The promise of improving patient care and outcomes through RWD has been understood for some time, but overcoming the fragmentation and inaccessibility of disparate data sources across disease states has proven to be a hard challenge across the industry. We’re not learning fast enough— this is where clinical expert-led AI can help.
By using AI to standardize unprecedented volumes of data, uncover clinical details that have previously been hidden in free text notes, and represent full patient journeys in near real-time, researchers can ask and answer complex questions for targeted populations like never before.
During this session, experts from UCB and Truveta will:
- Examine longitudinal patient journeys on nearly 100 million patients within EHR, SDOH, mortality, and claims data across diseases, drugs, and devices
- Demonstrate the power of AI-driven extraction of critical information from free text clinical notes that were previously inaccessible
- Showcase recent research on full patient journey analysis in relatively rare conditions by accessing deep EHR data from multiple care settings and specialties