Clinical AI Algorithm EngineRead Product Guide
Near real-time decision making support for healthcare practitioners to improve patient outcomes
SENSE aims to unlock a more proactive or ‘anticipatory’ model of care
Anonymised patient data is sent to the SENSE engine where a predefined algorithm (a ‘SYNE’) analyses the data and provides a risk score for a particular outcome. SYNEs are developed to optimise clinical and operational decision making.
SENSE uses advanced machine learning technology to process large quantities of clinical variables simultaneously providing personalised predictions, with quantifiable certainty levels for each patient clearly presented to clinicians.