Explore the live demonstration — DVGCQ calculator, Shadow AI scanner, and board-ready audit reports, using illustrative composite data.
Demonstration mode · Vernette Grant Solutions LLC Illustrative composite data — no real patient or hospital data
PPTO Framework Governance Platform
DVGCQ · Vernette Grant Solutions LLC
1 Equity Breach Active
Demonstration ModeThis platform uses illustrative composite data. A full implementation connects to your live AI project registry and network monitoring tools.
The PPTO Framework Governance Platform is the world's first Scientific Governance Engine for healthcare AI — created by Dr. Vernette Grant and built on her peer-reviewed PPTO Framework, published in the Open Journal of Business and Management (2026). Ethics is not a constraint. It is the engine of profit.
Peer-Reviewed Scientific Foundation — Dr. Vernette Grant: Grant, V. and Levasseur, R. (2026). Translating AI Ethics into Hospital Operations: A PPTO Framework for Evidence-Based Governance. Open Journal of Business and Management, 14, 967–979. Grant, V. (2026). Ethical AI in Healthcare: A PPTO Governance Playbook for Hospital and Health System Leaders.
Core Modules
Three engines. One platform.
Module A
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Shadow AI Scanner
Scans for unauthorized AI API calls & web LLMs
Calculates Ethical Debt & Financial Liability per incident
Generates automated Mentoring Invitations per 2026 Playbook standards
Estimates HIPAA fines & CMS clawback exposure in real-time
Module B
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Mentoring & Certification
Opens with Dr. Grant's peer-reviewed PPTO Framework to establish the scientific basis
Case-based calibration: "University Medical Center" vs. "Community General Hospital"
Addresses the "Broken Rung" — ethics as the engine of profit
Issues Certificate of Ethical Leadership · PPTO mastery · OJBM-cited
Every AI system documented, observable, and held to performance baselines in real time.
Model Cards Issued
12
100% coverage
Complete
Drift Alerts Q1
3
2 resolved · 1 active
Monitor
Avg Response Time
18h
Target: <24 hrs
Within SLA
Alert Fatigue Index
1.4×
Override ratio (target <2×)
Healthy
Drift Detection Alerts
⚠
Sepsis Prediction Tool
Accuracy −6.2%. Racial disparity breach at −14pt.
Active · 4d
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ED Triage Algorithm
Overnight shift cohort drift under investigation.
Monitor · 11d
✓
Readmission Risk Model
Resolved. Recalibrated. Within thresholds.
Resolved · 22d
Alert Fatigue — Override Ratio
Sepsis Prediction Tool2.1× ⚠
ED Triage Algorithm1.7×
Medication Interaction Alert1.4×
Imaging Anomaly Detector1.1×
Readmission Risk Model0.9×
Operations Pillar
Equity, Metrics & Enforcement
Performance standards, improvement loops, and enforcement that transforms governance into strategic advantage.
Avg Model Accuracy
94%
All active systems
Healthy
Active Breaches
1
Sepsis — Race subgroup
Action Required
PDSA Cycles Active
2
Sepsis & ED Triage
Running
Ops Maturity
2/5
Operations pillar score
Developing
10-Point Equity Monitor — Sepsis Tool
Race
−14pt ⚠
Sex
−4pt
Age 65+
−8pt
Age <18
−2pt
Medicaid
−5pt
Uninsured
−7pt
Enforcement Status
✓
10-pt Disparity Standard Documented
Formal policy enacted. All high-risk AI subject to mandatory subgroup analysis.
✓
24-Hour Breach Response Pathway
Auto-alert routes to Executive Sponsor. Go/No-Go decision documented.
◑
PDSA Cycles — All High-Risk AI
2 of 3 systems active. Medication Interaction Alert pending.
○
Annual Board Maturity Report
Scheduled Q4 2026. Will include DVGCQ scores across all departments.
