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Development of AI-Powered Remote Patient Monitoring Platform for Orthopedic Conditions

nix-united.com

Medical

Challenge

The client needs a solution to effectively analyze real-time telemetry data from IoT devices worn by orthopedic patients to provide physicians with actionable insights for early detection, condition assessment, and optimized treatment plans. The primary challenge lies in transforming raw sensor data into clinically relevant information to assist in diagnosis and treatment decisions.

About the Client

Global provider of software products for the healthcare industry, specializing in developing innovative solutions for musculoskeletal (MSK) conditions.

Project Objectives

Develop a cloud-based telehealth platform for remote monitoring of orthopedic patients.
Enable real-time analysis of biometric telemetry data collected from IoT devices.
Provide physicians with intelligent assistance in patient condition assessment and treatment optimization.
Ensure HIPAA and GDPR compliance and maintain the security of sensitive patient data.
Improve treatment efficiency and outcomes for musculoskeletal conditions.

Functional Requirements

Patient monitoring via IoT devices and mobile app.
Real-time data visualization and analysis for physicians.
AI-powered anomaly detection and gait analysis.
Secure data storage and management.
Treatment plan management and prescription features.
Appointment scheduling.

Preferred Technologies

.NET

Kotlin

Swift

Azure

.NET

Azure Service Bus

Azure IoT Hub

Azure API for FHIR

Azure Application Insights

Azure SQL

Azure Kubernetes Service (AKS)

Integrations Required

HL7 FHIR for medical data aggregation

Key Non-Functional Requirements

Scalability to handle large volumes of telemetry data.
High availability and reliability.
Strong security to protect patient data.
HIPAA and GDPR compliance.
Real-time performance for data analysis and visualization.

Estimated Impact

The successful implementation of this platform will enable early detection of health problems, improve the quality of treatment through intelligent assistance, reduce costs for patients and healthcare providers, and position Intelligent Ortopedia as a leader in AI-driven healthcare solutions. The platform will contribute to the future of diagnostics and treatment in the musculoskeletal field.