How Axon Acuity Works
ARTIFICIAL INTELLIGENCE
Utilizes Cognitive Computing
Identifies high risk patients for early intervention using validated predictive algorithms; matches the “right nurse”, “right patient”, “right location” with the “right resources.”
R~.85
We utilize a neural network to achieve our highly predictive algorithm
~330,000
care episodes over 3 years > 18 years of age, implemented across 6 facilities
.9733 vs .8
ROC area under curve compared to Apache
Implementation / Validation
Developed and validated across facilities
Utilizes existing clinical documentation in EMR
Utilizes data from academic medical centers to critical access facilities
Assets CNO budgeting , quality and daily operations
System integrates with EMR and staffing system
Projects anticipated staffing needs based on acuity
Alerts clinicians for targeted interventions