Live Scientific Algorithm · Dr. Vernette Grant · PPTO Framework
DVGCQ Score Calculator — Evidence-Based Edition
DVGCQ = (People × 0.50) + (Process × 0.25) + (Technology × 0.15) + (Operations × 0.10) · Open Journal of Business and Management, 14, 967–979
Assessment Details
How to Score Your Department
0-40 Critical: Role or tool completely absent. Immediate liability.
41-60 At-Risk: Exists informally. No documentation. Governance gap.
61-79 Developing: Active but incomplete. Missing key elements.
80-100 Compliant: Fully deployed, documented, and audit-ready.
Note: This is a self-assessment tool. For a verified DVGCQ score and board-ready certification, contact Vernette Grant Solutions LLC.
Input Department Scores
Adjust each criterion. The DVGCQ calculates in real time using the four PPTO pillars as defined in Dr. Grant's peer-reviewed framework. The 10% Equity Rule enforced: any demographic subgroup disparity > 10 points blocks deployment approval.
50%People — Oversight & Accountability
Equity Champions Present
80
Clinical AI Champions Active
75
Data Ethics Officers Designated
70
Broken Rung Remediated
65
25%Process — Lifecycle Governance
Five-Criterion Risk Rubric
72
RACI Accountability Active
85
AI Project Registry Current
90
15%Technology — Monitoring & Transparency
Bias Measurement Dashboard
68
Model Cards Deployed
100
LIME / SHAP Explainability
55
10%Operations — Response & Improvement
PDSA Cycles Active
70
Alert Fatigue Managed
58
Shadow AI Remediation Speed
55
0
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–
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PPTO Pillar Breakdown · Dr. Vernette Grant · OJBM (2026)
People (×0.50)
—
Process (×0.25)
—
Technology (×0.15)
—
Operations (×0.10)
—
Estimated Financial Exposure
$0
Adjust scores to calculate potential HIPAA / CMS liability exposure.
Detects unauthorized AI API calls and web-based LLMs operating outside your vetted tool registry. Each finding generates an Ethical Debt calculation and automated Mentoring Invitation.
Network Scan Console
--:--:--System ready. Press "Run Shadow AI Scan" to begin.
Detected Threats & Ethical Debt
No scan results yet. Run a scan to detect unauthorized AI tools.
The PPTO Framework — People, Process, Technology, Operations — is not a philosophy. It is a peer-reviewed, operationally tested governance architecture created by Dr. Vernette Grant and published in the Open Journal of Business and Management (2026). It transforms AI ethics from a compliance checkbox into a measurable revenue protection engine for hospital and health system leaders.
Peer-Reviewed Sources: Grant, V. and Levasseur, R. (2026). Translating AI Ethics into Hospital Operations: A PPTO Framework for Evidence-Based Governance. Open Journal of Business and Management, 14, 967–979. Grant, V. (2026). Ethical AI in Healthcare: A PPTO Governance Playbook for Hospital and Health System Leaders.
01
People — The 50% Pillar
The highest-weighted pillar because governance lives or dies with human accountability. Equity Champions, Clinical AI Champions, and Data Ethics Officers are not optional titles — they are the structural load-bearing walls of the DVGCQ. A "Broken Rung" alert fires when oversight is purely technical and lacks clinical or patient advocacy. Per the PPTO Framework, §PEOPLE.
02
Process — The 25% Pillar
The Formal Five-Criterion Risk-Tiering Rubric governs every AI project intake. The RACI Accountability Model eliminates diffuse responsibility — the single most common governance failure in hospital AI deployments. The AI Project Registry serves as the primary source of truth for demonstrating an effective compliance program to DOJ/OIG. Per 2026 Playbook, §236 and §759.
03
Technology — The 15% Pillar
Bias Measurement Dashboards, Model Cards, and Explainability Tools (LIME and SHAP) are mandatory infrastructure — not optional enhancements. Clinical staff must be able to interrogate AI outputs. Black-box algorithms that cannot be explained are a liability, not an asset. Per the PPTO Framework, §TECHNOLOGY and NIST AI RMF 1.0.
