The Inpatient Flow & Bed Management Module

Decrease Excess Bed Days | Decrease Length of Stay | Increase Bed Capacity

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 pounds 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 adapt 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

To eliminate excess bed days

Predicts delayed discharges by ward & specialty

To proactively prepare and allocate all resources to

prevent backlog

Predicts inpatient demand & capacity

To foster collaboration

among care teams & ancillary services to achieve a shared discharge goal

Provides a discharge target for each unit

To aid care teams to identify and prioritize patients who are

nearing discharge

Provides a patient-specific list of possible discharges