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AI-Powered ECG Analysis Platform for Intelligent ECG Screening & Clinical Decision Support

Plavno developed an AI-powered ECG analysis platform that helps healthcare organizations process ECG studies faster, detect potential abnormalities, and provide structured diagnostic support to clinicians.

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Overview

Key Metrics & Impact

The platform was designed as a scalable AI module for integration into HIMS, EHR/EMR systems, telemedicine platforms, diagnostic portals, and cloud healthcare environments. It ingests ECG files or signals, preprocesses and normalizes them, applies AI analysis, identifies suspicious patterns, generates structured reports, and returns results to clinicians through existing medical interfaces.

  • Faster processing of ECG studies across high-volume healthcare environments.

  • Better support for physicians interpreting large numbers of ECG recordings.

  • Lower risk of missing anomalies during primary ECG screening.

  • Better standardization of first-line ECG interpretation.

  • Stronger access to cardiology support in remote and underserved regions.

Solutions
Challenges
Use Cases
Key Metrics & Impact
01

Problem

ECG interpretation is one of the most common but also one of the most demanding diagnostic workflows in medicine. Even with modern devices, clinicians face high workloads, large ECG volumes, risk of missed anomalies, differences in experience levels, and limited access to cardiologists in remote areas. Existing device-generated reports are often not reliable enough for real clinical practice.

The client needed an independent AI layer that could:


  • Improve interpretation speed and consistency

  • Help clinicians identify potentially abnormal ECG studies more quickly

  • Reduce the impact of human factors

  • Standardize the quality of primary ECG screening


Without a unified intelligence layer, customer success teams struggled to act early and consistently.

Problem
02

Challenge

The platform needed to:


  • Ingest ECG files or signals from devices and medical systems

  • Preprocess and normalize incoming ECG data

  • Support multi-channel ECG analysis

  • Detect pathological patterns with AI models

  • Generate structured AI-assisted reports

  • Integrate into healthcare infrastructure without disrupting existing workflows


There were also important implementation constraints:


  • The system had to support historical review and repeated ECG analysis

  • It needed to work in HIMS, telemedicine, diagnostic, and cloud-health environments

  • The architecture had to remain scalable and secure for medical data handling

  • The AI module had to provide decision support without replacing physician judgment

Challenge

Solution

AI-Powered ECG Analysis Platform

Automating First-Line Interpretation with Structured Clinical Outputs and Seamless Integration.

Product Highlights

    • AI analysis of multi-channel ECG data.

    • Automated first-line ECG screening for arrhythmias, conduction disorders, ST/T changes, and other suspicious cardiac patterns.

    • Structured AI-generated reports with summaries, anomaly findings, confidence level, and technical details.

    • Upload, re-analysis, storage, and longitudinal comparison of ECG studies.

    • Integration with HIMS, EHR/EMR, telemedicine, diagnostic portals, and cloud healthcare services.

    • API support for AI analysis launch, result retrieval, report transfer, and metadata/history storage.

    • Scalable AI inference pipeline for enterprise healthcare deployment.

User Flows

    • Ingest ECG Data: The platform receives ECG files or signals from medical systems or devices.

    • Preprocess & Normalize: ECG data is cleaned, normalized, and prepared for AI inference.

    • Analyze & Detect: AI models evaluate the ECG, detect suspicious patterns, and produce structured anomaly outputs with confidence indicators.

    • Review & Compare: Clinicians receive structured reports inside their medical system, while historical ECGs can be reviewed and compared over time for longitudinal monitoring.

Experience & Scalability

    • Supports clinics, hospitals, cardiology centers, telemedicine services, diagnostic labs, mobile healthcare platforms, and remote medical points.

    • Works as an AI module inside broader healthcare ecosystems.

    • Handles high study volumes with scalable inference architecture.

    • Improves accessibility of cardiology diagnostics in resource-constrained settings.

    • Creates a reusable base for broader AI-assisted cardiology product development.

