The National Behavioral Health Intelligence Platform
An AI-Driven Behavioral Health Intelligence Platform for Population Health, Program Integrity, and Measurable Outcomes
A unified intelligence layer for the nation's behavioral health system
Generational Health is an enterprise behavioral health intelligence platform that connects patients, providers, payers, and government agencies through AI-assisted engagement, secure interoperability, and real-time population analytics — delivering measurable outcomes and defensible program integrity.
The United States is confronting the most severe behavioral health crisis in its modern history. Demand for mental health and substance use treatment has outpaced capacity, care is fragmented across disconnected systems, and public payers lack the real-time visibility required to manage outcomes, cost, and accountability. Generational Health was built to close that gap — not by adding another point solution, but by serving as the connective intelligence layer that sits across existing programs and makes them measurable.
This proposal outlines how Generational Health supports state and federal partners — including North Carolina's Medicaid program, CMS, HHS, SAMHSA, and the Department of Veterans Affairs — in improving access, strengthening care coordination, and producing the outcome data that responsible stewardship of public funds requires.
A structured pilot followed by a 12-month, evaluable deployment — beginning in North Carolina and designed for national scalability across Medicaid, Medicare, and VA populations — with a transparent outcome and ROI framework agreed with our government partners in advance.
- Public payers are accountable for outcomes they currently cannot measure in real time.
- Crisis demand (988, emergency departments, crisis stabilization) continues to rise while workforce supply remains flat.
- Fragmented data prevents early identification of rising-risk individuals before they reach crisis.
- Federal and state programs need defensible documentation, audit trails, and program-integrity evidence.
The national behavioral health crisis
The scale of unmet need is now a population-health emergency that touches every state, every payer, and every community in the country.
More than one in five U.S. adults — an estimated 59.3 million people — experienced a mental illness in 2022, and roughly 48.7 million met criteria for a substance use disorder. Among adolescents, the trend is steeper still: rates of depression and anxiety in youth have climbed for a decade. Behind these figures are rising deaths of despair — nearly 49,500 suicides and more than 107,000 drug-overdose deaths in 2022 alone.
Crisis demand has surged in parallel. Since launching in July 2022, the 988 Suicide & Crisis Lifeline has handled more than 10 million contacts. Emergency departments — never designed as the front door to behavioral health — now absorb a growing share of psychiatric and substance use presentations, with patients frequently "boarding" for hours or days awaiting an appropriate placement.
- Adults (M)
- Youth 12–17 (%)
Demand for treatment has outpaced the supply of providers, leaving millions without timely access to care.
Untreated behavioral health drives avoidable ED visits, hospitalizations, and total cost of care across every public program.
Suicide, overdose, and disability fall hardest on veterans, youth, rural communities, and Medicaid populations.
Why current systems fall short
The problem is not a lack of programs — it is a lack of connection, visibility, and accountability across the programs that already exist.
State and federal agencies have invested heavily in behavioral health. Yet those investments operate in silos: electronic health records do not talk to crisis lines, Medicaid claims arrive months after care is delivered, and care coordinators work from incomplete pictures of the people they serve. The result is a system that is data-rich but insight-poor.
| Structural gap | Operational consequence | Impact on payers & agencies |
|---|---|---|
| Fragmented data across EHRs, claims, crisis lines, and social services | No single, current view of the patient or the population | Risk is identified only after a crisis or costly admission |
| Retrospective, claims-based measurement | Outcomes are known 3–9 months too late to intervene | Funds are spent without real-time evidence of value |
| Manual, inconsistent documentation | Care quality and compliance are hard to verify | Weak audit trails expose programs to integrity risk |
| No proactive engagement between visits | Patients disengage; appointments are missed | Avoidable ED visits and readmissions accrue |
| Severe workforce shortage | Clinicians spend time on tasks that could be automated | Capacity is wasted where it is scarcest |
Behavioral health does not primarily suffer from a shortage of data — it suffers from a shortage of connected, real-time, actionable intelligence. That is precisely the layer Generational Health provides.
The Generational Health solution
One secure platform that engages patients continuously, coordinates care across providers, and gives payers and agencies real-time intelligence on access, outcomes, integrity, and cost.
Generational Health combines compassionate, AI-assisted patient engagement with enterprise-grade analytics and oversight. Patients receive continuous support — a 24/7 AI companion, appointment and medication reminders, care-plan reinforcement, telehealth access, and peer support. Providers receive coordination tools, secure documentation, and decision support. Payers and agencies receive population dashboards, outcome measurement, track-and-trace audit trails, and program-integrity evidence.
