(+971) 8007 4267
(+91) 946 340 7140
(+1) 628 432 4305
Project Overview
HealthGR AI is an AI-powered health and wellness app that combines device integration, health analysis, and teleconsultation. It connects users to certified doctors and therapists, tracks health metrics through wearables and IoT devices, and provides personalized health insights.
The platform streamlines medical consultations, symptom analysis, e-prescriptions, lab orders, and chronic condition monitoring, making healthcare accessible and convenient.
Idea Inception
Our client wanted a single platform where users could monitor their health, get personalized recommendations, and access professional medical care remotely. Existing solutions either focused on health tracking or teleconsultation, but none combined AI-based analysis, device integration, and telemedicine in one unified system. HealthGR AI was designed to fill this gap.
Strategic Objectives
Create an AI-powered platform that integrates wearable devices and IoT health tools.
Enable instant access to board-certified doctors and mental health professionals.
Provide AI-driven symptom analysis and personalized health insights.
Ensure secure, HIPAA-compliant storage and transmission of health data.
Support multi-language access to reach a broader audience.
Streamline appointment booking, e-prescriptions, and lab referrals.
Offer continuous monitoring for chronic conditions like diabetes, hypertension, and asthma.
Our Approach
For users, we developed a simple onboarding process with secure profile creation and device integration. HealthGR AI collects real-time health data, monitors trends, and uses AI algorithms to detect patterns and provide actionable recommendations. Users can initiate teleconsultations or mental health sessions instantly, with all records stored securely.
For healthcare providers, the platform offers detailed dashboards with patient health summaries, AI-driven pre-assessments, and teleconsultation tools. This enables providers to focus on care rather than administrative tasks.
We built this with strong encryption, end-to-end security, and HIPAA compliance to ensure patient privacy. Additionally, we made sure it had multi-language support and real-time translation for global accessibility.
Key Features
Wearable Device Integration:
We integrated APIs from leading fitness trackers, smartwatches, and IoT medical devices. Data such as heart rate, glucose, blood pressure, and SpO₂ are standardized into a single health record format.
AI Symptom Checker:
We built an AI-driven pre-consultation module that collects user inputs, runs medical triage logic, and prepares structured case notes for doctors.
Teleconsultation:
We implemented secure video, audio, and chat modules using WebRTC, giving patients 24/7 access to certified doctors and therapists.
Chronic Condition Monitoring:
We developed dashboards for conditions like diabetes, hypertension, and asthma. The system continuously tracks vitals and triggers alerts when anomalies are detected.
E-Prescriptions & Lab Orders:
We added digital prescription workflows that send orders directly to pharmacies and allow doctors to issue lab or imaging referrals in-app.
AI Health Analysis:
Our machine learning models process device data and medical history to detect health trends and deliver predictive insights.
Mental Health Support:
We created a dedicated flow for video therapy sessions with licensed professionals, along with a secure chat for ongoing counseling.
Secure Record Management:
All consultations, prescriptions, and lab results are auto-organized into encrypted patient records stored on HIPAA-compliant cloud infrastructure.
Multi-Language Support:
We integrated NLP-based translation for 10+ languages, trained with medical terminology datasets for accuracy during consultations.
Intuitive Appointment Booking:
We designed a simplified booking system that syncs with provider schedules, enabling fast appointment setup without manual coordination.
Technology Used
AI & ML for health trend prediction and symptom analysis.
IoT & device integration APIs for wearable data syncing.
Telehealth frameworks for secure video and chat consultations.
Cloud infrastructure with HIPAA-compliant storage.
NLP for chatbot interactions, triage, and multi-language support.
Native iOS and Android development for a smooth mobile experience.
HealthGR AI App Flow
Challenges & Solutions
1. Multi-Device Integration:
Users connected different wearables and medical devices with varying APIs, data formats, and syncing intervals.
Our Solution: We developed a device-agnostic integration layer that normalized all inputs into a unified FHIR-compliant format, ensuring consistent processing of vitals across devices.
2. AI Symptom Accuracy:
Pure AI symptom checks risked misclassification, reducing reliability for both patients and doctors.
Our Solution: We trained models on 500K+ medical records and added a doctor-in-the-loop system, improving accuracy through continuous provider feedback.
3. High-Volume Teleconsultation:
Maintaining smooth video consultations under heavy traffic and low-bandwidth conditions.
Our Solution: We used WebRTC with adaptive bitrate streaming and deployed load-balanced clusters, ensuring stable calls with audio fallback if video failed.
4. HIPAA Compliance & Security:
Protecting sensitive health data while meeting strict regulatory standards.octors.
Our Solution : We implemented AES-256 encryption, HIPAA-compliant cloud storage, role-based access, and regular penetration testing for all APIs.
