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veLOSity is our solution to proactively manage the limited resources in the healthcare system to reduce inpatient length of stay which would automatically create capacity with no labour cost increases. We use Artificial Intelligence (AI) and machine learning models that can continuously adopt and learn on its own to design this module to ensure accurate predictions amidst various trend dynamics.
This module provides future intelligence for next 14 days by hour of day on all inpatient bed demand and capacity with list of predicted high potential discharge ready patients enabling decision makers in inpatient and bed management departments to proactively make decisions to solve demand and capacity mismatches.
Our solution help you to;
The Challenge
Effectively managing the LIMITED CAPACITY in the inpatient unit is a key challenge for many hospitals! Inefficient management of this situation can lead to prolonged patient length of stays resulting in excess bed days and extended wait times for admitted patients in need of beds. This will ultimately result in dissatisfied customers, drained staff, and a waste of physical, human & financial resources worth millions of dollars every year!
The Solution – veLOSity
Sach veLOSity unleashes the trapped capacity in the inpatient unit by leveraging comprehensive historical clinical data and applying advanced machine learning algorithms combined with artificial intelligence that can continuously adopt and learn on its own. It uses predictive and prescriptive analytics to generate accurate predictions for a proactive, early discharge planning process with real-time insights!
For the next 14 days by the hour of the day
Predicts delayed discharges by ward and specialty
With
OVER
95%
ACCURACY
Predicts inpatient demand and capacity
Provides a discharge target for each unit
Provides a patient-specific list of possible discharges
Identifies long-stay patients
To eliminate excess bed days
To proactively prepare and allocate all resources to prevent backlog
To foster collaboration among care teams and ancillary services to achieve a shared discharge goal
To aid care teams to identify and prioritize patients who are nearing discharge
To support care teams to arrange long-term care facilities
veLOSity provides;
Patient specific prediction on length of stay at time of admission
To reduce excess bed days and LOS
Total bed demand and capacity by specialty by hour of day for next 14 days
To identify mismatches in inpatient bed demand vs capacity
Long stay patient predictions
To recognize long stay patients to find outpatient facilities vs at discharge
Listing of predicted patients ready for discharge for next 14 days
To allow bed management and clinical teams to coordinate discharge workflows earlier in stay
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