24/7 AI companion, crisis identification support, reminders, and care-plan reinforcement keep patients connected between visits.
Referral tracking, telehealth, peer support, and secure documentation close the loop across the care team.
Real-time dashboards, outcomes, and audit trails give agencies the visibility and accountability they require.
- Medicaid members navigating fragmented systems and social barriers to care.
- Medicare beneficiaries managing behavioral health alongside chronic conditions.
- Veterans who require coordinated, stigma-free, always-available support.
- Providers and care teams operating at the limits of a constrained workforce.
AI architecture
A layered, secure architecture that ingests data from across the care continuum, applies governed AI models, and delivers intelligence to patients, providers, and oversight teams.
The platform is structured as four cooperating layers. Data flows upward from sources into a normalized, FHIR-aligned data fabric; governed AI and analytics models operate on that fabric; and intelligence is delivered downward into the experiences each stakeholder needs. Every layer is built to HIPAA standards with comprehensive audit logging.
Every model is versioned, monitored for drift and bias, and produces explainable, logged outputs.
AI augments licensed clinicians and care teams; it never makes autonomous clinical decisions.
Streaming events enable rising-risk detection and intervention before a crisis occurs.
Population health management
Generational Health stratifies entire covered populations by risk and need, then directs the right intervention to the right person at the right time.
Rather than treating every member identically, the platform continuously segments the population into actionable risk tiers using clinical signals, engagement patterns, utilization history, and social drivers of health. Care resources — the system's scarcest asset — are concentrated where they change outcomes most, while stable members are supported efficiently through automated engagement.
- Active patient census and high-risk identification updated continuously, not quarterly.
- Provider capacity monitoring matched against forecasted demand.
- Referral and appointment completion tracked end to end, with automated follow-up.
- Time from referral to first appointment measured as a core access metric.
The objective is simple: identify rising risk early enough to act on it. Population health management is what converts the platform's data advantage into prevented crises and lower total cost of care.
Medicaid integration
As the single largest payer of behavioral health services in the United States, Medicaid is where coordinated intelligence delivers the greatest impact — and where North Carolina can lead.
Medicaid finances roughly a quarter of all behavioral health spending nationally and covers a disproportionate share of individuals with serious mental illness and substance use disorders. Generational Health integrates with Medicaid eligibility and claims data and with managed care and the state's care-management infrastructure to deliver member-level engagement and program-level oversight.
| Medicaid priority | Platform contribution |
|---|---|
| Access & timeliness | Continuous engagement and referral-to-appointment tracking shorten time to care |
| Care coordination | Closed-loop referrals across physical, behavioral, and social services |
| Quality measures | Automated capture of HEDIS BH measures (FUH, FUA, AMM, IET) |
| Program integrity | Documentation quality, audit trails, and anomaly detection |
| Total cost of care | Reduced avoidable ED, crisis, and inpatient utilization |
North Carolina's nationally recognized Medicaid transformation — including its tailored plans for behavioral health and its Healthy Opportunities focus on social drivers — is an ideal environment for a measurable Generational Health pilot.
Medicare integration
Behavioral health among Medicare beneficiaries is frequently intertwined with chronic disease, isolation, and cognitive decline — where coordinated engagement improves both mental and physical outcomes.
As CMS continues to expand the Medicare behavioral health benefit — including coverage for additional practitioner types and integrated behavioral health services — Generational Health supports beneficiaries and providers with engagement, coordination, and measurement aligned to CMS priorities. The platform's analytics map naturally to value-based care arrangements and to CMS quality programs.
- Integration with Medicare eligibility and claims to identify beneficiaries with behavioral health needs.
- Support for collaborative care and integrated behavioral health workflows.
- Engagement tailored to older adults, including caregiver coordination where authorized.
- Outcome and utilization measurement aligned to CMS quality and value-based programs.
Behavioral and chronic-condition management are coordinated rather than siloed, reducing fragmentation for complex beneficiaries.
Real-time outcome and cost measurement supports ACOs, MA plans, and CMS innovation models.
Veterans Affairs integration
Veterans face elevated behavioral health risk and a suicide rate well above the civilian population. Always-available, coordinated, stigma-free support is a national imperative.