Project Overview
HealthGR AI is an AI-powered health and wellness app that combines device integration, health analysis, and teleconsultation. It connects users to certified doctors and therapists, tracks health metrics through wearables and IoT devices, and provides personalized health insights.
The platform streamlines medical consultations, symptom analysis, e-prescriptions, lab orders, and chronic condition monitoring, making healthcare accessible and convenient.
Idea Inception
Our client wanted a single platform where users could monitor their health, get personalized recommendations, and access professional medical care remotely. Existing solutions either focused on health tracking or teleconsultation, but none combined AI-based analysis, device integration, and telemedicine in one unified system. HealthGR AI was designed to fill this gap.
Strategic Objectives
Create an AI-powered platform that integrates wearable devices and IoT health tools.
Enable instant access to board-certified doctors and mental health professionals.
Provide AI-driven symptom analysis and personalized health insights.
Ensure secure, HIPAA-compliant storage and transmission of health data.
Support multi-language access to reach a broader audience.
Streamline appointment booking, e-prescriptions, and lab referrals.
Offer continuous monitoring for chronic conditions like diabetes, hypertension, and asthma.
Our Approach
For users, we developed a simple onboarding process with secure profile creation and device integration. HealthGR AI collects real-time health data, monitors trends, and uses AI algorithms to detect patterns and provide actionable recommendations. Users can initiate teleconsultations or mental health sessions instantly, with all records stored securely.
For healthcare providers, the platform offers detailed dashboards with patient health summaries, AI-driven pre-assessments, and teleconsultation tools. This enables providers to focus on care rather than administrative tasks.
We built this with strong encryption, end-to-end security, and HIPAA compliance to ensure patient privacy. Additionally, we made sure it had multi-language support and real-time translation for global accessibility.
Key Features
Wearable Device Integration:
We integrated APIs from leading fitness trackers, smartwatches, and IoT medical devices. Data such as heart rate, glucose, blood pressure, and SpO₂ are standardized into a single health record format.
AI Symptom Checker:
We built an AI-driven pre-consultation module that collects user inputs, runs medical triage logic, and prepares structured case notes for doctors.
Teleconsultation:
We implemented secure video, audio, and chat modules using WebRTC, giving patients 24/7 access to certified doctors and therapists.
Chronic Condition Monitoring:
We developed dashboards for conditions like diabetes, hypertension, and asthma. The system continuously tracks vitals and triggers alerts when anomalies are detected.
E-Prescriptions & Lab Orders:
We added digital prescription workflows that send orders directly to pharmacies and allow doctors to issue lab or imaging referrals in-app.
AI Health Analysis:
Our machine learning models process device data and medical history to detect health trends and deliver predictive insights.
Mental Health Support:
We created a dedicated flow for video therapy sessions with licensed professionals, along with a secure chat for ongoing counseling.
Secure Record Management:
All consultations, prescriptions, and lab results are auto-organized into encrypted patient records stored on HIPAA-compliant cloud infrastructure.
Multi-Language Support:
We integrated NLP-based translation for 10+ languages, trained with medical terminology datasets for accuracy during consultations.
Intuitive Appointment Booking:
We designed a simplified booking system that syncs with provider schedules, enabling fast appointment setup without manual coordination.
Challenges & Solutions
1. Multi-Device Integration :
Users connected different wearables and medical devices with varying APIs, data formats, and syncing intervals.
Our Solution : We developed a device-agnostic integration layer that normalized all inputs into a unified FHIR-compliant format, ensuring consistent processing of vitals across devices.
2. AI Symptom Accuracy :
Pure AI symptom checks risked misclassification, reducing reliability for both patients and doctors.
Our Solution : We trained models on 500K+ medical records and added a doctor-in-the-loop system, improving accuracy through continuous provider feedback.
3. High-Volume Teleconsultation :
Maintaining smooth video consultations under heavy traffic and low-bandwidth conditions.
Our Solution : We used WebRTC with adaptive bitrate streaming and deployed load-balanced clusters, ensuring stable calls with audio fallback if video failed.
4. HIPAA Compliance & Security :
Protecting sensitive health data while meeting strict regulatory standards.
Our Solution : We implemented AES-256 encryption, HIPAA-compliant cloud storage, role-based access, and regular penetration testing for all APIs.
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- F 337, Industrial Focal Point, Phase 8B, Industrial Area, Sector 74, SAS Nagar, Punjab 160055
- SCF 98, Phase 11, Sector-67 Mohali, 160062
- [email protected]
- (+1) 628 432 4305
- F 337, Industrial Focal Point, Phase 8B, Industrial Area, Sector 74, SAS Nagar, Punjab 160055
- SCF 98, Phase 11, Sector-67 Mohali, 160062
- 651 N Broad St, Middletown, 19709, county New Castle Delaware, USA
- [email protected]
- (+1) 628 432 4305
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