HealthTech // Client Project

Clinical Trial Matching:
4x Faster.

We built a practical HealthTech solution combining secure clinical search, automated patient matching, and clear audit trail. The project delivered 4x Enrollment Speed and 65% Fewer Screen Failures.

Key Results RESULTS
4x
Enrollment Speed
Manual Sifting
65%
Screen Failures ↓
ROI: 14 Weeks
100%
HIPAA Gated
Patient health information SECURE

Trusted by teams building ambitious products

What We Set Out to Improve.

Industry
HealthTech

Global oncology research network managing 50+ concurrent trials across diverse EHR environments.

How We Worked
Dedicated product team

Bio-ML Architect + 2 Data Engineers + HIPAA Compliance Lead embedded with Clinical Ops.

Goal
Trial Speed & Patient Access

Eliminating manual chart reviews to connect high-need patients with life-saving trials in live use use use use use use.

What We Built
AI-powered Language AI system

A practical solution designed around the client’s existing tools, teams, and day-to-day workflow.

What Was Getting in the Way.

The client’s oncology research arm struggled with Data Paralysis. Inclusion and exclusion criteria for trials were trapped in complex PDFs, while patient data lived in unstructured clinician notes across 14 disconnected EHR systems.

The biggest issues were trial stall, day-to-day burn, and screen-fail waste. The team needed a faster, clearer way to manage the work while keeping the right checks in place.

Trial Stall
Under-enrollment threatened trial viability, delaying the path to market for breakthrough therapies.
Day-to-day Burn
Research staff spent 70% of their time on administrative data entry rather than patient-facing care.
Screen-Fail Waste
Inaccreate manual matching led to high screen-failure rates at the site level, wasting expensive laboratory resources.
The Solution

What We Built.

01
Secure Clinical Search
Automated a secure workflow using Medical Entity Recognition (MER) to extract TNM staging, biomarkers, and ECOG scores from clinical notes.
Key details
Privacy Patient health information Anonymized
Model Medical LLM
Standards Health-Record Standard
02
Automated Patient Matching
Mapped extracted patient profiles against trial protocols using an AI-powered knowledge graph to identify high-probability matches.
Key details
Type AI Assisted
Logic Protocol Mapped
Audit Lineage Tracked
03
Clear Audit Trail
Generated explainable Matching Justifications for every patient, providing clinicians with clear evidence for enrollment recommendations.
Key details
Compliance HIPAA GATED
Standard Secure by Design
Trace Traceable Data
Before and After

How the Workflow Improved.

Area
Before
After
Data Processing

Human Review

Analysts reading through thousands of clinical notes per month.

Automated Parsing

Live extraction of oncology biomarkers from unstructured text.

Privacy Gate

Policy-Based

Using internal staff training to prevent Patient health information leakage during review.

Hard-Coded

Automated Removal of unnecessary patient data and HIPAA-compliant storage at the system level.

Matching Time

12-14 Days

response time between patient diagnosis and trial recommendation.

Sub-Minute

Near-instant matching notifications delivered via secure EHR alerts.

Key Features

What Made the Solution Useful.

AI Assisted

Automated Protocol Prioritization

The system earlyly alerts investigators when a new trial protocol perfectly aligns with a patient currently in the system.

Business impact
92% Matching Accuracy
HIPAA GATED

Controlled-access Patient health information Fabric

Ensured all data processing occurred in transient, memory-only environments to eliminate persistent data risk.

Business impact
100% Compliance Audit
Live Updates

Live Enrollment Alerts

Live data updates trigger clinical coordinator alerts the moment an EHR update meets a trial requirement.

Business impact
4x Enrollment Speed
Faster Delivery

How We Reduced Build Time.

Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.

What accelerated the work

4 reusable building blocks
01

Medical Privacy Module

A tested starting point for medical privacy module reduced repeated setup work.

02

Bio-Data Collection Module

Reusable work for bio-data collection module let the team focus more time on the client’s specific needs.

03

Clinical Monitoring Platform

This made it easier to add clinical monitoring platform without rebuilding common foundations.

04

Oncology Feature Module

A tested starting point for oncology feature module reduced repeated setup work.

Results

The Business Difference.

A straightforward before-and-after view of what changed for the team and their customers.

RESULT: SPEED01

Enrollment Timeframe

AI-powered matching removed manual slowdowns, reducing the Diagnosis-to-Trial window significantly.

Older BaselineManual
Coretus Platform400% Faster
Outcome4x Less Matching Speed
RESULT: Accuracy02

Screen Failure Suppression

Automated data verification ensured only patients meeting 100% of criteria reached the lab phase.

BeforeError-Prone
After65% Lower
Outcome65% Screen Failures
RESULT: RELIABILITY03

Inference Response Time

The Language AI system processes thousands of medical notes per second without impacting clinical workstation performance.

Target< 2s
Coretus400ms
Outcome400ms Inference
Results4x Less Matching Speed • 65% Screen Failures
Trust and Control

How We Kept It Safe and Reliable.

01
Data Privacy
All workflows operate within the client’s private cloud environment, ensuring zero external data leakage.
HIPAA GATED
02
Model Transparency
Matching decisions include SHAP justifications and citations to original source clinical notes.
VERIFIABLE DATA
03
System Security
SOC2-compliant Cloud system automation with automated vulnerability patching for medical edge devices.
Business SECURE
04
Code and IP Ownership
Coretus provides 100% IP ownership of oncology knowledge graphs and fine-tuned Language-model settings.
100% OWNED
Client Testimonial

In their own words.

Coretus didn't just build a tool. they built a life-saving speed engine . We are matching patients to trials 4x faster, providing treatments to those who literally cannot afford to wait.

Turn Patient Data into Clinical Speed.

Have a similar challenge? We can help you plan and build a practical HealthTech solution around your goals, budget, and existing systems.

HIPAA & Patient health information Secure

AI-powered Language AI Automation

100% Model Ownership