Access to high-quality, complex-structured data that powers next-generation evidence is increasingly at a premium and powering both clinical innovation and commercial success.
However, so much of the valuable information that these next-generation innovations require are trapped as unstructured data in clinical notes and distributed across many sources and systems.
As an industry, we are moving beyond the perimeter of claims and standard clinical data.
Our real world data expertise
Clinical expertise & contextualization
Organizing and curating these data into medically readable and computable formats remains a challenge. Despite much recent progress, artificial intelligence and natural language processing continue to come up short. They have proven largely incapable of the contextualization and interpretation required to satisfy increasingly complex evidence questions. Trained clinicians, skilled in quality information, are necessary to unlock this value.
Elevating real-world data with forensic analysis
RWD often varies in format and includes gaps or missing data, inconsistencies, and biases, making careful management and attention to quality imperative. Optimal quality review is essential to ensure data integrity and uphold credibility.
Use Cases for Hospital-Derived RWE in Clinical Research:
- Reducing the time, cost, and burden of clinical trials
- Addressing comparative effectiveness
- Assessing health care utilization
- Understanding real-world outcomes
- Refining precision medicine
- Responding to urgent need
Real world data: Best practices for clinical applications and evidence generation
Developing a real-world data model
Vice President, Enterprise Services
Senior Vice President, Real World Data