The VA's 2023 report estimates that, on average, more than 17 veterans die by suicide each day. Reaching veterans where they are — continuously, confidentially, and with rapid escalation to human support when needed — is exactly what Generational Health is designed to do. The platform complements the VA's clinical and crisis services and is built to integrate with VA and community-care data through standards-based interoperability.
- Continuous, confidential engagement designed to reduce stigma and isolation.
- Crisis identification support with immediate routing to crisis resources and human responders.
- Coordination across VA facilities and community care providers.
- Outcome and engagement measurement to demonstrate impact to VA leadership and Congress.
Generational Health augments the Veterans Crisis Line and VA clinical teams. All crisis-related capabilities are designed to escalate to licensed human responders, consistent with VA protocols.
HIPAA & security framework
Security and privacy are foundational, not features. Generational Health is engineered to meet HIPAA and federal security expectations end to end, with defense-in-depth and comprehensive auditability.
The platform aligns to the HIPAA Privacy and Security Rules (45 CFR Part 164) and to the NIST cybersecurity guidance (SP 800-66, SP 800-53) that underpins federal expectations. Protected health information is encrypted in transit and at rest, access is governed by least-privilege role-based controls, and every access event is logged to an immutable audit trail. The architecture is designed to support the controls required for federal authorization pathways such as FedRAMP and HITRUST.
TLS 1.2+ in transit and AES-256 at rest, with managed key rotation and segregation.
Role-based access control, MFA, and just-in-time elevation for sensitive functions.
Immutable, timestamped logs of every access and action support investigations and oversight.
| Domain | Control approach | Aligned standard |
|---|---|---|
| Privacy | Minimum-necessary access, consent ledger, patient rights workflows | HIPAA Privacy Rule |
| Security | Defense-in-depth, encryption, RBAC/MFA, monitoring | HIPAA Security Rule; NIST SP 800-53 |
| Risk management | Annual risk analysis, vulnerability management, incident response | NIST SP 800-66 Rev. 2 |
| Data agreements | Business Associate Agreements with all covered partners | 45 CFR §164.504(e) |
| Authorization-ready | Control mapping designed for FedRAMP / HITRUST pathways | FedRAMP Moderate; HITRUST CSF |
Consent and data-sharing are enforced at the data-fabric layer. Information is shared only where authorized agreements exist, and the platform documents the basis for every disclosure.
Interoperability (FHIR / HL7)
Generational Health is standards-native. It speaks the languages federal and state health systems already use, so it connects rather than replaces.
The platform implements HL7 FHIR R4 and the US Core profiles, aligns to the USCDI data classes defined by the Office of the National Coordinator (ONC), and supports HL7 v2 messaging for legacy interfaces. This standards-first posture means Generational Health integrates with existing EHRs, health information exchanges, and payer systems — and is consistent with the CMS Interoperability and Patient Access rules that require modern, API-based data exchange.
- HL7 FHIR R4 with US Core profiles and USCDI alignment.
- SMART on FHIR authorization for secure, app-based access.
- HL7 v2 support (ADT, ORU, SIU) for established hospital interfaces.
- Designed to interoperate with state HIEs such as NC HealthConnex.
Enterprise dashboards
Executives and program leaders see the health of their entire population — access, engagement, outcomes, integrity, and cost — in one real-time console.
Generational Health translates continuous data into role-specific dashboards. State officials and agency executives monitor program-level performance; medical and operations leaders manage capacity and quality; care teams work prioritized, member-level worklists. Every metric drills down from population to provider to patient, with full audit context.
Census, access, outcomes, integrity, and cost at a glance for state and agency leadership.
Provider capacity, productivity, telehealth utilization, and referral throughput.
Prioritized, member-level worklists driven by risk and care gaps.
Track-and-trace capabilities
Every interaction is timestamped, attributed, and immutably logged — creating a defensible, end-to-end record of care and accountability.
Track-and-trace is the backbone of oversight and program integrity. Generational Health records the full lifecycle of engagement: patient interactions, referrals, care-plan updates, medication-reminder logs, documentation history, peer-support encounters, and workflow completion. The result is a continuous chain of custody for care that agencies can rely on for evaluation, audit, and investigation.
| Tracked event | What is captured | Oversight value |
|---|---|---|
| Patient interaction | Timestamp, channel, participant, outcome | Proof of engagement & access |
| Referral | Origin, destination, status, time-to-completion | Closed-loop accountability |
| Care-plan update | Author, change, rationale, version | Care quality & continuity |
| Medication reminder | Sent, acknowledged, adherence signal | Adherence monitoring |
| Documentation | Full history with attribution | Audit-ready records |
| Workflow completion | Task, owner, timestamp, status | Operational transparency |
Audit records are write-once and tamper-evident. For oversight bodies, this transforms anecdotal assurance into verifiable evidence.
