By Jay Chowdappa, MD, co-founder and CEO, Zynix AI · Updated October 27, 2026
Key takeaways
The CMS LEAD model is a voluntary 10-year ACO model that succeeds ACO REACH, running from January 1, 2027 to December 31, 2036 with no traditional benchmark rebasing. Its first application window closed May 17, 2026, and CMS tells ACOs in December 2026 whether they meet their 2027 alignment minimum. Without rebasing, data infrastructure decides who earns savings.
- The first LEAD application window ran from March 31 to May 17, 2026; CMS expects further windows for later cohorts but had announced none as of October 27, 2026.
- Global Risk shares up to 100% of savings and losses, and Professional Risk up to 50%.
- ACOs with at least 40 percent high-needs or ESRD beneficiaries and the required care capabilities qualify for lower alignment minimums.
- High-needs beneficiaries are risk adjusted with a concurrent model, so diagnoses documented during the year matter.
- In September 2026, CMS named 79 ACOs in LEAD's optional implementation period ahead of the 2027 start.
The LEAD Model Is Not Just Another ACO Program
On March 31, 2026, CMS opened the Request for Applications for the Long-term Enhanced ACO Design (LEAD) Model, the formal successor to ACO REACH, with a 10-year performance period. Applications closed May 17, 2026. The model starts January 1, 2027, and runs through December 31, 2036—a full decade without benchmark rebasing.
That last detail is the one that should make every ACO executive stop scrolling. No rebasing for ten years means the savings you generate in year one compound into year ten. It also means the losses you fail to prevent do the same thing. LEAD is a bet on operational infrastructure, not on gaming the reconciliation cycle.
If your ACO still runs population health on spreadsheets and quarterly chart reviews, this article is your wake-up call.
Update, October 27, 2026: On September 21, 2026, CMS named 79 ACOs taking part in LEAD’s optional implementation period, which runs from September 15 to December 31, 2026, and said it is working with well over 100 ACOs preparing for the 2027 performance year, with participation to be finalized by mid-December. CMS expects to open further application windows for later performance years, and organizations that are not ready to apply can submit a letter of interest. As of October 27, 2026, CMS had announced no new application window.
What ACOs need to know about LEAD before January 1, 2027
LEAD’s first performance year starts January 1, 2027, and the model runs through December 31, 2036. As of October 27, 2026, the first application window (March 31 to May 17, 2026) is closed, CMS has announced no new window, and accepted ACOs that opted in are in the optional Implementation Period, which runs from September 15 to December 31, 2026. ACOs have until mid-December to finalize participation for 2027.
Alignment is the next checkpoint. CMS will tell ACOs in December 2026 which alignment minimum applies to them and whether they meet it for performance year 2027. For 2027, standard ACOs need at least 5,000 aligned beneficiaries during the year and at least 3,000 claims-based aligned beneficiaries in one historical base year; ACOs that qualify for the lower High Needs/ESRD minimum need 800 and 500, and newly entering ACOs need 1,000 and 600.
ACOs that did not apply in the first window should watch for the additional application opportunities CMS anticipates for later cohorts, which it will announce through future RFAs or program guidance. Our companion post on what ACOs must get right now that the LEAD RFA window has closed covers the risk options and quality measures; the rest of this post covers the data infrastructure LEAD rewards.
What LEAD Actually Demands
LEAD introduces several structural changes that raise the bar for participating ACOs:
Total Cost of Care Accountability
Participants choose between Professional and Global risk tracks, with up to 50% or up to 100% of shared savings and losses. Unlike MSSP’s incremental glide path, LEAD expects ACOs to take meaningful downside risk from the outset. The upside: capitated, prospective population-based payments that give you capital to invest in care delivery transformation.
High-Needs Population Carve-Out
LEAD creates a distinct benchmark and trend factor for high-needs patients—dual-eligibles, homebound beneficiaries, and complex chronic populations. ACOs with at least 40 percent high-needs (or ESRD) beneficiaries, and the required care delivery capabilities, qualify for a lower minimum beneficiary threshold. This is a direct invitation to organizations serving Medicaid-Medicare crossover populations, but it requires you to actually identify, stratify, and manage those patients at scale.
Specialist Integration and Health Promotion
LEAD introduces new flexibilities for integrating specialists into ACO care pathways and funding health promotion activities. Translation: CMS wants to see coordinated, whole-person care delivery, not just primary care visit volume.
10-Year Horizon, No Rebasing
The elimination of benchmark rebasing over the model’s lifetime is LEAD’s most consequential design choice. In MSSP, ACOs that reduce spending see their benchmarks ratchet down, punishing success. LEAD removes that perverse incentive. But it also means your initial benchmark is the one you live with. Getting your risk adjustment, coding accuracy, and population stratification right before January 2027 is not optional.