04
Operations — The 10% Pillar
The Monitoring-and-Response Loop closes the governance cycle. PDSA (Plan-Do-Study-Act) methodology drives continuous improvement — every disparity found becomes a documented remediation cycle. Alert Fatigue Protocol prevents "clinician tune-out" from high false-positive rates. Per 2026 Playbook, §306 and §309.
05
The 10% Equity Rule
Non-negotiable. No AI deployment may be approved if a performance disparity exceeds ten percentage points across any mandatory demographic subgroup — race, ethnicity, age, sex, or payer status. This is not a guideline. It is a hard stop encoded into the DVGCQ algorithm. Per Dr. Grant's PPTO Framework, §616 and 2026 Playbook, §95.
06
Two Case Studies
"University Medical Center" vs. "Community General Hospital" — illustrative composites used in Module B Leadership Calibration sessions. One deployed AI with a full PPTO governance structure and saved lives. The other deployed without it and faced regulatory action. Ethics is not the enemy of profit. The absence of ethics is. Per Dr. Grant (2026), §624 and §639.
Module B — Leadership Calibration Protocol
Every Mentoring Invitation generated by Module A triggers a structured Leadership Calibration session in the voice of Dr. Vernette Grant — doctoral, authoritative, and pragmatic. The session follows three evidence-based phases.
📖
Phase 1 — Doctoral Foundation
Every session opens with Dr. Grant's peer-reviewed PPTO Framework to establish the scientific basis for the intervention. This is not a policy memo. This is peer-reviewed governance science, and leaders are treated accordingly.
Dr. Vernette Grant (2026) · OJBM, 14, 967–979
🏥
Phase 2 — Case-Based Calibration
Leaders work through the "University Medical Center" vs. "Community General Hospital" composites. The contrast is unambiguous: robust PPTO governance separates life-saving innovation from preventable, documentable harm.
Dr. Grant (2026) · PPTO Framework · §624, §639
🪜
The Broken Rung
When the DVGCQ People score falls below 60 or the Broken Rung criterion flags, the platform identifies the specific missing role — Equity Champion, Clinical AI Champion, or Data Ethics Officer — and assigns remediation with a 30-day deadline.
2026 Playbook · §182, §188 · People Pillar
🎓
Phase 3 — Certification
Upon completion, the Certificate of Ethical Leadership is issued, signed by Dr. Vernette Grant, citing mastery of the PPTO Framework as established in the Open Journal of Business and Management. This certificate is audit-admissible.
All audit outputs cite current DOJ healthcare fraud enforcement priorities, including the Health Care Fraud Strike Forces and the National Fraud Enforcement Division. The AI Project Registry functions as the evidence base for demonstrating an effective compliance program under DOJ's Evaluation of Corporate Compliance Programs.
Platform aligns with CMS-4208-F (Medicare Advantage plans must publicly disclose AI/ML systems used in utilization management and conduct annual equity audits) and CMS-0057-F (2026 prior-authorization interoperability requirements). Clawback risk quantified per DVGCQ scoring.
CMS-4208-F · CMS-0057-F · AI Transparency
🌴
Florida AI-Readiness
No AHCA AI-specific requirements are currently in force — Florida's 2026 AI bills did not pass. The platform builds the auditability Florida providers are expected to need, with attention to existing constraints including the all-party-consent recording statute (Fla. Stat. §934.03, affects AI scribes) and EHR data localization (§408.051).
Fla. Stat. §934.03 · §408.051 · Audit-Ready
🍑
Georgia SB 544 — AI in Prior Authorization
Aligned with Georgia SB 544 (passed May 2026, effective January 1, 2027): health insurers may use AI in prior authorization but may not issue adverse determinations without review and approval by a licensed clinician. Regional reporting templates embedded in Module C output.
