Real World Data
Demand for data
The demand for clinical data is accelerating and feeding the advancements we are experiencing across our entire health care eco-system, from precision medicine to population health.
Next Generation Evidence
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.
Explore our expertise
Q-Centrix partners with hospitals on their specific clinical data research initiatives.
Q-Centrix partners with members of the medical community on stages of clinical trial research.
Clinical Expertise & Contextualization
Organizing and curating these data into medically readable and computable format remains a challenge. Despite much recent progress, artificial intelligence and natural language processing continues 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 a necessity to unlocking this value.
White Paper: Renaissance of Real-World Data Research
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
How we work
Our scale and expertise curate meaningful, high-fidelity, complete and secure clinical data.
Data is extracted or input into the EMR
Data populates within the software
Experts analyze the data for accuracy
Teams analyze the reporting for process improvement