Why Most ACOs Are Not Ready
Let’s be direct. Many ACOs today cannot meet LEAD’s operational requirements with their current technology stack. Here is why:
Risk Stratification Is Still Retrospective
Most ACOs run risk stratification quarterly using claims data that is months old. By the time a rising-risk patient surfaces in your analytics, they have already had the avoidable ED visit or inpatient admission. LEAD’s total cost accountability means you pay for that lag—literally.
Care Gap Closure Is Manual
Quality measures under value-based contracts require closing care gaps—Annual Wellness Visits, cancer screenings, A1c checks, medication adherence. Most ACOs still rely on care coordinators manually pulling EHR reports, cross-referencing payer rosters, and making phone calls. The math does not work at 10,000 beneficiaries. It certainly does not work at 50,000.
Dual-Eligible Management Is a Black Box
LEAD’s high-needs carve-out is a massive opportunity, but dual-eligible patients are the hardest population to manage. They span Medicare and Medicaid systems, have fragmented data across multiple payers, and often have social determinants that clinical data alone cannot capture. Without a unified longitudinal record, you are flying blind.
What Your Data Stack Needs to Look Like
To compete in LEAD, your ACO needs four capabilities running on current data:
1. Automated, Concurrent Risk Stratification
Move from quarterly retrospective models to concurrent risk adjustment that incorporates diagnoses documented during the performance year. CMS has built this approach into LEAD’s design for High Needs beneficiaries, whose benchmarks are risk adjusted with a concurrent model—your analytics need to match. AI-driven risk models that ingest clinical, claims, and ADT data continuously can flag rising-risk patients before they become high-cost.
2. Scalable Care Gap Identification and Outreach
Care gap closure cannot remain a manual workflow. You need systems that automatically reconcile clinical data against quality measure specifications, identify open gaps at the patient level, and trigger outreach—whether that is a care coordinator call, a patient portal message, or a scheduling workflow.
This is the work Zynix supports for PBACO, one of the nation’s largest risk-bearing accountable care organizations. Under a partnership announced in April 2026, Zynix provides voice and SMS outreach for Annual Wellness Visit engagement and post-discharge follow-up across PBACO’s provider network.
3. Unified Patient Records Across Payers
For the high-needs population track, you need a single longitudinal view that merges Medicare claims, Medicaid encounters, pharmacy data, lab results, and social determinant indicators. Without that unification, you cannot accurately stratify risk for the population that LEAD specifically incentivizes you to serve.
4. Scalable Care Management Infrastructure
LEAD’s 10-year horizon means your care management model needs to scale without linearly scaling headcount. AI-assisted care management workflows let a smaller team manage a larger, more complex patient panel: the platform automates task routing, surfaces priority patients, and tracks intervention outcomes—turning care management from an art into an engineered process.
The TEAM Model Connection
LEAD does not exist in isolation. CMS launched the Transforming Episode Accountability Model (TEAM) on January 1, 2026, placing 716 hospitals (CMS’s current participant count) under mandatory bundled payment accountability for five surgical episodes. Early analyses from Brandeis University and the Institute for Accountable Care suggest many participating hospitals may lose revenue under TEAM.
For ACOs evaluating LEAD, the TEAM overlap matters. If your attributed beneficiaries receive surgical care at TEAM-participating hospitals, your total cost of care benchmark will reflect those episode costs. ACOs that can coordinate with TEAM hospitals on post-acute utilization, readmission prevention, and discharge planning will have a structural cost advantage.
This is another area where data infrastructure separates winners from losers. Tracking quality measures and coordinating care transitions across acute and post-acute settings takes cross-setting visibility, which is precisely what LEAD-plus-TEAM coordination requires.
The Competitive Landscape Is Shifting
ACOs evaluating LEAD should understand the technology market context. At HIMSS 2026 in March, Innovaccer launched Flow Capture, an AI medical coding product. Abridge raised $300M in June 2025 and is expanding beyond ambient documentation into revenue cycle work, such as checking billing codes during the patient conversation. Epic continues building native AI capabilities into its EHR.
The pattern is clear: point solutions for documentation, coding, and clinical AI are proliferating. What remains scarce is the integrated data and workflow layer that ties these capabilities into operational ACO performance—risk stratification, care gap closure, quality reporting, and financial reconciliation in a single platform.
That integration layer is what Zynix builds. For many organizations, the challenge is not a lack of clinical AI tools. It is the absence of a unified data backbone that can reconcile clinical records, identify open gaps, and route them to the right care team. That is the same challenge every LEAD applicant will face at scale.
What to Do Next
If your ACO is preparing for LEAD in 2027 or evaluating a later application window, here is a concrete action plan:
- Audit your risk stratification latency. How old is the data powering your current population health models? If the answer is more than 30 days, you have a problem LEAD will punish.
- Map your care gap closure workflow. Document every manual step between gap identification and patient outreach. Each manual step is a point of failure at scale.
