Heart Failure
Surfaces untreated and undertreated HF patients before decompensation occurs.
47 algorithms · 20,588 patients · $24.1M opportunity
TAILRD is an AI platform that scans your EHR data to identify cardiovascular patients with unmet clinical needs — across six disease areas simultaneously.
Co-developed with Mount Sinai — the #2-ranked cardiac hospital in the U.S. 780+ gap-detection algorithms, EHR-native via Redox, deployed in production.
Heart Failure module — live gap detection
Cardiovascular patients remain dramatically undertreated despite proven guideline-directed therapies — and every gap carries both a clinical and a financial cost. Below: published undertreatment rates, paired with the estimated annual opportunity for a 400-bed program.
Clinical rates from CHAMP-HF, OxVALVE, PARTNERS, and MEPS registries and published society data (ACC, AHA, Eur Heart J). Financial estimates apply CMS reimbursement benchmarks to a 400-bed program. Actual results vary by patient population and program maturity.
Most cardiac AI tools solve a narrow problem. TAILRD was built to see the entire system.
Unlike point solutions, TAILRD analyzes the entire cardiovascular journey — from early risk identification to advanced intervention — continuously, not episodically.
TAILRD doesn't just identify disease. It flags patients who should already be receiving care — but aren't.
Every insight is anchored in guidelines, real-world data, and validated clinical pathways — not black-box predictions.
Insights route to the right stakeholder — clinicians, service line leaders, and executives — in formats designed for action, not dashboards.
TAILRD continuously scans every stage of the cardiovascular continuum — not just the moment of intervention. Therapy gaps emerge long before patients reach specialty care. TAILRD identifies them early, and keeps tracking them until care is delivered.
Each module detects therapy gaps, flags missed interventions, and routes prioritized worklists to the right team.
Surfaces untreated and undertreated HF patients before decompensation occurs.
47 algorithms · 20,588 patients · $24.1M opportunity
Identifies rhythm patients who meet criteria for anticoagulation, monitoring, or intervention.
1,730 patients · LAAC · CSP/CRT · Dofetilide REMS
Flags echo findings, referral gaps, and delayed interventions across structural disease.
1,814 patients · 24 active gaps · $10.8M opportunity
Detects missed opportunities in CAD risk stratification, diagnosis, and escalation of care.
2,330 patients · 26 auto-detected gaps · CABG vs PCI support
Surfaces progressive valve disease earlier — when intervention can still change outcomes.
1,784 patients · Echo → Cath → Surgery coordination
Expands PAD detection, closes therapy gaps, and identifies limb-preservation candidates.
1,150 patients · ABI · AAA · TCAR · VTE
Automates registry abstraction and trial eligibility screening from live clinical data.
80% auto-fill · 212 abstraction hours saved / month
The same gap intelligence, surfaced differently for each person who acts on it.

Command center across all six modules — clinical gap intelligence, quality benchmarking, financial performance, and competitive market intelligence.
Example: Undiagnosed HFpEF, untreated AF, silent structural disease

AI-detected insights, care-gap analysis, revenue pipeline, and margin-improvement opportunities by module.
Example: Patients eligible for GDMT, anticoagulation, or referral

Patient-level gap worklists, safety alerts, recommended actions, and one-click referral.
Example: Referral, imaging, procedure, or therapy initiation
All processing occurs within your network boundary via Redox. No PHI stored on TAILRD infrastructure. EHR-native deployment.
TAILRD runs on Aptible's HITRUST CSF certified, SOC 2 audited infrastructure, inheriting its platform-level security and compliance controls. TAILRD's own company-level SOC 2 Type II certification is in progress; documentation available under NDA.
Deployed on AWS through Aptible's HITRUST-certified managed platform — containers, managed PostgreSQL, and networking are handled by Aptible, so TAILRD inherits compliant infrastructure without operating its own. No on-premise installation required.
Redox-certified integration layer. Compatible with Epic, Cerner, Meditech, and all major EHR platforms. Live in days.
2026 Accelerator Cohort · Top 4% of 1,835 applicants
Elementa Labs — health tech incubator, 13th company accepted
Cardiovascular co-development partner
20+ years cardiovascular industry · Faculty: ACC, TCT, AVAM · Named to Cardiovascular Business 40 Under 40.
Interventional cardiologist, Harvard/MGH trained. VIVA founding member. 20,000+ procedures.
Employee #1 at VuMedi. Healthcare AI specialist. Expert in scalable EHR data infrastructure.
We analyze your cardiovascular program using CMS benchmark data. No PHI. No EHR connection. Your estimated gap opportunity identified in ~2 weeks.
Receive a prioritized report of clinical and financial gaps across your patient population — specific to your program size, payer mix, and service lines.
Native Redox integration brings real patient-level data into TAILRD. No PHI leaves your environment. Live in days, not months.
Prioritized worklists delivered to physicians, service line leaders, and registries. Every gap tracked to closure.
We'll analyze your cardiovascular program using CMS benchmark data and identify your estimated gap opportunity.