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🛡Defense · D1 · Veterans Health ProgramAnonymized — Real Engagement

D1 — Process Intelligence Brief

Five governance gaps at a regional Veterans Health Program managing readiness assessment across 12,000 active beneficiaries. Three gaps carry the highest priority rating — all three create immediate regulatory and liability exposure. PDIO Deliverable 1 of 4.

📄 D1 Deliverable — Process Intelligence Brief · Engagement ENG-002 · PDIO Phase 1 of 4

Executive Summary

This brief addresses five governance gaps at Veterans Health Program, a regional program producing approximately 4,800 readiness assessment touchpoints per month across primary care, behavioral health, and occupational medicine.

The most urgent gap is readiness assessment governance. Three commercial AI tools are currently in use with no audit trail, no confidence scoring, and no model versioning. Outputs cannot be traced to the model version, input data, or confidence level that generated them. This creates liability exposure and prevents quality improvement. The assessment methodology also relies heavily on self-reported data and episodic clinical encounters — missing the continuous signal streams that predict readiness degradation before it becomes a clinical event.

The second critical gap is environmental exposure integration. Deployment-related air quality exposure history is not systematically connected to readiness scoring. The NASA Environmental Readiness Index (ERI) and Human Environmental Health Index (HEHI) methodology — licensed by Cromtec under Earthdata licenses DN-2469, DN-2604, DN-2610, DN-2611 — requires structured environmental intake data that is currently captured for only 18% of the beneficiary population.

The third critical gap is behavioral health escalation governance. No escalation protocol exists for AI outputs that contradict clinical judgment — there is no documented chain of authority for resolving AI-human disagreements. Both gaps must be closed before ATLAS deployment.

Process Inventory

PROC-001

Veteran Readiness Assessment Governance

Critical (5)
Type

Clinical / Operational

Frequency

Per assessment cycle (monthly)

Current Owner

Primary Care Provider

Governance Gap

Three commercial AI tools in use with no audit trail, no confidence scoring, no model versioning. Outputs cannot be traced to the model version, input data, or confidence level that generated them.

PROC-002

Environmental Exposure History Integration

Critical (5)
Type

Clinical

Frequency

Per patient + ongoing

Current Owner

Environmental Health Specialist

Governance Gap

Deployment-related air quality exposure history not systematically connected to readiness scoring. NASA ERI/HEHI methodology cannot be applied without structured environmental intake.

PROC-003

Behavioral Health Escalation Governance

Critical (5)
Type

Clinical

Frequency

Continuous — event-driven

Current Owner

Behavioral Health Provider

Governance Gap

No escalation protocol exists for AI outputs that contradict clinical judgment. No documented chain of authority for resolving AI-human disagreements in behavioral health contexts.

PROC-004

Biometric Monitoring Coverage

High (4)
Type

Safety / Operational

Frequency

Continuous

Current Owner

Primary Care Coordinator

Governance Gap

Biometric monitoring data capture rate: 34% — significant gap. Continuous signals required for NASA ERI/HEHI readiness modeling are unavailable for 66% of the beneficiary population.

PROC-005

Command Readiness Reporting

High (4)
Type

Operational

Frequency

Weekly / On-demand

Current Owner

Medical Officer of Record

Governance Gap

Readiness determinations are not systematically documented with chain-of-command acknowledgment. Authority chain documentation required by DoD AI governance requirements is absent.

Signal Environment — 10 Active Signals

Biometric Signals

Signal IDSignalSourceSamplingNormalWarningCriticalProcess
VH-001Physical Fitness Assessment ScoreFitness Assessment SystemPer assessment cycle≥ 80/10065–79< 65PROC-001
VH-002Body Weight IndexClinical encounter recordsPer clinical encounterBMI 18.5–24.9BMI 25–29.9BMI ≥ 30 or < 18.5PROC-001
VH-003Resting Heart RateBiometric monitor (where available)Continuous / daily60–80 bpm81–100 bpm> 100 or < 50 bpmPROC-004

Behavioral Health Signals

Signal IDSignalSourceSamplingNormalWarningCriticalProcess
VH-004PHQ-9 Depression ScreenEHR (structured behavioral health)Quarterly / triggeredScore 0–4 (Minimal)Score 5–14 (Mild–Moderate)Score ≥ 15 (Moderate–Severe)PROC-003
VH-005PCL-5 PTSD ScreenEHR (behavioral health module)Quarterly / triggeredScore < 33Score 33–49Score ≥ 50PROC-003
VH-006Substance Use Screening (AUDIT-C)EHR (clinical encounter)Annual / triggeredScore 0–3Score 4–7Score ≥ 8PROC-003