Program integrity & oversight
Generational Health gives agencies the documentation quality, visibility, and anomaly detection needed to safeguard public funds and strengthen accountability.
Program integrity depends on knowing that services were delivered, documented, and appropriate. The platform supports this through documentation-quality checks, workflow visibility, referral monitoring, assessment-completion tracking, and compliance reporting. Analytics surface outliers and anomalies for human review — supporting, never replacing, the judgment of program-integrity professionals.
Statistical and pattern-based signals flag unusual utilization or documentation for review.
Completeness and consistency checks reduce errors and strengthen the record.
Configurable reports support state and federal oversight requirements.
These capabilities assist organizations in strengthening program integrity and accountability. They generate evidence and signals for qualified human reviewers; determinations remain with authorized program-integrity and clinical staff.
Population analytics
Predictive and descriptive analytics convert raw events into foresight: who is rising in risk, where demand is building, and which interventions are working.
The analytics suite spans predictive risk modeling, population-health forecasting, provider-workload optimization, behavioral health trend analysis, operational alerting, and quality-improvement recommendations. Models are continuously evaluated for accuracy, calibration, and fairness, and their outputs are explainable to the clinicians and analysts who act on them.
- Predictive risk modeling to identify rising-risk members before crisis.
- Population-health forecasting of demand, capacity, and service gaps.
- Provider-workload optimization to deploy scarce clinical time effectively.
- Behavioral health trend analysis across geographies and cohorts.
- Operational alerts for access bottlenecks and emerging hotspots.
- Quality-improvement recommendations grounded in measured outcomes.
Outcome measurement framework
A transparent, standards-aligned framework that defines success in advance and measures it continuously — so partners can trust the results.
Generational Health measures outcomes across four domains: access, engagement, clinical improvement, and utilization/cost. Wherever possible, measures map to nationally recognized standards — including NCQA HEDIS behavioral health measures such as Follow-Up after Hospitalization for Mental Illness (FUH), Follow-Up after ED visit for substance use (FUA), Antidepressant Medication Management (AMM), and Initiation and Engagement of SUD treatment (IET).
| Domain | Representative measures | Standard / instrument |
|---|---|---|
| Access | Referral-to-appointment time; % seen within 7 days | State access benchmarks |
| Engagement | Active engagement rate; retention at 90 days | Program-defined |
| Clinical | PHQ-9 / GAD-7 improvement; AMM adherence | Validated instruments; HEDIS |
| Utilization & cost | FUH / FUA follow-up; ED & readmission rates; PMPM | HEDIS; claims-based |
ROI & evaluation methodology
A rigorous, pre-registered evaluation design that isolates the platform's effect and reports return on investment in terms public stewards can defend.
Generational Health proposes an evaluation methodology agreed with partners before launch. The approach pairs a defined intervention cohort with a matched comparison group, tracks a pre-specified measure set, and reports both clinical and financial outcomes. Financial return is calculated as avoided costs (ED, crisis, inpatient, readmission) net of program cost, expressed as ROI and cumulative net savings.
- Cumulative savings
- Net position
- Program cost
| Element | Approach |
|---|---|
| Cohort definition | Enrolled population vs. matched comparison group (risk-adjusted) |
| Measure set | Pre-specified access, clinical, utilization, and cost measures |
| Attribution | Difference-in-differences with baseline and follow-up periods |
| Cost model | Avoided ED / crisis / inpatient costs net of program cost |
| Reporting cadence | Monthly operational; quarterly evaluation; full annual report |
| Governance | Shared evaluation charter with state/federal partners |
In the illustrative model, cumulative savings surpass cumulative program cost around month six, with a positive net position sustained through month twelve. Actual results are measured, not assumed.
- Baseline (index = 100)
- Projected with GH
Emergency department utilization
Emergency departments have become a costly, inappropriate default for behavioral health. Generational Health is designed to reduce avoidable ED use by intervening upstream.
