Ecosystem
The quality of artificial intelligence begins with the quality and meaning of its training data.Data organized around clinically validated outcomes
Pascal centers the data environment on AE Outcomes, then connects approved data sets across the clinical-risk journey to add context.
A common spine for clinical-risk data
AE Outcomes constitute the backbone data set, joined with other patient-level data across the clinical risk journey.
AE Outcomes
EHR and Health IT dataRisk outcomesPatient experience dataCommon Causes & Contributing FactorsSupplementary data
More than scale
A useful clinical-risk data asset depends on what the data represent, how they are validated, and how consistently they can be connected to decisions. Pascal's data advantage is grounded in clinically validated AE Outcomes and the context that can be built around them.
This foundation supports the broader Ecosystem, including applications for monitoring and measurement and the responsible use of artificial intelligence.