Dr. Perry M. Brunette, Ph.D. | PathFree Technologies
drperryphd.com — Expert-trained decision support for Code Blue
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Leadership in Healthcare Innovation

Dr. Perry M. Brunette, Ph.D.

Dr. Perry M. Brunette, Ph.D., is a visionary leader driving transformative advancements in healthcare through artificial intelligence. With a Ph.D. in Business Administration from California Regency University (2019) and a distinguished role as a Board of Directors member, Dr. Brunette combines academic rigor with practical innovation. As the founder of PathFree Technologies, he spearheads groundbreaking AI solutions that address critical healthcare challenges, from emergency response to cognitive care.

Pioneering AI for Healthcare

“At PathFree Technologies, we don’t just adopt technology—we redefine how it serves humanity. Our mission is to save lives and enhance well-being through intelligent, compassionate systems.”

Under Dr. Brunette’s leadership, PathFree has developed AIMediQ™, the world’s first AI-powered Code Cart, and datasyteAI, a platform that enhances clinical decision-making during Code Blue events. By leveraging AI, machine learning, and natural language processing, Dr. Brunette is reshaping the future of healthcare delivery.

— Dr. Perry M. Brunette, Ph.D.

AI for Code Blue

AIMediQ™ & datasyteAI: Transforming Emergency Response

datasyteAI, developed under Dr. Brunette’s guidance, adapts to your hospital’s protocols and expert preferences. With clinician-in-the-loop training, it provides real-time guidance, timing cues, and documentation prompts, modeled after how your top performers lead a code.

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Key Benefits of AIMediQ™

From faster decisions to stronger safeguards—why AIMediQ™ powered by datasyteAI™ stands apart.

💡 Smarter Response

Step-by-step AI guidance replicating top medical professionals’ decisions under pressure.

⚡ Faster Outcomes

Reduces delays in defibrillation, medication dosing, and airway management during Code Blue events.

🔒 Quantum Security

Preparing for Q-Day with a roadmap toward quantum-resistant cryptography.

How datasyteAI Works

Built for clarity under pressure—assist the code leader, support the team, and produce a clean record of care.

01 Initiate — Start in seconds

Launch a Code Blue session fast. Timers and prompts align with your local pathway from the first tap.

02 Guide — Context-aware prompts

Cadenced cues for compressions, rhythm checks, meds, and airway—sequenced how your experts run a code.

03 Document — Auto-captured timeline

Actions and timestamps are captured for accurate review, QI, and EMR-ready export.

Train to Your Experts

Mimic your best clinicians with expert-curated exemplars and protocol alignment.

  • Local drug/airway preferences modeled
  • Escalation & consult triggers captured
  • Role-specific prompts (leader, compressor, recorder)

What Improves with datasyteAI

Consistency that reflects your best practice—without adding noise.

What is a Code Blue?

A quick explainer to align stakeholders on the scenario datasyteAI supports.

The Problem

According to Henry Ford Medical Center: Sudden cardiac arrest is a medical emergency caused by an unexpected loss of heart function, breathing, and consciousness. Unlike a heart attack, where the heart may continue beating, sudden cardiac arrest stops the heart entirely. Without immediate response, brain damage or death can occur within minutes.

One of the leading causes of death among American adults is sudden cardiac arrest, with ~650,000 incidents per year, 80% of which are fatal. The challenge is time and execution. Every second counts.

The PathFree Solution — AIMediQ™

The world’s first AI-powered Code Cart, powered by datasyteAI.

  • Real-time guidance aligned to local protocols
  • Automated timing & prompts for critical steps
  • Documentation capture for QA and EMR export
  • Hardware + AI in one patented platform

Product & Technology Overview

  • AI-Driven Decision Support: Real-time ACLS protocol guidance with rhythm interpretation, timers, and adaptive prompts.
  • Real-Time Dosing & Safety Checks: Immediate calculation/verification of critical medications tailored to patient parameters.
  • Digital Documentation: Built-in scribe reduces administrative burden with instant updates.
  • Intelligent Cart Interface: Interactive displays, audio-visual prompts, automated drawer control, inventory management.
  • Data & Integration Layer: Connects with defibrillators, monitors, and EHRs; HIPAA-aligned and secure.
  • Continuous Learning: Improves with every use + simulation mode for training and drills.

Competition

Fragmented tools vs. unified, intelligent resuscitation.

Passive

Carts today = storage, no intelligence

Device-Only

Diagnostics don’t run workflows

Point AI

Imaging/stroke ≠ Code Blue

AIMediQ™

Hardware + AI + workflow

0+

US cardiac arrests / year

0%

Out-of-hospital fatality rate

0k

Code carts in US hospitals

0B

Global AI healthcare market

Market Opportunity

Every acute-care hospital relies on code carts. With ~50,000 in the U.S. alone—and none offering embedded intelligence—the opportunity is enormous. Ambulatory surgical centers, urgent care, and EMS expand the market further.