- Assess your dual-eligible data infrastructure. Can you build a unified record for a patient who spans Medicare FFS, Medicaid managed care, and three specialty providers? If not, the high-needs track is a liability, not an opportunity.
- Model your TEAM overlap. Identify which TEAM-participating hospitals serve your attributed beneficiaries. Start building data-sharing relationships now.
- Evaluate your technology stack against 10-year requirements. LEAD is not a two-year pilot. Your infrastructure needs to scale from your current panel to 2x or 3x that size over a decade.
The first LEAD application window closed May 17, 2026, and CMS expects to open more for later performance years. The organizations that win will not be the ones with the best application narratives. They will be the ones whose data infrastructure is already operating at the level LEAD demands.
Frequently asked questions
What should an ACO know about the CMS LEAD model?
The Long-term Enhanced ACO Design (LEAD) Model is a voluntary CMS Innovation Center ACO model that succeeds ACO REACH. It runs from January 1, 2027 through December 31, 2036 with no traditional benchmark rebasing, and offers Global Risk (up to 100% of savings and losses) or Professional Risk (up to 50%), capitated payments and tailored risk adjustment for high-needs patients. In September 2026, CMS named 79 ACOs in its optional implementation period.
Can my ACO still apply to LEAD?
Not for 2027. The first application window closed on May 17, 2026, and as of October 27, 2026 CMS had not announced a new one. CMS anticipates additional application opportunities for later cohorts and will announce them through future RFAs or program guidance. Organizations that were not ready can submit a letter of interest, and ACOs accepted for 2027 have until mid-December 2026 to finalize participation.
When will CMS confirm LEAD alignment minimums for 2027?
In December 2026, CMS will tell each ACO which alignment minimum applies and whether it meets it for performance year 2027. Standard ACOs need at least 5,000 aligned beneficiaries during the year and 3,000 claims-based aligned beneficiaries in a base year. ACOs where at least 40 percent of aligned beneficiaries are High Needs or ESRD, and newly entering ACOs, qualify for lower minimums.
How is LEAD different from the Medicare Shared Savings Program?
LEAD is a time-limited Innovation Center model with a 10-year performance period, benchmarks that are not rebased during the model, capitated payment options and risk of up to 100% of savings and losses. MSSP is a permanent program in which ACOs move through BASIC and ENHANCED tracks. LEAD also adds dedicated risk adjustment and lower alignment minimums for organizations that mainly serve high-needs patients.
What data infrastructure does an ACO need for LEAD?
At minimum: one patient record that joins Medicare claims, ADT feeds, EHR data, pharmacy and lab results, with Medicaid data for dually eligible patients where available; risk stratification that refreshes as data arrives rather than quarterly; patient-level care gap lists that trigger outreach; and care management workflows with clear owners. ACO workflows for TCM, wellness visits and HCC and quality gaps run on that foundation.
Related reading
- ACO LEAD Model: Why 2027 Will Reward ACOs That Can Execute Between Visits
- How ACOs Actually Make Money: Shared Savings Mechanics and Where AI Moves the Needle
- AI for Value-Based Care: What It Actually Does
Source notes
CMS: LEAD (Long-term Enhanced ACO Design) Model. https://www.cms.gov/priorities/innovation/innovation-models/lead
CMS: LEAD Model Request for Applications (revised April 15, 2026). https://www.cms.gov/priorities/innovation/files/lead-rfa.pdf
CMS: LEAD Model Implementation Period Participant List (September 21, 2026). https://www.cms.gov/priorities/innovation/files/lead-imp-participant-list.pdf
CMS: Transforming Episode Accountability Model (TEAM). https://www.cms.gov/priorities/innovation/innovation-models/team-model
Digital Health Wire: HIMSS 2026 Recap and Major Announcements (March 12, 2026). https://digitalhealthwire.com/himss-2026-recap-and-major-announcements/
Abridge: Media Reactions to Abridge’s Next Chapter: Series E (June 2025). https://www.abridge.com/blog/series-e-media-recap
CMS: LEAD Model frequently asked questions. https://www.cms.gov/priorities/innovation/lead-model-frequently-asked-questions
American College of Surgeons: New TEAM payment model brings opportunities, challenges for surgeons and hospitals (Bulletin, January 2025). https://www.facs.org/for-medical-professionals/news-publications/news-and-articles/bulletin/2025/january-2025-volume-110-issue-1/new-team-payment-model-brings-opportunities-challenges-for-surgeons-and-hospitals/
About the author
Jay Chowdappa, MD is co-founder and CEO of Zynix AI. He is a physician, and ACOs led by him generated $300M+ in shared savings before he started Zynix AI to help care teams follow through on what their data already shows.
If you want to see how Zynix powers ACO performance at scale—from risk stratification to care gap closure to quality reporting—request a technical demo at zynix.ai.