Qventus, the leading provider of AI-powered care operations automation, launched the Care Gap and Coding Automation Suite-a first-of-its-kind solution suite that identifies missed diagnoses, orchestrates timely clinical interventions, and completes documentation in real time. Fully embedded in provider EHR workflows, the solution offloads manual documentation work for care teams while ensuring reimbursement reflects the complexity of care. The first solution in the suite, Malnutrition Care Automation, is live today.
Undertriaged Conditions Drive Quality Gaps and Lost Reimbursement
Severe malnutrition demonstrates how underrecognized clinical complexity drives both worse outcomes and lost reimbursement. Patients with severe malnutrition typically remain hospitalized two additional days and face twice the risk of readmission. Yet this chronic—and highly intervenable-condition frequently gets overlooked in the hospital as busy care teams focus on the acute reasons for admission. When severe malnutrition goes undocumented, hospitals forfeit an average of $10,000 per patient in reimbursement.
A Suite of Solutions Built to Fix the Root Cause
Clinicians are already drowning in alerts. They need the below-license, administrative work automated for them, so they can focus on patient care.
The Qventus Care Gap and Coding Automation Suite is fundamentally different from traditional screening tools and CDI point solutions on the market today. While most solutions either trigger alerts when a gap is detected or retrospectively flag missing documentation, Qventus’ AI teammates proactively close care gaps by orchestrating end-to-end workflows. Fully embedded in provider EHR workflows, these assistants surface missed diagnoses early, prompt timely consults, and ensure clinical documentation is completed before care windows close. By delivering the appropriate care-not just filing documentation-health systems improve mortality and length of stay O:E performance, meet increasingly rigorous documentation standards, and reduce denials.
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The result: a patient’s true medical complexity is accurately reflected in their record—enabling higher quality care, precise risk adjustment, and reimbursement that matches clinical reality.
Malnutrition Care Automation: The Suite’s First Solution
Built on Qventus’ Care Gap Assistant and Coding and Documentation Assistant, the Malnutrition Care Automation Solution uses best-in-class chart mining to identify at-risk patients in real time, capturing cases that manual screening routinely misses. It then automatically pre-populates nutrition consult orders and prompts appropriate diagnosis documentation for MCC/CC capture.
At one southern academic medical center, the solution prompted timely nutrition consults and interventions, helping patients recover faster, and generated more than $350,000 in additional reimbursements after only three months, translating to $1.4M annually.
“Hospitals don’t need another audit tool, more CDI resources, or another AI point solution firing alerts at overburdened providers. They need proactive identification and closure of care and coding gaps earlier—for every patient, every care plan, every shift. Qventus automates that entire workflow: surfacing at-risk patients before conditions escalate, orchestrating the right interventions at the right moment, and ensuring complex diagnoses are accurately documented. The result is better patient care, less below-license work for nurses and dietitians, and reimbursement that reflects clinical complexity,” said Jason Cohen, MD, Chief Medical Officer for Inpatient, Qventus
“Most AI solutions in healthcare automate the detection of a problem and stop there. We automate detection, intervention, documentation, and coding proactively and inside the workflows clinicians already use. This latest launch proves our platform’s ability to rapidly build, deploy, and generate ROI for new solutions at a pace our clients have never seen before. In a world where operationalizing AI in existing workflows is harder than ever, Qventus is doing it at scale-and the results speak for themselves,” said Mudit Garg, Co-founder and CEO, Qventus.
SOURCE: Businesswire