PathFree targets a fast-emerging category: intelligent resuscitation systems.

Business Model & Financial Strategy

  • Hardware Sales: AIMediQ units priced at ~$20,000 each with strong margins.
  • SaaS Subscriptions: Annual subscriptions for datasyteAI™ updates, analytics, and support.
  • Service & Maintenance: Long-term contracts ensuring recurring revenue and retention.

PathFree has secured $914,750 in pre-seed funding and is raising $5M in Series A for FDA clearance finalization, manufacturing scale-up, and market expansion.

Hospital-grade Guardrails & Quantum Security

Designed for healthcare environments and data stewardship—now adding quantum-resistant protection (in progress).

Privacy & Access

Role-based access controls and audit trails. Identifiers minimized by design in event logs.

Validation before Go-live

Retrospective case testing, SME sign-off, versioned releases, and rollback path for safe adoption.

Standards-friendly Export

Structured output designed to flow into quality pipelines and downstream records.

Quantum-resistant (in progress)

  • Modern TLS with PQC hybrids planned for data in transit
  • PQC-ready key management & signing workflows
  • Defense-in-depth alongside current encryption controls

*Forward-looking statement; availability/scope depend on regulatory guidance and partner readiness.

AI Challenges

Navigating the pitfalls of AI adoption with discipline and strategy.

The Corporate Exuberance Problem

AI itself is not the issue. In fact, it’s one of the most powerful computing evolutions humanity has ever created. The problem is how companies are approaching it. Instead of leveraging AI’s unique strengths—reasoning, generative design, pattern recognition, and conversational fluency—organizations are attempting to bolt it onto legacy workflows. This is the equivalent of strapping a jet engine to a horse cart.

The Hammer vs. Screwdriver Trap

AI is not a hammer to smash every problem. It’s more like a precision screwdriver—ideal for tasks requiring insight and adaptability. Yet most companies treat AI as a universal tool. No chatbot can fix a broken customer service chain still tied to outdated approvals. Without restructuring workflows, AI simply accelerates inefficiency.

Corporate Exuberance on Display

  • Overpaying for Talent: Meta offered a young AI researcher $250M, echoing the dot-com craze of “Chief Internet Officers.”
  • Inflated Valuations: Nvidia, Microsoft, and Palantir trade at sky-high multiples disconnected from current profits.
  • Cash-Burning Startups: Many “AI-powered” companies fail to solve real problems while burning through capital.

The Risk of Scaling Broken Systems

  • A biased loan system will reject more applicants, faster.
  • A fragile supply chain could collapse under flawed “optimization.”
  • Inefficient workflows only grow costlier at scale.

How Business Leaders Must Rethink AI

  1. Identify high-value use cases with measurable outcomes.
  2. Redesign workflows around AI’s strengths, not legacy processes.
  3. Establish clear KPIs and track adoption metrics relentlessly.
  4. Commit leadership and cultural alignment—not just tech deployment.

Avoiding Another AI Winter

History reminds us of cycles of overhype and collapse: the 1970s AI winter when funding dried up, and the 1990s expert systems crash when promises failed to materialize. Today, the danger isn’t AI’s capability—it’s misuse. Another AI winter would stall progress and damage trust.

A Balanced Path Forward

AI’s future is still bright. Properly applied, it can revolutionize industries. But only disciplined, intentional companies will thrive. The rest will waste capital and credibility.

Problems to Avoid

Alan Greenspan once warned us about “irrational exuberance” during the dot-com boom and housing bubbles—today, we’re seeing it again with artificial intelligence. The problem is corporate exuberance: companies force AI into outdated models, like strapping a jet engine to a horse cart. 95% of generative AI pilots fail, per MIT, because executives chase hype without strategy. AI amplifies flaws—biased systems reject faster, shaky supply chains collapse, and inefficiencies scale. Leaders must pinpoint high-value use cases, redesign workflows, set clear KPIs, and drive cultural change. Without discipline, we risk another AI winter, like the 1970s and 1990s, stalling progress. But with care, AI can reshape industries—those who wield it like a precision screwdriver will lead, while others crash their horse carts.

Frequently Asked Questions

What is corporate AI exuberance?

It’s when businesses overhype AI and force it into outdated systems without real strategy.

Why do most AI pilot projects fail?

Because companies fail to redesign workflows, set clear KPIs, and support cultural transformation.

What is the risk of misusing AI?

AI can magnify flaws—biased systems, fragile supply chains, and inefficient workflows.

How can leaders use AI effectively?

By focusing on measurable use cases, redesigning processes, setting KPIs, and driving cultural change.

What is an AI winter?

A collapse in funding and trust when overhype outpaces reality—seen in the 1970s and 1990s.

Discover AI Solutions Without the Hype

At PathFree Technologies, we build AI systems designed for measurable impact in healthcare and beyond.

Explore DataSyte AI Solutions

Ready to see datasyteAI + AIMediQ™ in action?

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