A global real-world data analytics platform for life sciences and healthcare researchers
of analysis saved
per day in trial costs
in trial delays
SENSIGHT’s synthetic control arm feasibility model can eliminate ~120 days of Real-World Data sourcing and manual analysis. Given that trial delays cost at least $600,000 per day, that’s $72M in value.
Synthetic control arm feasibility is just one of the built-in AI tools available in the SENSIGHT platform.
Create new patient cohorts in specific research areas across large, diverse data sets efficiently, quickly and at scale.
Undertake patient stratification of cohorts to identify relevant sub-groups of patients using Sensyne’s proprietary deep clustering tools.
Analyse the feasibility of running synthetic control arms on specific patient data sets using Sensyne’s proprietary analytics tools.
Reveal rich insights from radiology reports including sub populations, keyword correlations, and negative or positive sentiment.
Analyse usage and outcomes by product or class across different health systems to understand real-world patient journeys.
Detailed analysis of real-world patient data can increase understanding of disease progression, supporting target identification.
The data spans several therapeutic areas and features deep, longitudinal EMR data, not shallow claims data. Sensyne’s Common Data Model makes it easier to perform analyses across all data types and sources. These datasets, combined with SENSIGHT’s built-in AI tools, provide life sciences and medical researchers with instant research and analytics capabilities.