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From clinical risk intelligence to governed follow-through, Marqi builds distinct capabilities to address real challenges in healthcare delivery.
Move approved care steps toward verified resolution with clear ownership, governed actions, exception handling, and completion evidence.
Predict which patients are at elevated readmission risk and help clinical teams prioritize attention where it matters.
Turn discharge summaries into structured, auditable signals to help teams identify care gaps and prioritize post-discharge action.
ELLA is Marqi's governed workflow execution copilot. It helps ACOs and healthcare operations teams coordinate approved next steps, handle exceptions, maintain human ownership, and verify what actually happened.
Start with one bounded workflow, such as specialist referral follow-through. ELLA is a distinct solution and does not require a Marqi Index deployment.
Referral request recorded
A milestone—not proof that a visit happened
Appointment confirmation missing
Exception remains visible until addressed
Human follow-up assigned
Named accountability and review
Resolution rule
Appointment booked is not visit completed. Matching completion evidence is required.
Illustrative workflow only. No patient data or live EHR connection shown.
Clinical risk intelligence and accountable follow-through for organizations working to manage cost, quality, and patient outcomes.
Identify patients at elevated readmission risk and strengthen transitions that matter for care quality and hospital performance.
Learn moreFocus on MSSP benchmark performance, CMS quality priorities, and potentially avoidable utilization across attributed populations.
Explore ACO solutionsStratify population risk and direct care management resources earlier, before costly utilization or unmet care needs escalate.
Learn moreRecognize emerging high-cost risks and align care management priorities across covered populations and delivery partners.
Learn moreMarqi was founded after a personal experience with a preventable cardiovascular event that current risk tools did not catch. A patient with arteries more than 90 percent blocked, with no symptoms and a regular primary care relationship, was missed by every score in the chart.
That experience shaped Marqi's commitment to rigorous clinical intelligence: understand the risks that matter, use the data teams already collect, and be transparent about the limits of prediction.
Today, Marqi advances clinical risk intelligence through Marqi Index and accountable care workflow execution through ELLA. They are distinct offerings united by a commitment to meaningful action.
The Marqi Index methodology is documented in a manuscript currently under submission at npj Digital Medicine.
Temporal validation, 30-day readmission after AMI. 95% CI: 0.771-0.838.
AMI patients across model development (3,894) and temporal validation (1,259).
npj Digital Medicine (Nature Portfolio). Full methodology disclosed.
Research integrity
During Marqi Index development, an AI coding assistant produced a spurious AUC of 0.937 by training on a synthetic patient-level dataset generated from cohort-level aggregates. The error was caught through independent recomputation. The final, validated AUC on real temporal validation data is 0.807.
If you have ever evaluated an AI vendor whose performance claims could not survive a careful audit, you understand why this matters.
“We were skeptical of another readmission score after years of LACE disappointments. Marqi's transparent validation approach and peer-reviewed methodology finally gave us confidence in the numbers.”
Chief Medical Officer
350-bed Regional Medical Center
Quick answers about Marqi Index deployment, validation, and integration.
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Bring one workflow that keeps getting stuck. Explore ELLA's approach to ownership, exceptions, and verified resolution—or learn more about the research behind Marqi Index.