Architecture Overview

Deep Dive: Project Architecture

  • ECG Ingestion Layer: The platform accepts ECG signals and files from connected devices or healthcare platforms.

  • Preprocessing Layer: Signal normalization and preprocessing prepare the ECG for consistent AI inference.

  • AI Inference Layer: Machine learning models analyze ECG data, detect pathological patterns, and estimate anomaly probability.

  • Reporting Layer: The system generates structured AI reports with summaries, findings, confidence levels, and technical ECG details.

  • History & Comparison Layer: Historical ECG studies are stored, reanalyzed, and compared over time for longitudinal monitoring.

  • Integration Layer: APIs support report delivery, result retrieval, metadata storage, and integration into HIMS, EHR/EMR, telemedicine, and cloud healthcare systems.

Deep Dive: Project Architecture

Value

Quality & Fidelity

Delivering faster ECG screening, stronger anomaly detection support, and more reliable structured cardiology workflows

Better Screening Efficiency

Better Screening Efficiency

The platform accelerates the first layer of ECG review across large study volumes.

ECG screening
Workflow speed
Clinical efficiency
MVP
MVP
Better Anomaly Visibility

Better Anomaly Visibility

AI highlights suspicious cardiac patterns and helps clinicians find high-risk studies sooner.

Anomaly detection
Cardiology AI
Confidence scoring
MVP
MVP
Better Report Structure

Better Report Structure

Clinicians receive structured outputs rather than only raw waveforms or generic device reports.

Structured reports
Decision support
Report generation
MVP
MVP
Better Longitudinal Monitoring

Better Longitudinal Monitoring

The platform supports repeated analysis and comparison of ECG studies over time.

Longitudinal monitoring
ECG history
Comparative review
MVP
MVP

Benchmarks

Scale & Reliability

Built to support high ECG volumes, enterprise healthcare integration, and scalable AI cardiology workflows

High-Volume Study Handling

High-Volume Study Handling

The platform supports rapid processing of large numbers of ECG studies.

Study volume
Screening scale
Clinical throughput
Enterprise Integration Readiness

Enterprise Integration Readiness

The solution is built to work inside HIMS, EHR/EMR, telemedicine, and diagnostic systems.

HIMS
EHR/EMR
Diagnostic platform integration
Secure Medical Architecture

Secure Medical Architecture

The architecture was designed around secure handling of healthcare data and enterprise integration.

Medical data security
Enterprise healthcare
Secure infrastructure
Expandable AI Functionality

Expandable AI Functionality

The platform is designed for future development of broader AI-assisted cardiology features.

AI cardiology
Scalability
Product expansion

Data Protection

Security & Compliance

Enterprise-grade protection for ECG studies, clinical reports, and medical system integrations

Secure Study Handling

Secure Study Handling

ECG files, reports, metadata, and patient study history are processed inside a healthcare-grade architecture.

Controlled API Integration

Controlled API Integration

AI analysis, results, and reports can be exchanged through structured API workflows.

Better Diagnostic Traceability

Better Diagnostic Traceability

Stored study history and structured reporting improve visibility across AI-assisted ECG workflows.

Innovative Experience

Industries & Use Cases

AI-assisted ECG analysis platforms for cardiology, diagnostics, and digital healthcare systems

Clinics & Hospitals

Clinics & Hospitals

Support clinicians with faster first-line ECG interpretation.

Telemedicine Services

Telemedicine Services

Enable remote ECG analysis and decision support in distributed care models.

Cardiology Centers

Cardiology Centers

Improve ECG review workflows and anomaly detection support.

Diagnostic Labs & Mobile Healthcare

Diagnostic Labs & Mobile Healthcare

Extend ECG screening and review into broader digital healthcare workflows.

Delivery Crew

Project Team

High-performing developers for growing companies

Eugene Katovich

Eugene Katovich

Sales Manager

Need an AI-powered ECG analysis platform for scalable cardiology workflows?

Plavno builds AI healthcare systems that accelerate ECG screening, improve anomaly detection support, and integrate into modern diagnostic and telemedicine environments.

