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AI-Powered Mobile Application for Postoperative Pain Management
  1. case
  2. AI-Powered Mobile Application for Postoperative Pain Management

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AI-Powered Mobile Application for Postoperative Pain Management

themomentum.ai
Health & Fitness

Challenge

Postoperative pain management is often reliant on opioid medications, which carry risks of addiction and other side effects. Current methods lack personalization and real-time adjustment based on individual patient needs and responses to treatment. There is a need for a non-pharmacological, data-driven solution that can effectively manage postoperative pain, improve patient comfort, and streamline healthcare provider workflows.

About the Client

A forward-thinking HealthTech company focused on developing innovative solutions for postoperative patient care.

Goals

  • Develop a user-friendly mobile application for both patients and healthcare providers.
  • Create a robust backend system for managing patient data, treatment plans, and device configurations.
  • Develop an AI-powered expert system to fine-tune electrostimulation parameters.
  • Ensure real-time connectivity and control of multiple medical devices.
  • Provide a comprehensive admin panel for system management and monitoring.

Summary

  • Remote control of up to four medical devices via Bluetooth Low Energy (BLE).
  • AI-driven personalization of electrostimulation parameters based on patient data and feedback.
  • Real-time data monitoring and reporting.
  • Patient feedback collection and analysis.
  • Treatment plan management and scheduling.
  • Secure data storage and HIPAA compliance.
  • Admin panel for system monitoring and user management.

Preferred Technologies

Ruby on Rails (Backend)
PostgreSQL and Redis (Databases)
Kotlin (Android Mobile App)
TensorFlow Lite (On-device Machine Learning)
Bluetooth Low Energy (BLE)
MQTT (IoT Communication)

Integrations Required

  • Potential integration with hospital Electronic Medical Record (EMR) systems.

Key Non-Functional Requirements

  • High security and HIPAA compliance.
  • Real-time performance and low latency.
  • Scalability to support a large number of users and devices.
  • Reliable BLE connectivity.
  • Intuitive and user-friendly interfaces.

Impact

This project is expected to significantly improve postoperative pain management by providing a personalized, non-pharmacological solution. It will enhance patient comfort, reduce reliance on opioid medications, streamline healthcare provider workflows, and ultimately improve patient outcomes. The AI-driven personalization will lead to optimized treatment plans and a more efficient recovery process. The connected device management provides data-driven insights for better patient care.

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