Reduce Excess Days and Improve Patient Flow

EHRS offer some tools to manage inpatient capacity, but when it comes to reducing length of stay and improving patient flow, they can’t keep up with the Qventus Inpatient Capacity Solution.


See how our AI-powered Inpatient Capacity Solution outperforms EHRs to drive better outcomes.

"Your IT team always tells you 'You don't need to do that. The EHR can do that.' But Qventus was really something very different with predictive analytics, machine learning, the closed-loop system, and resources that would help us drive change."

EVP and Chief Operating Officer
Regional IDN

A CLOSER LOOK

Qventus VS EHR: Key Inpatient Capabilities Comparison

Early discharge planning
Ancillary order prioritization
Care gap identification
Milestone automation
Discharge plan updates

EHR:

Basic EDD predictions using models that are not locally trained, resulting in inaccurate predictions that aren’t personalized to each patient. No disposition models.

Qventus:

Discharge Planning Assistant autopopulates aggressive, yet achievable, EDD and dispositions, with models trained on your hospital data, resulting in 2-3x increase in early EDD accuracy.

EHR:

Places orders in sequential order, not prioritized based on patient readiness, which results in inefficient completion of orders that undermines patient flow.

Qventus:

Flow Priority Assistant determines the optimal sequencing of ancillary orders and embeds it directly in the ancillary worklist, driving a 10-25% increase in high priority orders completed by EOD.

EHR:

No known functionality, relies on case managers and nurses to spot gaps.

Qventus:

Care Gap Assistant analyzes every patient’s plan to identify care gaps or potential delays.

 

When a gap is detected, Qventus orchestrates action to close the gap – for example, pre-populating an order for a provider to sign, or nudging a case manager to initiate facility selection.

EHR:

Rules must be configured manually, resulting in subjectivity and a lack of reliability

Qventus:

Uses GenAI to identify care milestones from notes – consult recommendations, placement progress, etc. – so the care team can clearly see what steps have been completed and what remains. By automatically populating and resolving patient-specific milestones, every patient’s care plan stays up-to-date and accurate.

 

When incomplete milestones that threaten discharge are identified, Qventus automatically notifies the responsible manager so action can be taken to ensure discharge success.

EHR:

“Likelihood of discharge” model is of poor quality, and waits until the day before discharge to populate – leading to avoidable delays and excess days.

Qventus:

Continuously evaluates the discharge plan beginning on day one, constantly reassessing the patient’s clinical course and highlights for the care team patients with the greatest likelihood of achieving an earlier discharge.

Qventus Inpatient Capacity Results

reduction in excess days
Up to 0 30%
effective bed capacity
0 +25-30
in cost savings
0 $6M
return on investment
0 10x
LET’S GO

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