Environmental & Readiness Signals

Signal IDSignalSourceSamplingNormalWarningCriticalProcess
VH-007Deployment Air Quality Exposure HistoryMilitary exposure registry + EPA historical AQIOnce + rolling updatesAQI avg < 50 (deployment period)AQI avg 51–100AQI avg > 100 for > 14 daysPROC-002
VH-008Toxic Exposure Flag (PACT Act)Military service records (DoD DEERS)Once (record-based)No qualifying exposuresPossible qualifying exposure (requires review)Confirmed qualifying exposure (burn pit, Agent Orange, etc.)PROC-002
VH-009Current AQI (facility location)EPA AirNow APIHourly0–50 (Good)51–100 (Moderate)> 100 (Unhealthy)PROC-004
VH-010NASA ERI CompositeNASA FIRMS + EPA + NOAA (Earthdata DN-2469, DN-2604)Daily compositeERI < 0.40ERI 0.40–0.65ERI > 0.65PROC-002

Decision Authority Map

RoleDecision ScopeResponse WindowEscalation Path
Primary Care ProviderRoutine readiness assessments, medication managementPer encounterMedical Officer of Record &#8594; Commanding Officer
Medical Officer of RecordReadiness determinations, fitness-for-dutyWithin 48 hours of triggerCommanding Officer &#8594; DHA
Behavioral Health ProviderMental health escalations, PTSD/depression managementWithin 24 hours of critical screenChief of Behavioral Health &#8594; Medical Officer of Record
Environmental Health SpecialistExposure assessment, ERI integration, PACT Act documentationWithin 5 business days of referralMedical Officer of Record
Primary Care CoordinatorCare coordination, referral management, biometric monitoring enrollmentWithin 3 business daysPrimary Care Provider &#8594; Medical Officer of Record

NASA ERI / HEHI Integration

ATLAS-M incorporates the NASA Environmental Readiness Index (ERI) and Human Environmental Health Index (HEHI) methodologies under formal technology license. These frameworks — originally developed for satellite-based Earth science at Goddard Space Flight Center — are applied to integrate environmental exposure data with human biomarker signals for veteran readiness assessment.

NASA License DN-2469
Primary ERI methodology license
NASA License DN-2604
HEHI human exposure integration
NASA License DN-2610
FIRMS wildfire/air quality data
NASA License DN-2611
Satellite-based environmental monitoring

The integration produces a composite readiness score that accounts for both individual health status and environmental conditions — a capability not available in any other commercial health AI platform.

Cost of Inaction

Missed readiness degradation (ungoverned AI outputs — 3 tools in use)

$300,000–$500,000+

3 commercial AI tools with no audit trail. One missed readiness assessment leading to premature return to service creates medical liability + compensation exposure. Source: VA OIG reports on readiness documentation gaps.

PACT Act compliance gap (environmental exposure not integrated)

$200,000+

PACT Act claims requiring exposure documentation not systematically captured. Retroactive documentation costs + litigation exposure per unresolved claim. Source: VA PACT Act implementation estimates 2023.

Behavioral health escalation gap (no AI-human resolution protocol)

$150,000+

Single adverse outcome from escalation gap: liability exposure + DoD audit finding. AI-human disagreement resolution gap flagged by DHA AI governance review. Source: DHA AI Policy 2023.

Biometric coverage gap (34% capture rate)

$100,000+

Delayed detection of readiness degradation due to missing continuous signals. Each missed early intervention requiring later clinical escalation. Source: IMCOM Vision POC Plan 2024.

Next Steps

  1. Client reviews D1 and confirms the process inventory, authority structure, and signal readiness assessment. Specific attention to: authority gap assignments for behavioral health, PACT Act exposure documentation status, and biometric monitoring coverage roadmap.
  2. Upon D1 approval → Cromtec proceeds to D2 (Governance Design Specification). D2 will specify governance rules, signal configurations, three-tier authority chain design, and DHA/IMCOM alignment documentation.
  3. D2 delivery timeline: 10 business days from D1 approval. Environmental data enrichment program begins in parallel — target 60% biometric capture rate within 6 months.
← Sample GalleryD2 — Governance Design Specification →

Anonymized · Real Engagement · CROMTEC.AI · Patent TPP96862 · NASA Licenses DN-2469, DN-2604, DN-2610, DN-2611

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