summarizing key findings
- A predictive machine learning model to classify future respondents
This approach enables tailored communications and focused strategies built around real-world healthcare behaviors.
Future-Focused Strategy
Our forecasting solution harnesses the power of AI and machine learning to predict key healthcare KPIs such as market share, satisfaction, or prescribing intent, and reveal the drivers behind them. Using advanced techniques like regression analysis, discriminant analysis, or random forest algorithms, we pinpoint the most influential variables and assess model accuracy via a confusion matrix. The result: a focused, data-driven strategy that allows you to:
- Predict KPI outcomes per respondent with fewer survey questions
- Identify the strongest levers influencing performance
- Quantify how improvements in specific attributes impact KPIs
With predictive precision, you can prioritize high-impact actions and boost business outcomes.
Let's Talk
