HealthTech // Client Project

Health Records:
One Connected View of Patient Data.

We built a practical HealthTech solution combining health-record standardization, automatic data updates, and consistent patient matching. The project delivered 100% Record Consistency and 85% Response Time Reduction.

Key Results RESULTS
100%
Record Consistency
Health-Record Standard
85%
Response time Reduction
ROI: 14 Weeks
Zero
Data Leaks
Patient health information ENCRYPTED

Trusted by teams building ambitious products

What We Set Out to Improve.

Industry
HealthTech

Regional health provider with 14 clinical sites using diverse, uncoupled older EHR versions.

How We Worked
Dedicated product team

Health-IT Architect + Live data service Engineers + HIPAA Compliance Lead embedded within Clinical Informatics.

Goal
Interoperability & Data Integrity

Standardizing different HL7 v2 streams into a unified Health-Record Standard Connected Data Platform for cross-site coordination.

What We Built
Interoperability Fabric

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

What Was Getting in the Way.

The client suffered from Data Silo Paralysis. Each clinical site operated an isolated older EHR (Epic, Cerner, and custom SQL databases), making it impossible for clinicians to view a patient’s comprehensive medical history in live use use use use use use. Patient matching was performed manually, leading to disconnected records.

The biggest issues were patient safety risk, day-to-day waste, and compliance burden. The team needed a faster, clearer way to manage the work while keeping the right checks in place.

Patient Safety Risk
Disconnected allergy and medication lists across sites created high potential for preventable adverse drug events.
Day-to-day Waste
Duplicate diagnostic testing due to inaccessible records cost the system an estimated $2.4M annually.
Compliance burden
Older systems lacked unified logging, making 21 CFR Part 11 and HIPAA audits labor-intensive and error-prone.
The Solution

What We Built.

01
Health-Record Standardization
Introduced a transformation layer that maps older HL7 v2 and SQL data into a shared health-record format at the point of data collection.
Key details
Standard Health-Record Standard
Inbound HL7 v2/Mllp
Mapping Jolt Transform
02
Automatic Data Updates
Automated a reliable live data system to distribute clinical events (Admissions, Lab Results, Med Orders) across all sites with sub-second response time.
Key details
Backbone Live data service/Cloud system
Availability Multi-Zone
Throughput 10k Msg/Sec
03
Consistent Patient Matching
Added a Master Patient Index (MPI) that uses consistent matching algorithms to resolve identities across systems before record merging.
Key details
Accuracy 99.9% Match
Audit HIPAA GATED
Persistence Encrypted Store
Before and After

How the Workflow Improved.

Area
Before
After
Data Model

Disconnected HL7

Non-standard schemas required custom code for every new system integration.

Unified Health-Record

Standardized R4 resources ensure instant compatibility for any Health-record compatible application.

Privacy

Localized Access

Privacy controls were restricted to individual EHR separate systems. no unified Patient health information tracking.

Shared Controls

Global HIPAA-compliant access controls with secure and traceable trails for every data request.

Response Time

Batch Transfers

Patient data often delayed by 4-24 hours during site transfers.

Live Streams

Clinical events propagated across the entire system in < 500ms.

Key Features

What Made the Solution Useful.

Live Updates

Clinical Event Sourcing

Transactions are treated as secure and traceable events, allowing for time-travel debugging and perfect historical clinical auditing.

Business impact
Zero Inconsistent Data
HIPAA GATED

Dynamic Patient health information Redaction

Automated redaction engines filter Patient health information from streams based on user-role permissions, enabling secure data access for research.

Business impact
100% Regulatory Alignment
Ready to Grow

Scale-to-Zero Adapters

Containerized EHR adapters scale based on message volume, optimizing cloud spend during low-activity night shifts.

Business impact
30% Infra Cost Savings
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

HIPAA Auth Module

A tested starting point for hipaa auth module reduced repeated setup work.

02

Health-Record Transformation Module

Reusable work for health-record transformation module let the team focus more time on the client’s specific needs.

03

Interop Monitoring Platform

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

04

Data control and residency Module

A tested starting point for data control and residency 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: INTEROPERABILITY01

Data Standardization Rate

Unified 14 different data sources into a single schema without a single record rejection.

Older Separate systems0% Std
Coretus Platform100% Std
Outcome100% Record Consistency
RESULT: SPEED02

Integration Speed

Reduced the time required to onboard new clinical sites from months to days.

Older HL712 Weeks
Health-Record System2 Weeks
Outcome6x Faster Onboarding
RESULT: COMPLIANCE03

Patient Data Access Time

Live auditing and redaction enabled faster access for authorized clinicians while maintaining security.

Manual LogHours
Auto Gate< 50ms
Outcome85% Data Access Response Time
Results100% Record Consistency • 6x Faster Onboarding
Trust and Control

How We Kept It Safe and Reliable.

01
Data Privacy
Multi-region AWS residency ensures all Patient health information remains within specified regulatory boundaries.
HIPAA COMPLIANT
02
Encryption Standards
AES-256 at-rest and TLS 1.3 in-transit encryption applied across the entire Live data system.
VERIFIABLE DATA
03
Reliability Benchmarks
Cloud-based self-healing clusters maintain 99.99% availability for critical lab results.
ZERO DOWNTIME
04
Code and IP Ownership
Coretus provides 100% ownership of Health-record adapters and transformation logic upon completion.
100% OWNED
Client Testimonial

In their own words.

Coretus didnt just connect our systems. they built an Interoperability Fabric that finally gave our doctors a unified patient view. Weve eliminated separate data sources that existed for decades and did so without a single minute of system downtime.

Solve Separate data sources with Accuracy.

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

HIPAA-compliant Connected Data Platform

Health-Record Standard Standard Ready

100% Source Ownership