The Audit

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filler@godaddy.com

Account

What This Audit Covers

Clinical & Operational Risk Review

We assess where AI interacts with clinical workflows, patient safety, documentation, and decision-making — identifying areas where automation may introduce risk or reduce quality of care.

Pharmacy & Medication-Use Safety

We evaluate medication workflows, prescribing, verification, dispensing, and monitoring processes to identify AI-related risks, error amplification, and inappropriate automation.

Data Governance & Regulatory Readiness

We assess how patient data is collected, processed, and governed, including HIPAA exposure, auditability, consent boundaries, and vendor risk.

Operational ROI & Cost Reality

We identify where AI can realistically reduce cost or burden — and where projected ROI is overstated or structurally unsound.

Organizational Readiness

We evaluate leadership alignment, clinical acceptance, staffing impact, and change-management risk — the most common cause of AI failure in healthcare.

How the Audit Works

A structured, clinical-first approach designed for healthcare decision-makers

Our audit follows a disciplined, healthcare-safe process focused on clarity, risk reduction, and executive decision support — not technology hype.

1. Intake & Context Review

We begin with a focused intake to understand your organization’s clinical environment, operational priorities, regulatory exposure, and current or proposed AI use cases.

2. Workflow & Risk Mapping

We examine where AI interacts with clinical workflows, medication-use processes, documentation, and decision-making — identifying points of risk, fragility, or misalignment.

3. Clinical, Data & Regulatory Review

We assess patient safety implications, data governance practices, HIPAA exposure, vendor risk, and regulatory readiness across affected workflows.

4. Executive Findings & Decision Guidance

You receive a clear, executive-ready summary outlining where AI is appropriate, where it introduces unacceptable risk, and where initiatives should be paused, redesigned, or avoided.

Participants in the Audit

This audit is designed for healthcare leaders accountable for clinical safety, regulatory compliance, and operational decision-making, including:

• Hospital and health system executives

• Clinical leadership (CMO, CMIO, Nursing leadership)

• Pharmacy leadership and medication safety teams

• Compliance, risk, and quality departments

• Health IT and digital transformation leaders

This is not a technology sales engagement. It is an independent, clinical-first

assessment designed to support safe, informed decisions.

What This Audit Is NOT

This audit is intentionally designed to be independent, objective, and clinically grounded. It is not:

❌ A technology or AI vendor sales pitch
❌ An implementation or software deployment engagement
❌ A marketing or “AI strategy” hype exercise
❌ A commitment to proceed with automation or AI tools
❌ A replacement for clinical judgment or governance processes

This assessment exists to help leaders pause, evaluate, and decide responsibly — before

investing capital, changing workflows, or introducing risk into clinical environments.

What You Receive

At the conclusion of the audit, your organization receives clear, executive-ready outputs designed to support informed decision-making:

Executive Summary Brief
A concise, leadership-level overview highlighting where AI is appropriate, where it introduces unacceptable risk, and where initiatives should pause, proceed cautiously, or be avoided.
Clinical & Operational Risk Map
Identification of workflows, medication-use processes, documentation, and decision points where AI interaction may affect patient safety, compliance, or care quality.
Regulatory & Data Governance Findings
Assessment of HIPAA exposure, data handling practices, auditability, consent boundaries, and vendor-related risks.
ROI Reality Check
An objective view of where AI may realistically reduce burden or cost — and where projected ROI is overstated or structurally unsound.
Decision Guidance (No Vendor Bias)
Clear, independent guidance to support leadership decisions — without implementation pressure or technology sales incentives.

How the Audit Works

The audit follows a disciplined, clinical-first process designed to minimize disruption while delivering clarity.

1. Intake & Context Review
We begin with a focused intake to understand your organization’s clinical environment, operational priorities, regulatory exposure, and current or proposed AI use cases.

2. Workflow & Risk Mapping
We examine where AI interacts with clinical workflows, medication-use processes, documentation, and decision-making — identifying points of risk, fragility, or misalignment.

3. Clinical, Data & Regulatory Review
We assess patient safety implications, data governance practices, HIPAA exposure, vendor risk, and regulatory readiness across affected workflows.

4. Executive Findings & Decision Guidance
You receive a clear, executive-ready summary outlining where AI is appropriate, where it introduces unacceptable risk, and where initiatives should proceed, pause, or be avoided.

Time, Effort & What’s Required from You

The audit is designed to minimize operational disruption while providing meaningful clarity.

Timeframe
Most audits are completed within 2–4 weeks, depending on organizational size and scope.

Leadership Involvement
Engagement is typically limited to:

One initial intake discussion (60–90 minutes)
Targeted follow-up clarification, as needed
Final executive findings review

Operational Impact
No workflow changes, system access, or data migrations are required.
The audit does not involve shadowing clinicians or interrupting patient care.

Internal Resources Required

You may be asked to share:

High-level workflow descriptions
Existing policies or governance documentation
Information on current or proposed AI-enabled tools

This process is designed to respect clinical time and executive bandwidth.

Why This Approach Is Different

Most AI initiatives in healthcare fail not because of technology — but because risk, workflow, and clinical reality are assessed too late.

This audit is different by design:

Clinically grounded
Led by healthcare experience, not software vendors or implementation teams.
Independent and vendor-neutral
No incentives tied to tools, platforms, or automation decisions.
Risk-first, not ROI-first
Patient safety, compliance, and clinical integrity are evaluated before efficiency claims.
Executive-ready outputs
Findings are delivered in a format suitable for leadership, governance committees, and board discussions.
Designed to support restraint when appropriate
The right decision may be to pause, redesign, or decline AI adoption — and this audit supports that outcome.

This is a decision-support assessment, not a sales engagement.

Healthcare AI Readiness & Risk Audit

What This Audit Covers

Clinical & Operational Risk Review

Pharmacy & Medication-Use Safety

Data Governance & Regulatory Readiness

Operational ROI & Cost Reality

Organizational Readiness

How the Audit Works

A structured, clinical-first approach designed for healthcare decision-makers

Ready to Make a Safe AI Decision?

Request a Healthcare AI Readiness & Risk Audit

Participants in the Audit

What This Audit Is NOT

What You Receive

How the Audit Works

Time, Effort & What’s Required from You

Why This Approach Is Different

Ready to Make a Safe AI Decision?

Request a Healthcare AI Readiness & Risk Audit

Healthcare AI Readiness & Risk Audit

What This Audit Covers

Clinical & Operational Risk Review

Pharmacy & Medication-Use Safety

Data Governance & Regulatory Readiness

Operational ROI & Cost Reality

Organizational Readiness

How the Audit Works

A structured, clinical-first approach designed for healthcare decision-makers

Ready to Make a Safe AI Decision?

Request a Healthcare AI Readiness & Risk Audit

Participants in the Audit

What This Audit Is NOT

What You Receive

How the Audit Works

Time, Effort & What’s Required from You

Why This Approach Is Different

Ready to Make a Safe AI Decision?

Request a Healthcare AI Readiness & Risk Audit

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