A substantial share of emergency department visits involve a mental health or substance use component, and behavioral health patients frequently experience prolonged ED "boarding" while awaiting placement — straining hospitals and worsening outcomes. Each avoidable behavioral health ED visit represents both a clinical failure of upstream care and a significant, recurring cost to public payers.
Where appropriate data-sharing exists, the platform supports evaluation of ED utilization alongside continuity of care and engagement — making it possible to demonstrate, with evidence, that upstream intervention is diverting demand away from the emergency department.
Continuous engagement, rising-risk detection, medication adherence support, and rapid follow-up after a crisis are the levers that move ED utilization. The platform operates all four, then measures the result.
Readmission tracking
The days following a psychiatric hospitalization are the highest-risk window for relapse and readmission. Closing the follow-up gap is one of the most reliable ways to improve outcomes and reduce cost.
Timely follow-up after an inpatient psychiatric stay is both a quality standard (HEDIS FUH) and a powerful predictor of avoided readmission. Generational Health automatically identifies discharged members, drives 7- and 30-day follow-up, reinforces care plans, and monitors for warning signs — then tracks readmission outcomes against baseline.
| Window | Platform action | Tracked outcome |
|---|---|---|
| Discharge | Automatic identification and care-team alert | Discharge captured |
| 0–7 days | Engagement, follow-up scheduling, medication reinforcement | HEDIS FUH (7-day) |
| 8–30 days | Continued monitoring, rising-risk detection | HEDIS FUH (30-day) |
| 30–90 days | Stabilization, retention, relapse monitoring | 30/90-day readmission rate |
The illustrative model targets a roughly 28% reduction in 30-day psychiatric readmissions for engaged members — a result that is measured against a matched comparison group, not assumed.
Cost-of-care analytics
Generational Health connects engagement and outcomes to the metric public payers manage to: total cost of care, expressed per member per month.
The platform aggregates utilization and cost signals into a clear, longitudinal view of total cost of care. By reducing avoidable ED visits, crisis episodes, and readmissions while improving adherence and continuity, the goal is a measurable decline in PMPM for engaged populations — with the savings attributable, auditable, and reportable.
- Daily census, utilization, retention, and adherence rolled into cost views.
- Cost per patient and missed-appointment cost quantified and trended.
- Capacity utilization and resource allocation optimized against demand.
- Service-demand forecasting to plan budgets and staffing.
Workforce shortages & provider optimization
The behavioral health workforce shortage is the system's binding constraint. Generational Health extends the reach of every clinician rather than waiting for a workforce that will take years to build.
More than 169 million Americans live in a federally designated Mental Health Professional Shortage Area, and projections show demand outstripping supply across nearly every behavioral health role for the foreseeable future. The platform multiplies effective capacity: automating routine engagement, prioritizing clinician time toward the highest-need members, enabling telehealth and peer support, and reducing the documentation burden that drives burnout.
- Demand
- Effective supply
AI engagement and peer support handle routine touchpoints, freeing clinicians for clinical work.
Automated documentation and coordination cut administrative load.
Workload analytics direct scarce clinical time to the highest-need members.
Pilot implementation plan
A focused, measurable pilot — proposed for North Carolina — that proves impact on a defined population before scaling.
The recommended pilot enrolls a defined Medicaid behavioral health cohort (illustratively 5,000 members) within a partnering health system or managed care organization, with a matched comparison group and a shared evaluation charter. The pilot is structured to demonstrate outcomes across access, engagement, clinical improvement, and cost within twelve months.
| Phase | Duration | Key activities | Success criteria |
|---|---|---|---|
| 0 — Mobilize | Weeks 1–6 | BAAs, data-sharing agreements, interoperability connections, evaluation charter | Connectivity live; baseline established |
| 1 — Onboard | Weeks 7–12 | Population stratification, care-team enablement, member engagement launch | ≥70% of cohort engaged |
| 2 — Operate | Months 4–9 | Continuous engagement, rising-risk intervention, dashboards & oversight live | Access & engagement targets met |
| 3 — Evaluate | Months 10–12 | Outcome & ROI measurement vs. comparison group; annual report | Demonstrated outcome & cost impact |
The pilot is scoped to produce decision-grade evidence quickly, with clearly defined success criteria agreed in advance — the basis on which a state or federal partner can choose to scale.
12-month roadmap
A quarter-by-quarter path from connection to demonstrated, evaluated impact.
National scalability
A platform architected from day one to expand from a single county pilot to a multi-state, multi-program national deployment.
