>
Solutions
>
Care Gap and Coding Automation Suite

Identify and close care and coding gaps earlier

Protect revenue integrity with our dynamic system that closes the gap between clinical reality and the medical record.

HOW IT WORKS

Protect your revenue integrity and improve reimbursement

Automatically identify critical, high-value diagnoses the moment they appear and orchestrate the necessary clinical intervention and documentation.

Qventus Care Gap and Coding Automation Suite
STRATEGIC GROWTH​
annual revenue opportunity
$ 15 M+
lower length of stay
2 days
reduction in readmissions
27 %

Up to

in reimbursement per patient per diagnosis
$ 10000
CLOSER LOOk

Your AI teammates for appropriate care and accurate coding

Condition Detection Assistant

Ingests structured and unstructured date in real-time

Ingests structured and unstructured data in real-time to identify at-risk patients.

Identify at-risk patients

Make it easy for care teams to submit orders

Leverage all available data

Ensure patients get the care they need

CARE GAP ASSISTANT

Orchestrate the closure of care gaps

Pre-populates an order and prompts the provider within their EHR workflow to sign off, enabling earlier intervention. Surfaces intelligence into the care team’s worklist for better context as they prepare for evaluations.

Identify at-risk patients

Make it easy for care teams to submit orders

Leverage all available data

Ensure patients get the care they need

CODING AND DOCUMENTATION ASSISTANT

Ensure proper coding and documentation

Appropriately capture clinical complexity in documentation to support accurate MCC/ CC capture and improve reimbursement and quality metrics

Identify at-risk patients

Make it easy for care teams to submit orders

Leverage all available data

Ensure patients get the care they need

IMPACT ASSISTANT

Gain unmatched visibility into downstream impacts

Qventus analytics provide visibility into provider response rate, condition capture lift, revenue gains, and detailed evidence to support audits and reduce denials.

Identify at-risk patients

Make it easy for care teams to submit orders

Leverage all available data

Ensure patients get the care they need

MALNUTRITION CARE AUTOMATION

Orchestrate the closure of malnutrition care and coding gaps

Surface malnutrition risk to ensure timely nutrition consults and accurate documentation 

Case Study

Identifying Malnutrition Gaps at a Midwest Academic Medical Center

This AMC believed its existing workflows were effectively identifying malnutrition. However, detection largely occurred after the fact, limiting visibility into patients being missed during the encounter. After Implementing Qventus’ Malnutrition Care Automation Solution, this AMC began identifying additional malnourished patients earlier in their stay — and capturing appropriate reimbursement that would have been missed. 

in projected annualized revenue
$ 6.6 M
lift in malnutrition coding capture across system
15 %
Let's Talk

See how Qventus can close care gaps and maximize reimbursement