A pre‑diagnostic behavioral health measurement designed for early, repeatable assessment at population scale.
Built on a measurement architecture first published in a 2009 international patent filing and clinically validated through peer‑reviewed research conducted in collaboration with Mayo Clinic.
You can’t manage what you don’t measure.
This is the measurement infrastructure the industry has been missing.

Stress Number™ established the foundation — first filed in 2008, published globally in 2009.
40+ category-first positions and architecture claims — available through Institutional Access.
Unmeasured Stress Is Healthcare’s Most Expensive Blindspot
Behavioral health is the only major clinical domain without a standardized measurement layer.
Clinicians face a fragmented landscape of screening tools that don’t talk to each other. PHQ-9, GAD-7, PSS-10—each measures something different, on different scales, with different thresholds. There is no pre-diagnostic signal that works across conditions or systems.
Organizations face a behavioral health crisis they can’t quantify. Without a common metric, employers, health systems, and payers are forced to react to claims data rather than intervene early.
What’s missing is a pre-diagnostic measurement standard.
Stress Number™ is a clinically validated metric that measures stress, anxiety, and depression risk across three life domains: Home, Work, and Social.
Unlike single-dimension tools, Stress Number™ captures context.
It delivers a 0–30 score, validated by Mayo Clinic, with a clinical threshold of ≤23 identifying elevated risk.
It is:
One number. Three domains. Clinical precision.
The Stress Number™ is a clinically validated measurement designed to quantify behavioral health risk across three life domains: home, work, and social environments.
The Stress Number™ represents the first clinically validated behavioral health biomarker — a standardized measurement that quantifies stress, anxiety, and depression risk across home, work, and social domains. Validated through peer-reviewed research and developed in collaboration with Mayo Clinic, it functions as a consistent measurement layer across clinical, employer, payer, and population health systems.
This marks a turning point: The Oxygen Plan™ is transitioning from experimental assessment tools toward infrastructure-grade measurement that supports decisions, stratification, and outcomes at scale.
| Standard Characteristic | A1c (Diabetes) | Stress Number™ (Behavioral Health) | Current Behavioral Health Practice |
|---|---|---|---|
| Single standardized metric | ✓ One number (glycated hemoglobin %) | ✓ One number (0–30 score across three domains) | ✗ Multiple fragmented tools, no shared metric |
| Longitudinal tracking | ✓ Tracks change over time (quarterly) | ✓ Tracks change over time (configurable intervals) | ✗ Point-in-time snapshots, no consistent longitudinal record |
| Cross-setting comparability | ✓ Same metric across primary care, specialty, payer, public health | ✓ Same metric across clinical, employer, payer, population settings | ✗ Different tools in different settings, no comparability |
| Population stratification | ✓ Risk tiers drive care pathways and resource allocation | ✓ Validated cutoff (≤23) enables risk stratification at scale | ✗ Subjective assessment, inconsistent thresholds |
| Reimbursement alignment | ✓ Embedded in billing codes and quality measures | ✓ CPT billing pathway compatible | ✗ Limited reimbursement pathways |
| Non-diagnostic signal | ✓ Pre-diagnostic indicator | ✓ Pre-diagnostic signal for behavioral risk | ✗ Often conflated with diagnosis |
| Governance and stewardship | ✓ Governed by standards bodies | ✓ Governed by The Oxygen Plan Corporation | ✗ No unified governance |
Stress Number™ was developed in collaboration with Mayo Clinic and validated through peer-reviewed research conducted by Mayo Clinic research personnel.
The research demonstrated ROC AUC performance of 0.88–0.92 against established clinical instruments (PHQ-9, GAD-7, PSS-10), with a validated cutoff threshold (≤23) identifying elevated risk.
Stress Number™ functions as a longitudinal measurement standard for behavioral health — analogous to how A1C functions in diabetes management — enabling consistent risk assessment across clinical, employer, payer, and population settings.
Results were published in a peer-reviewed journal—not a white paper, not a press release. This is the level of validation that health systems, payers, and regulators require before adopting a new measurement standard.
This is not a wellness estimate. It is a pre-diagnostic signal with clinical evidence.
Clinical Validation — Clinically validated through peer-reviewed research published in Archives of Psychology (2018) and conducted in collaboration with Mayo Clinic.
Williams DE, Lucas E, Haugen D, Creagan ET. Initial clinical validation of The Oxygen Plan Stress Number. Archives of Psychology. 2018;2(2).