Because Generational Health is cloud-native, standards-based, and multi-tenant, scaling is a matter of configuration rather than reconstruction. The same platform that runs a North Carolina Medicaid pilot extends to additional states, to Medicare populations, and to the VA — each with its own governance, data agreements, and evaluation, all on shared, secure infrastructure.
- Cloud-native, multi-tenant architecture with per-program governance.
- Standards-based interoperability enables rapid connection to new systems.
- Repeatable onboarding playbook compresses time-to-value at each new site.
- Authorization-ready security posture supports federal expansion.
Federal partnership proposal
We invite North Carolina and our federal partners to launch a jointly governed, fully evaluated pilot — and to build the evidence base for a national behavioral health intelligence capability.
Generational Health seeks partners who share the conviction that behavioral health can be both more compassionate and more accountable. Our proposal is concrete: a defined pilot, a shared evaluation charter, transparent reporting, and a pre-agreed basis for scaling. We bring the platform, the methodology, and the operational commitment; our partners bring the population, the data agreements, and the policy context.
- A defined pilot population and partnering health system or MCO.
- Data-sharing agreements and interoperability access.
- A shared evaluation charter and oversight participation.
- A pathway to scale if success criteria are met.
- A secure, HIPAA-aligned deployment within the agreed timeline.
- Continuous engagement and oversight from day one.
- Transparent, standards-aligned outcome and ROI reporting.
- Responsible, human-in-the-loop AI governance throughout.
We welcome a working session with North Carolina leadership and federal stakeholders to finalize pilot scope, governance, and evaluation design. Generational Health is prepared to mobilize within weeks of agreement.
References & methodology
National statistics in this proposal are drawn from public federal and recognized sources. Financial and outcome figures labeled illustrative or projected are planning estimates, not guarantees.
Prevalence, mortality, spending, workforce, and crisis figures are sourced from the references below and reflect the most recent publicly available data at the time of writing. ROI, PMPM, utilization-reduction, and outcome-target figures are illustrative projections developed for planning and discussion; actual results depend on baseline utilization, data-sharing scope, population characteristics, and implementation, and are measured against a matched comparison group during the pilot. All AI capabilities operate under human-in-the-loop governance and provide decision support only; they do not replace clinical judgment or crisis-response protocols.
- SAMHSA. Key Substance Use and Mental Health Indicators in the United States: Results from the 2022 National Survey on Drug Use and Health (NSDUH). 2023.
- Centers for Disease Control and Prevention (CDC), National Center for Health Statistics. WISQARS Fatal Injury Reports — Suicide, 2022.
- CDC. Drug Overdose Deaths in the United States, provisional and final mortality data, 2022–2023.
- Health Resources & Services Administration (HRSA). Designated Health Professional Shortage Areas — Mental Health, Quarterly Summary, 2024.
- U.S. Department of Veterans Affairs. 2023 National Veteran Suicide Prevention Annual Report. Office of Mental Health and Suicide Prevention.
- Medicaid and CHIP Payment and Access Commission (MACPAC). Behavioral Health in the Medicaid Program. 2023.
- KFF (Kaiser Family Foundation). Mental Health and Substance Use State Fact Sheets. 2023–2024.
- Centers for Medicare & Medicaid Services (CMS). Behavioral Health Strategy and the Medicare Behavioral Health Benefit Expansion. 2024.
- SAMHSA. 988 Suicide & Crisis Lifeline Performance Metrics. 2022–2024.
- National Committee for Quality Assurance (NCQA). HEDIS Behavioral Health Measures (FUH, FUA, AMM, IET). 2024.
- Office of the National Coordinator for Health IT (ONC). United States Core Data for Interoperability (USCDI) & HL7 FHIR US Core. 2024.
- HHS Office for Civil Rights. HIPAA Security Rule, 45 CFR Part 164. NIST SP 800-66 Rev. 2.
- CMS Interoperability and Patient Access Final Rule (CMS-9115-F) and Advancing Interoperability (CMS-0057-F).
- National Council for Mental Wellbeing. The Behavioral Health Workforce Shortage. 2023.
- Substance Abuse and Mental Health Services Administration. Projections of National Expenditures for Treatment of Mental and Substance Use Disorders, 2010–2030.
This proposal is structured to be updated as pilot data accrues. We welcome partner input to refine measures, targets, and governance prior to launch.