ARTIFICIAL INTELLIGENCE (AI)
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
OPTIMIZED STAFFING
Forecast staffing based on patient acuity
Resource Distribution
Aids in patient and staff resource distribution
Balance Demand
Assists “charge nurse” in balancing patient demand
ANA’s Core Principles
Follows the American Nurse Association’s core principles of nurse staffing
Optimized Staffing for Nurse Retention
- Establishes acuity and competency based assignments
- Reduces variation in care
- Prevents under or over scheduling
- Decreases time spent on resource assignments
- Forecasts and plans future resource needs
- Enhances communication handoffs
- Provides easy visualization of patient and staffing needs in a single view
EVIDENCE BASED
Precision decision making
100+
Evidence based indicators
Personalized
Patient algorithms used for interventions
Analytics power product improvement
49 million+
Data elements evaluated
Quality Enhancements
- Predicts high risk patients for quality and resource opportunities
- Identifies increasing workload levels
- Optimizes length of stay
- Reduces unplanned transfers to critical care
- Improves appropriate use of palliative care
- Decrease LOS
- Decrease Readmissions
- Provides quality/financial “real time” executive dashboards
- “Real time” communication and alerts
INTEGRATION
Integrates with existing electronic health record, scheduling software and other existing technology with no added documentation.
Near “real time” transparency while fitting into the “natural“ nurse and executive workflow.
System Integration Options
EHRs | Scheduling Systems | Nurse Call/RTLS | Other Systems |
---|---|---|---|
All scripts | API GE | Hill Rom | Mobile Heartbeat |
Athena Health | ClairaVia | CenTrak | |
Cerner | Facility Scheduler | Rauland Borg | |
Epic | Kronos | Rauland Versus | |
Next Gen | QuadraMed | Stanley | |
MEDITECH | API GE |
EHRs |
---|
All scripts |
Athena Health |
Cerner |
Epic |
Next Gen |
MEDITECH |
Scheduling Systems |
API GE |
ClairaVia |
Facility Scheduler |
Kronos |
QuadraMed |
API GE |
Nurse Call/RTLS |
Hill Rom |
CenTrak |
Rauland Borg |
Rauland Versus |
Stanley |
Other Systems |
Mobile Heartbeat |