AI in HealthTech: ECG Diagnosis in 40 Seconds and with 99.3% Accuracy
The company provides a complex cardiovascular information solution (CVIS). It offers fully integrated hemodynamic monitoring and ECG management.
- Duration6 months
- Team9 engineers
- Company SolutionCardiovascular Information Solution (CVIS)
- IndustryHealthtech
Project Goal
The client intended to enable seamless data exchange between ECG devices and hospital information systems, reduce diagnostic delays, and minimize human errors in interpreting ECG results.
The Challenge
Manual ECG Interpretation
All the ECG results had to be reviewed by physicians manually, which prolonged diagnosis time and increased the possibility of human error.No Standardization across Devices
The hospital network used different ECG machines from multiple vendors. Each of them possessed its own data format and communication protocol.Disconnected Hospital Systems
Patient data used to be scattered across multiple platforms, making it harder to maintain a unified source of truth and synchronize records.HIPAA Compliance Complexity
Any new system had to meet strict data privacy, access control, and audit requirements without compromising usability or speed.
Our Solution
To address the identified challenges, we involved a team of nine professionals, namely one Project Manager, two AI/Machine Learning Engineers, two Data Scientists, two Backend Developers, one Frontend Developer, and one QA Engineer.
What We Did
Automated Diagnosis Logic
Developed an automated diagnosis generation algorithm. It interprets ECG signals and outputs human-readable conclusions with high precision.
Seamless Device Integration
Integrated with a wide range of ECG machines commonly used in US hospitals, including Mortara, GE MAC5000, and other DICOM-compatible devices.
Full ECG Study Coverage
Built support for multiple ECG study types, such as Rest, Stress, and Holter, to ensure clinical versatility.
Smooth Data Exchange
Implemented HL7 interfaces. They enabled smooth patient data exchange across various hospital systems and networks.
Hands-Free Reporting
Eliminated repetitive data entry by designing a centralized CVIS platform. Owing to it, waveforms and procedural data now automatically fill out the final reports.
HIPAA Compliance
Embedded HIPAA-compliant workflows across all stages of diagnosis, data exchange, and storage.
Business Impact
01
High Diagnostic Accuracy
AI-powered diagnosis system minimized human error and achieved 99.3% accuracy.
02
50 Minutes to 40 Seconds
What used to take physicians 40 to 50 minutes now happens in under a minute, speeding up the diagnosis process.
03
Multi-Device Integration
Thanks to a variety of ECG machines and format integration, the system is now flexible and ready to grow with hospital needs.
Technologies Used
AI-Powered Diagnostics
Custom AI Algorithms
Medical Device Integration
DICOM Support
Mortara & GE MAC5000 Compatibility
Healthcare Data Interoperability
HL7 Interface
Compliance & Data Security
HIPAA-Compliant Architecture
Workflow Automation
Custom Backend Logic
Automated Report Population
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