GA SB 544 · eff. 1/1/2027 · Clinician Review Required
🔬
NIST AI RMF 1.0 — Govern, Map, Measure, Manage
The PPTO Technology pillar (15% weight) maps directly to NIST AI RMF 1.0 safety standards (released January 2023), with the Generative AI Profile (NIST AI 600-1, July 2024) informing model transparency practices. Bias dashboards, Model Cards, and LIME/SHAP tools provide the evidence trail per §261 and §262 of the 2026 Playbook. All four NIST functions are addressed within the PPTO structure.
Module A calculates HIPAA fine exposure in real-time for every unauthorized AI tool detected. Built for the HIPAA Security Rule modernization (2025 NPRM: technology asset inventories explicitly covering AI systems, mandatory MFA and encryption) and aligned with FDA's January 2026 Clinical Decision Support guidance on when AI tools become regulated medical devices.
HIPAA NPRM (2025) · FDA CDS Guidance (2026)
Methodology Bibliography · Module C Required Citation
Peer-Reviewed Publications
Primary Citation — DVGCQ Algorithm Source
Grant, V. and Levasseur, R. (2026). Translating AI Ethics into Hospital Operations: A PPTO Framework for Evidence-Based Governance. Open Journal of Business and Management, 14, 967–979.
Grant, V. (2026). Ethical AI in Healthcare: A PPTO Governance Playbook for Hospital and Health System Leaders. Vernette Grant Solutions LLC.
All Module C Audit Reports include this bibliography as a required component of the Board-Ready evidence vault. These citations establish the scientific foundation for the "Active Oversight" Reasonable Care defense against DOJ/OIG scrutiny.
Get in Touch
Let's govern your AI — together.
Whether you're starting your governance journey, remediating a breach, or pitching DVGCQ to your Board — we're your partner in building AI infrastructure that protects patients and revenue.
🏢
Organization
Vernette Grant Solutions LLC
👤
Founder & Principal
Dr. Vernette Grant
🎯
Specialization
AI Governance · DVGCQ · Healthcare
🌴
Priority Markets
Florida Hospital Association · Georgia Hospital Association
Dr. Vernette Grant will be in touch within 1 business day.
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Platform Transparency
Demonstration Mode Disclosure
What you are seeing
This platform is shown in demonstration mode using illustrative composite data from Dr. Grant's research. All examples are fictional, not real organizational data.
A full DVGCQ implementation connects to your AI registry, network monitoring, HR/training systems, and vendor contracts — producing live scores, real breach alerts, and board-ready reports from your actual data.
In This Demonstration
◆DVGCQ Calculator with adjustable sliders showing how the algorithm works across all 4 PPTO pillars
◆Composite hospital AI registry based on documented real-world governance gaps from published research
◆Shadow AI Scanner simulation showing the scan, Ethical Debt calculation, and Mentoring Invitation workflow
◆Module C Audit Report showing board-ready format, bibliography, and regulatory citation structure
◆Financial exposure estimates calculated from published HIPAA fine schedules and CMS clawback precedents
In a Full Implementation
✓Live DVGCQ scores from your actual governance documentation, training records, and AI project registry
✓Real-time Shadow AI detection integrated with your network monitoring flagging actual unauthorized tools
✓Live 10% Equity Rule monitoring connected to your model performance data and demographic subgroup analysis
✓Board-ready audit reports with your organization name, actual DVGCQ scores, and verified bias mitigation log
✓Quarterly maturity score tracking with progress toward Level 3, 4, and 5 documented for your Board
Scientific Integrity Statement
The DVGCQ algorithm, PPTO Framework, and all governance standards displayed in this platform are drawn directly from peer-reviewed, published research. The formula, weighting, enforcement thresholds, and regulatory alignments are real and not invented for marketing purposes.
Grant, V. and Levasseur, R. (2026). Translating AI Ethics into Hospital Operations: A PPTO Framework for Evidence-Based Governance. Open Journal of Business and Management, 14, 967–979. Grant, V. (2026).Ethical AI in Healthcare: A PPTO Governance Playbook for Hospital and Health System Leaders. Vernette Grant Solutions LLC.