The Oxygen Plan™ operates as a measurement and routing layer:
1. User completes assessment
2. Stress Number™ generated across three domains
3. Risk stratification occurs
4. Guided referrals and follow-ups enabled
5. Outcomes tracked longitudinally
The platform integrates cleanly into existing workflows—supporting clinicians without replacing them.
Behavioral health is the only major clinical domain without a standardized measurement layer.
Stress Number™ serves the organizations responsible for behavioral health at scale.
Health Systems & Hospitals — A standardized behavioral measurement layer for early detection, clinical triage, EHR-aligned workflows, and longitudinal outcome tracking across patient populations.
Employers & Benefits Platforms — Population-level behavioral risk measurement that enables early intervention, workforce resilience strategies, and measurable ROI on mental health investment.
Payers & Managed Care — A standardized behavioral risk signal that supports actuarial modeling, claims-aligned measurement, and evidence-based referral routing within value-based care.
Government & Public Health — CMS is expanding mandatory behavioral health quality reporting across Medicaid, CHIP, and the Adult and Child Core Sets. O2OS™ provides the population-scale measurement infrastructure that supports standardized screening, quality reporting, and CPT-aligned reimbursement across state and federal programs.
Clinical Research & Academic Centers — A validated and replicable measurement framework for behavioral health research, program evaluation, and cross-site outcome comparison.
Diagnostics & Life Sciences — A clinically validated pre-diagnostic behavioral measurement signal (ROC AUC 0.88–0.92) that supports trial stratification, patient monitoring, and real-world evidence generation. Designed for integration into diagnostic platforms and population health workflows at scale.
Behavioral health data demands restraint.
The Oxygen Plan™ was built with governance, transparency, and ethical use at its core.
Measurement exists to support care—not to manipulate, monetize distress, or replace human judgment.
We believe infrastructure should serve people, not extract from them.

The Stress Number™ measurement framework originates from a 2009 international patent publication — one of the earliest system-level architectures for quantifying behavioral stress across life domains. What is now a clinically validated, institution-ready metric began as a published disclosure that predates the digital behavioral health category itself.
Founded by Eric Lucas — the named inventor on the original filing and a former Fortune 250 VP and Corporate Officer — The Oxygen Plan Corporation has developed this work over 18 years through clinical validation with Mayo Clinic, EHR-ready architecture, and systematic intellectual property development.
The infrastructure has been self-funded and deployed through enterprise and EAP channels, including sustained engagement with Microsoft and a government entity across a workforce exceeding 100,000 employees.
Clean cap table. One institutional investor. Debt-free. 100% infrastructure ownership.
Public record priority — 2009 international patent publication
Independent clinical validation — Mayo Clinic, peer-reviewed, ROC AUC 0.88–0.92
Longitudinal stewardship — 18 years, founder-led, no dilution chaos
This is infrastructure built deliberately for the long term stewardship of the category — not a product rushed to market.
The foundational measurement architecture underlying O2OS™ was first disclosed publicly in 2009 through an international patent publication, predating the emergence of digital behavioral health as a recognized sector. The named inventor on that original filing, Eric Lucas, has continued to develop the architecture through clinical validation, platform engineering, and systematic intellectual property expansion over 18 years.
Next-generation multi-family architecture in active development, with additional filings being prepared.
The infrastructure is built on:
This is not a feature set. It is a defensible infrastructure position with a documented lineage that predates the market it serves.
Patent activity is ongoing.
The Stress Number™ patent was filed in 2008 — before the App Store launched.
Once established, measurement standards tend not to be replaced — they become reference points.
For qualified institutional inquiries, we provide structured access to foundational documentation including clinical validation, intellectual property timeline, and infrastructure overview. Access is reviewed individually.
A single Strategic Foundational Partner seat is currently under consideration.
Every major clinical domain has a standardized input for AI. Behavioral health never did.
AI systems in healthcare can model labs, claims, imaging, and genomics with increasing precision — because each has a standardized, machine-readable input layer: LOINC, ICD, DICOM, CPT, HL7/FHIR.
Behavioral health has not historically had a multi-domain, upstream, longitudinal input layer designed for AI-era prediction. Most current instruments are diagnosis-adjacent and were not designed as structured computational inputs.
The Stress Number™ is designed to serve as that upstream input — a single, clinically validated signal that AI systems can compute on without assuming behavioral validation risk.
Infrastructure doesn't compete. It embeds.
Start a conversation →If you are exploring better ways to measure, understand, or support behavioral health at scale, we welcome the conversation.
