PREDICTIVE

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

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

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

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