GenServe.AI · Built for the CMS Ambulatory Specialty Model
ANCHOR
Ambulatory Network for Cardiology Heart-failure Outcomes & Real-World Evidence
A physician-led, patient-powered, AI-enabled care quality network for heart failure
GenServe.AI serves as the Management Services Organization behind ANCHOR, a national cardiology network built to meet CMS's mandatory Ambulatory Specialty Model, from readiness through performance.
ASM Year 1 begins; adjustments land in 2029 on a two-year claims lag
20+
Medicare HF patients a year triggers mandatory NPI-level attribution
0
Opt-out option for eligible cardiologists in selected CBSAs
5 yrs
Performance period, running January 2027 through December 2031
Source: CMS ASM final rule (CY2026 MPFS, Nov 2025); ACC, Benesch LLP, MedAxiom readiness guidance.
The problem
Independent cardiology is being pulled into risk it has no infrastructure to manage
Fragmentation
Most HF care sits in small and independent groups with no shared care-management layer, no episode tracking, no common protocol.
Quality burden
Patient-reported outcomes, risk stratification, and cost-of-care tracking now fall on practices with no dedicated staff or technology.
No leverage
Practices carry two-sided risk alone, with neither the scale for payer contracts nor the bench for a bad performance year.
The structure
One national network, three layers
Cardiology practices, nationwide
Individual NPI-level ASM accountability: independent and small-group HF practices across mandated CBSAs
↓
ANCHOR, the physician-led HF Care Quality Network
Shared clinical governance, HF protocols, and quality standards, with clinical leadership co-anchored with a national medical society
↓
GenServe.AI, Management Services Organization
GENIE-CV care management, NeXXT quality and data infrastructure, patient engagement, and operations staffing
The MSO layer
What GenServe delivers as MSO
Care management
GENIE-CV agentic workflows for RPM, PCM and TCM, risk stratification, and care-gap closure
Quality & data infrastructure
NeXXT Clinical Graph Engine for episode cost tracking, quality reporting, FHIR and OMOP interoperability
Patient engagement
Patient-reported outcome capture, remote monitoring, and patient-facing tools built into the care loop
Contracting & ops
Credentialing, payer contracting support, and practice operations staffing at national scale
The engine
How GENIE Heart Failure works
A governed AI agent watches over every patient 24/7 between office visits, running the between-visit workload around the clock. The HF care team makes every clinical decision.
GENIE
Your AI care partner for heart failure
24/7 care, between every visit
Governed AI agentHF care team, every clinical decision
Why patient-powered
Patient-reported outcomes drive the quality score that drives the payment adjustment
1. Patient
Reports symptoms and function through KCCQ and connected devices
2. GENIE-CV
Flags real-time risk and surfaces the signal to the care team
3. Care team
Intervenes before an avoidable admission or ED visit
4. ASM score
Outcomes and cost performance improve, alongside network economics
KCCQ: Kansas City Cardiomyopathy Questionnaire, a core patient-reported outcome measure in HF quality frameworks.
The coalition
Multiple organizations, national societies, and a collective of AI-native organizations supporting providers in at-risk initiatives