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Competitive Ability

Key Performance Flow

Demonstrating how Plavno transforms raw ECG studies into AI-assisted clinical decision support

From ECG ingestion to structured clinical insight — everything happens through one AI-powered cardiology flow.

01

Receive ECG File or Signal

Collect ECG data from devices or medical systems.

02

Normalize & Prepare the Study

Preprocess and standardize the signal for reliable AI inference.

03

Run AI-Based ECG Analysis

Detect suspicious patterns, estimate anomaly probability, and generate structured findings.

04

Deliver Structured Clinical Output

Return the AI report to the clinician through HIMS or the medical platform and enable historical comparison where needed.

Delivery & Automation

Delivery & Automation

    • Automated screening support.

    • Report generation.

    • API-driven result delivery.

    • Repeat analysis and history review.

Throughput & Scale

Throughput & Scale

    • High-volume ECG processing.

    • Enterprise healthcare integration.

    • Remote cardiology enablement.

    • Scalable AI cardiology infrastructure.

AI & ECG Quality Stack

AI & ECG Quality Stack

    • Multi-channel ECG analysis.

    • Pathology pattern detection.

    • Confidence scoring.

    • Structured diagnostic support.

Results

Measurable outcomes delivered by an AI-powered ECG analysis platform

Faster ECG Processing

Faster ECG Processing

Healthcare organizations can analyze ECG studies more efficiently.

Better Access to Cardiology Diagnostics

Better Access to Cardiology Diagnostics

The platform improves diagnostic availability in remote and underserved care settings.

Faster triage and prioritization of suspicious ECG studies

Faster triage and prioritization of suspicious ECG studies

Doctors receive structured support that helps them work faster across high study volumes.

Scalable Healthcare Growth

Scalable Healthcare Growth

The solution supports expansion of digital cardiology services without proportional staffing growth.

Lower Risk of Missed Abnormalities

Lower Risk of Missed Abnormalities

The AI layer helps surface potentially suspicious studies earlier.

Tools We Used

Technology stack

ECG Processing

ECG Processing

ECG ingestion
Signal preprocessing
Normalization
Deployment

Deployment

Scalable healthcare infrastructure
Enterprise integration
Monitoring
Clinical Workflows

Clinical Workflows

Structured reports
Study history
Longitudinal comparison
Backend & APIs

Backend & APIs

Backend API
Report delivery
Metadata storage
AI Inference

AI Inference

ECG AI models
Pattern detection
Confidence scoring

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Frequently Asked Questions

Quick Answers

Find answers to your common concerns

Can the platform analyze multi-channel ECG data?

Yes. It is designed to process and interpret multi-channel ECG studies.

Does it replace the physician?

No. The AI serves as a clinical decision-support layer and does not replace physician judgment.

Can it generate structured reports?

Yes. It produces AI-assisted structured reports with summaries, anomalies, confidence levels, and technical details.

Can it compare historical ECG studies?

Yes. The platform supports study history, repeated analysis, and comparison over time.

About Plavno

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Testimonials

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The 3D configurator has received positive feedback from customers. Moreover, it has generated 30% more business and increased leads significantly, giving the client confidence for the future. Overall, Plavno has led the project seamlessly. Customers can expect a responsible, well-organized partner.

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Commercial Director, RNDpoint

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“We appreciated the impactful contributions of Plavno.”

Plavno's efforts in addressing challenges and implementing effective solutions have played a crucial role in the success of T-Rize. The outcomes achieved have exceeded expectations, revolutionizing the investment sector and ensuring universal access to financial opportunities

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Product Manager, T-Rize Group

Thien Duy Tran

“We are very satisfied with their excellent work”

Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

Michael Bychenok

CEO, MediaCube

Michael Bychenok

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Plavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.

Helen Lonskaya

Head of Growth, Codabrasoft LLC

Helen Lonskaya

“The app was delivered on time without any serious issues.”

The MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.

Mitya Smusin

Founder, 24hour.dev

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