StoCastic is transforming the delivery of healthcare through ground-breaking solutions that harness large-scale electronic health record data and provide care teams with real-time, predictive insight.
Our solutions are customized to your unique population, care system, and organizational objectives, and are grounded in scientific evidence, relying on feedback and engagement from frontline providers.
DIGITAL DECISION SUPPORT SOLUTIONS
THE POWER OF DATA
Hospitals and health systems continue to invest in healthcare digitization, resulting in vast amounts of data and added costs, but unfortunately, limited translation to improved outcomes.
The pain point of this shift to healthcare digitization is equipping care teams with adequate electronic health record embedded solutions. The status quo has centered around descriptive “rearview mirror” support and traditional consulting models.
Many solutions utilizing predictive, prescriptive decision support rely on alert-based apps proven to promote alarm fatigue. These apps are based on analytics not specific to the hospital's data and available resources.
WHAT WE DO​
​
StoCastic Digital Support Solutions provide real-time, predictive analytic decision support within existing electronic health record workflows, tailored to each client hospital. Objectives are to:
Support quality improvement efforts
Reduce patients' non-value added time in the healthcare system
Reduce costs and enable new revenue generation
STOCASTIC SOLUTIONS
E-NoShow
Predict the likelihood of your patients not showing up for scheduled appointments.
E-Triage
​
Our electronic triage tool targets the front door of the hospital, the emergency department, where 60-70% of patients are triaged to Emergency Severity Index Level 3 with an uncertain projected clinical course.
Using E-Triage resulted in improved early identification and expedited care for the most severely ill ED patients, while increasing identification of low-acuity patients eligible for 'fast-track' care pathways, reducing length-of-stay and improving patient flow.
​
Improve ED Patient Flow Metrics
Enhance Patient Experience
Support ED Pathways Operations
E-Triage
​
Our electronic triage tool targets the front door of the hospital, the emergency department, where 60-70% of patients are triaged to Emergency Severity Index Level 3 with an uncertain projected
care pathway.
Using E-Triage resulted in improved early identification and expedited care for higher risk patients, while increasing identification of low-risk patients eligible for 'fast-track' care pathways, reducing length-of-stay and improving patient flow.
​
Improve ED Patient Flow Metrics
Enhance Patient Experience
Support ED Operational Care Pathways
E-LOS
​
Our electronic length-of-stay prediction tool forecasts patients’ expected discharge time in real-time. Predictions are integrated into the hospital’s patient tracking board and patients’ record to enable hospital-wide prioritization of tasks/resources required to expedite discharge.
​
Drive Early Discharge and Increase Patient Flow
Increase Capacity for Additional Volume
Save Costs on Overutilized Resources
E-NoShow
​
Our electronic No-Show Tool uses machine learning methods to predict the likelihood that a patient will not show up for a scheduled appointment. Providers can then use targeted scheduling and outreach strategies to confirm or add appointments.
​
Improve Provider Productivity, Maintain Patient Satisfaction
Increase Booked Appointment Slot Utilization
Expand Patient Access via Tactical Over-Booking Approaches
E-NoShow
​
Our electronic No-Show Tool uses machine learning methods to predict the likelihood that a patient will not show up for a scheduled appointment. Providers can then use targeted scheduling and outreach strategies to confirm or add appointments.
​
Improve Provider Productivity, Maintain Patient Satisfaction
Increase Booked Appointment Slot Utilization
Expand Patient Access via Tactical Over-Booking Approaches
E-CaseLink
​
Our electronic scheduling assistance application utilizes predictive analytic methods to best match available team members to the appropriate case density, reducing the time spent assigning resources.
​
Preserve Continuity of Care
Even Workload Distribution
Reduce Agency Needs Through Team Optimization