CASE STUDY

Project Sanctum

Raising the Standard for Patient Safety with Edge AI


THE PROBLEM

MANUAL INSPECTIONS MISS CONTAMINANTS A SAFER AND SMARTER OPERATION WAS NEEDED

 

A medical company partnered with Digineer to transform how hospitals inspect reusable endoscopes - shifting from a manual, error-prone process to a real-time, AI-powered solution that enhances patient safety, technician accuracy, and workflow efficiency.

 

  • THE BREAKTHROUGH

 

A proprietary computer vision model running directly on existing hospital hardware - no new machines, no network dependency - offering real-time detection of contaminants and damage inside delicate endoscope channels.

  •  

 

RESULTS | MICRO GAINS, MACRO IMPACT

· 42% of scopes in some studies showed contamination missed by human inspection

· 22% sepsis rates observed post-endoscopy in high-risk groups

· Immediate AI Feedback gives technicians the insight to prevent the preventable

 

THIS EDGE AI SOLUTION IS DESIGNED NOT JUST TO OPTIMIZE WORKFLOW, BUT TO SAVE LIVES.

STRATEGIC CONSULTING.
PRAGMATIC AI.
REAL RESULTS.

horizontal-shot-of-intersecting-refracted-blue-lig-2026-01-07-07-37-22-utc-1

THE CHALLENGE: A CRITICAL STEP WITH CRITICAL GAPS

In sterile processing departments across the country, technicians are tasked with ensuring endoscopes are contamination-free before use in patients. But the traditional inspection process, dependent on human judgment and manual borescopes, is flawed, and the risks are high.

KEY BARRIERS:

Subjective Inspections: Detecting internal damage or droplets is difficult, inconsistent, and often inaccurate.
Hardware Limitations: Hospitals operate with legacy laptops and unreliable Wi-Fi, making cloud-based AI solutions unrealistic.
AI Accessibility: Client needed an AI-powered system that could function in real time, at the point of care, without adding complexity or infrastructure costs.

The stakes couldn’t be higher: missed contamination can lead to life-threatening infections—including post-endoscopy sepsis in high-risk patients.

WHAT WE DELIVERED: PRAGMATIC AI, ENGINEERED FOR THE EDGE

Digineer deployed a real-time Edge AI solution designed to work within the constraints of hospital environments and exceed expectations.

Real-Time Computer Vision
• Developed a custom AI model that analyzes borescope video frames in real time
• Flags droplets, debris, and discoloration automatically
• Guides the technician’s eye to problem areas—eliminating guesswork

No New Hardware Required
• Built to run locally on existing hospital devices
• No dependency on high-performance computing or internet access
• Reliable performance even in low-bandwidth environments

Tangible Results
• Improved inspection speed and consistence
• Reduced contamination risk and post-procedure infection rates
• Reinforced technician confidence with verifiable, objective support

WHAT THIS MEANS: FROM CRITICAL GAP TO COMPETITIVE ADVANTAGE
The client didn’t just digitize a manual process - they redefined it. With Digineer’s Pragmatic AI approach, they turned a systemic weakness into a differentiator that sets a new industry standard for safety and accountability.

Because innovation is only meaningful when it works in the real world - under real constraints, for real people, delivering real results.

 

horizontal-shot-of-intersecting-refracted-blue-lig-2026-01-07-07-37-22-utc-1

DIGINEER

AI That Works Where It Matters Most

We build real-time systems that operate inside real-world constraints—improving accuracy, reducing risk, and supporting the people responsible for critical decisions.