ihearty

Project Overview

iHearty was developed by Idea Usher for a US-based private digital health company focused on improving cardiac monitoring and early risk detection. The platform uses AI to analyze ECG data, wearable sensor inputs, and patient history to identify early signs of heart conditions.

Built with a goal to detect cardiac risk earlier, reduce emergency events, and improve long-term heart health management, iHearty connects patients, cardiologists, and care teams through a single platform.

Heart disease remains the leading cause of death in the world. Many cardiac events occur due to delayed diagnosis, irregular monitoring, or limited access to specialists.

The client approached our team to build a system that moves cardiac care from reactive treatment to proactive monitoring. The concept was to combine AI-based ECG interpretation, wearable device integration, and secure patient-doctor communication in one structured digital platform.

iHearty was conceived as a remote-first cardiac intelligence system designed for clinics, hospitals, and telehealth providers.

The primary objective was to develop an AI-powered cardiac care ecosystem that could:

Enable early cardiac risk detection with AI-driven monitoring. Build your app for a real-cause!

Most cardiac monitoring apps track heart rate or store ECG reports. iHearty goes further by delivering predictive intelligence and clinical-grade decision support. The platform:

Turn your cardiac care idea into a secure AI-based platform.

1.Training Clinically Reliable AI Models for ECG Interpretation

Solution: The team trained convolutional and recurrent neural networks on large, annotated ECG datasets and validated outputs against cardiologist-reviewed benchmarks to achieve clinical-level precision.

2. Maintaining Real-Time Performance

Solution: The system used optimized model deployment with cloud-assisted processing to deliver fast ECG interpretation without delays.

3. Integrating Multiple Wearable Devices Securely

Solution: Standardized APIs were implemented to enable secure data exchange between approved wearable devices and the platform.

4. Reducing False Positives in Alert Systems

Solution: Multi-parameter validation logic combines ECG data with contextual vitals to improve alert accuracy and reduce unnecessary notifications.

5. Designing for Clinical Simplicity

Solution: The user interface was structured around clear workflows, minimizing steps while keeping diagnostic data accessible for review.

6. Managing Sensitive Health Data

Solution: The architecture included encrypted communication, secure storage protocols, and compliance-aligned infrastructure to protect patient information.

Cardiovascular disease is the leading cause of death in the US, creating a strong need for early detection and continuous monitoring.

Nearly half of US adults live with some form of heart disease, which increases the demand for better tracking, faster analysis, and structured risk management.

The remote cardiac monitoring market is projected to reach $13.2 billion as healthcare providers adopt continuous care models.

The wearable ECG market was valued at about USD 587 million in 2024, showing rising use of devices that generate real-time heart data.

Rising dementia cases, expected to reach 550,000 by 2030, influenced us to include caregiver contact details, alerts, and bio notes within bookings.

Recognizing a AU $6.5 billion healthcare shortfall in rural regions, we added location-based pricing and service filters to support accessibility.

The broader aged care sector is projected to nearly double in value, from US $32.2 billion in 2024 to US $61 billion by 2033, which is why the platform was designed for compliance, admin oversight, and long-term scalability.

As digital health adoption increases, AI-based cardiac systems are needed to analyze live data, send alerts, and support clinical decisions, which is exactly why iHearty was built with real-time analysis, risk scoring, monitoring dashboards, alerts, reports, and device integration.

Project Overview

The application is a two-sided service marketplace built exclusively for the Australian market. It connects individuals in need of personal or in-home support services with verified and professional care providers.

The goal was to build a reliable, compliant, and location-aware platform that simplifies booking, communication, and service delivery for both customers and healthcare professionals.

Idea Inception

Our client identified a growing demand in Australia for at-home and on-site support services, especially in aged care, personal wellness, and physical therapy. Most existing platforms lacked strict verification standards, clarity in care provider information, or an easy booking experience.

The idea was born out of the client’s own difficulty in finding trustworthy, location-specific support services for their family. This motivated them to create a platform that combines trust, transparency, and accessibility under one roof.

Our Approch

We designed and developed a complete three-part digital platform specifically for the Australian healthcare market:

Key Differentiators

Application Structure and Flow

Customer App

Challenges

Handling two types of services (home and on-site) with separate pricing models
Implementing manual document verification while keeping onboarding user-friendly
Ensuring precise location accuracy for service area filtering
Managing booking conflicts and overlapping time slots
Creating a flexible yet rule-based refund system
Allowing post-service hour extensions only under specific conditions

Solutions

Added two distinct fields for pricing (home and on-site) in care provider onboarding
Designed a step-by-step form with file upload progress indicators for documents
Used Google Maps API with service radius logic tied to care provider locations
Built a slot management engine to disable booked time slots automatically
Created an admin-controlled refund module with preset rules
Added logic to enable “extend service” only after existing hours are consumed.