Rinicare has responded to the identified need for better and more capable risk prediction in a clinical setting by utilising our expertise in developing predictive algorithms to address a global healthcare challenge with a new technology to predict patient deterioration prior to common complications in patients using the patients’ personal physiology. The project has gathered all continuous physiological and clinical data such as ECG and blood pressure from many thousands of patients
Currently in clinical research, STABILITY defines a patient’s physiological baseline and uses this to determine their clinical risk factor consistently throughout the duration of patient monitoring.
Current Early Warning Score models are limited using generic thresholds, often resulting in subtle signs of patient deterioration being missed until it is too late to react with a pre-emptive intervention. The periodic and arbitrary intervals of the measurement used for the current EWS models make them unsuitable for critical and intensive care patients, as deterioration can occur between readings or be missed completely.
STABILITY helps clinicians to anticipate patient deterioration minutes or hours before they occur.
STABILITY uses the patient’s own baseline to calculate deterioration leading to much more accurate assessment.
Reaching deteriorating patients sooner and providing treatment earlier are key factors in improving patient outcomes.
STABILITY provides an easy to understand scoring system which promotes efficient assessment and user-friendly adoption.
STABILITY operates in real-time and constantly monitors and analyses a patient’s stability and alerts clinicians if there are positive indicators of future deterioration in the patient’s condition. These variations are often so subtle that they are impossible to discern when reading an ECG trace with the naked eye, even for experienced consultants. STABILITY will analyse the large data sets in real-time and provide clinicians with an unrivalled platform to support their clinical decision-making.