PREVENTION
What if we prevented the first hospitalization?
The discussion asked whether accountable care should invest more in preventing an initial hospitalization, not only measuring readmissions.
Upcoming ACO peer roundtableDecember 4, 2026
From Conference Insights to Real-World Impact
Where should ACOs invest for 2027? How can we better serve complex patients? And which healthcare technologies are worth adopting?
Reserve Your Spot 10 AM Pacific · 1 PM Eastern · Free
October 28 roundtable · Key takeaways
01 / 04Perspectives, not consensus conclusions
Featured Solution · ELLA
The care plan is complete. The work isn't.
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.
Specialist referral follow-through
SYNTHETIC EXAMPLEExecution evidenceNeeds follow-through
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.
Three capabilities. One mission.
From clinical risk intelligence to governed follow-through, Marqi builds distinct capabilities to address real challenges in healthcare delivery.
ELLA
Move approved care steps toward verified resolution with clear ownership, governed actions, exception handling, and completion evidence.
- Accountable next-step ownership
- Human review and escalation
- Evidence-based verification
- Care transition follow-through
Marqi Index
Predict which patients are at elevated readmission risk and help clinical teams prioritize attention where it matters.
- Clinical risk stratification
- Readmission-risk intelligence
- Evidence-informed prioritization
- Designed for integration
Discharge Risk Intelligence
Turn discharge summaries into structured, auditable signals to help teams identify care gaps and prioritize post-discharge action.
- Built on clinical risk intelligence
- Structured discharge signals
- Reviewable supporting evidence
- Care transition context
Who Marqi Is Built For
Clinical risk intelligence and accountable follow-through for organizations working to manage cost, quality, and patient outcomes.
Health Systems
Identify patients at elevated readmission risk and strengthen transitions that matter for care quality and hospital performance.
Learn moreAccountable Care Organizations
Focus on MSSP benchmark performance, CMS quality priorities, and potentially avoidable utilization across attributed populations.
Learn morePayers
Stratify population risk and direct care management resources earlier, before costly utilization or unmet care needs escalate.
Learn moreTPAs & Employers
Recognize emerging high-cost risks and align care management priorities across covered populations and delivery partners.
Learn moreThe predictive tools your system already has failed to flag the events you are still paying for.
Marqi 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.
Built on real cohorts. Validated against real benchmarks.
The Marqi Index methodology is documented in a manuscript currently under submission at npj Digital Medicine.
0.807
AUC Score
Temporal validation, 30-day readmission after AMI. 95% CI: 0.771-0.838.
5,153
AMI Study Cohort
AMI patients across model development (3,894) and temporal validation (1,259).
In Peer Review
npj Digital Medicine (Nature Portfolio). Full methodology disclosed.
Research integrity
We disclose how the model was built. Including what went wrong.
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.
What Healthcare Leaders Say
Trusted by Quality Leaders
“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
0.807 AUC validation
FAQ
Common Questions
Quick answers about Marqi Index deployment, validation, and integration.
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Ready to turn the next step into accountable follow-through?
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.