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The Challenge
It has become a significant challenge for hospitals to manage the LIMITED CAPACITY & LIMITED RESOURCES in the A&E unit to cater to the highly variable demand. The existing process lead to uneven staffing to demand causing overburden of nurses and increased patient wait times making it extremely difficult for care teams to achieve the 4-hour target costing the healthcare system millions!
The Solution – prEDict
Sach prEDict unleashes the trapped capacity in the A&E unit by leveraging comprehensive historical clinical data and applying advanced machine learning algorithms combined with artificial intelligence that can continuously adapt and learn on its own. It uses predictive analytics to generate accurate future intelligence for a proactive planning and high-performing A&E process with real-time insights!
For the next 14 days by the hour of the day
To eliminate staffing to demand mismatch
Predicts total A&E admissions by case mix, acuity & specialty, and total A&E capacity
To prevent backlog
Predicts patient-level admissions or discharges before the doctor’s assessment
To proactively manage patient treatments
Predicts patient-level
LOS inside A&E from
arrival to admission
or discharge
To plan for the total demand on A&E resources & the required capacity
Predicts ambulance arrivals
With OVER 97% ACCURACY
The Results
10%
in A&E Wait Time
30%
in Time to Identify Need
For Inpatient Beds
50%
in Staffing to Demand
Mismatch
10%
in Operating Cost
The Visualisations
