Wireless Healing - Transforming Postoperative Care with Smart Electrostimulation
.png)
Summary
Momentum partnered with a HealthTech pioneer to transform postoperative pain management. We developed a mobile application that wirelessly controls electrostimulation devices, personalizes treatment, and improves patient comfort. Our solution integrates IoT, AI, and mobile technologies to enhance recovery and optimize healthcare provider workflows, setting a new standard in tech-driven patient care.
Reimagining Postoperative Care
Our client, a forward-thinking HealthTech company, dreamed of a world where postoperative pain could be managed more effectively and with less reliance on opioids. They envisioned a system that would harness the power of transdermal stimulation techniques, wirelessly controlling medical devices to provide personalized pain relief after laparotomy and laparoscopy procedures.
Bridging the Gap Between Vision and Reality
Turning this visionary concept into reality presented a multifaceted challenge that pushed the boundaries of existing technologies and medical practices. The complexity of the project required us to innovate across multiple domains simultaneously:
Multi-Device Control
Seamlessly control up to four medical devices at once using Bluetooth Low Energy (BLE) technology
AI-Powered Personalization
Incorporate complex AI algorithms to tailor electrotherapy to each patient's unique needs
Seamless Data Flow
Ensure smooth data flow between patients, devices, and healthcare providers
Medical-Grade Security
Meet stringent medical-grade security and compliance standards
Setting the Bar for Next-Gen Pain Management
In close collaboration with our client, we established a set of ambitious yet crucial goals that would guide our development process. These objectives were carefully crafted to ensure that the final product would not only meet the immediate needs of patients and healthcare providers but also pave the way for future innovations in postoperative care:
Build a user-friendly mobile app that both patients and healthcare providers would find intuitive
Create a robust backend system to handle 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 authorized personnel to manage the system
Agile Innovation Meets Medical Expertise
Recognizing the complexity and innovative nature of this project, we knew that a traditional, rigid development approach would not suffice. Instead, we adopted a highly flexible and collaborative methodology that would allow us to adapt quickly to new insights and overcome unforeseen challenges. Our agile approach, centered around Design Sprints, proved to be the perfect fit for this groundbreaking project:
Medical Collaboration
Work hand-in-hand with medical experts, gaining deep insights into electrostimulation therapy
Rapid UI Prototyping
Quickly create and test user interfaces, ensuring they met the needs of both patients and healthcare providers
AI Refinement
Continuously refine our AI algorithms, improving the personalization of treatment plans
Rigorous Testing
Rigorously test BLE connectivity and device management to ensure reliability
Powering Innovation with Cutting-Edge Tech
The unique requirements of this project demanded a carefully curated technology stack that could handle the complex interplay of mobile, IoT, and AI technologies while maintaining the highest standards of security and performance. After thorough research and consideration, we selected the following technologies:
Backend - Ruby on Rails
We chose Ruby on Rails for its efficiency and flexibility. It allowed us to quickly build a robust backend capable of handling complex data operations and real-time communication.
Databases - PostgreSQL and Redis
We combined the power of PostgreSQL as the main database with Redis for caching and background task processing. This duo ensured fast data retrieval and efficient handling of time-sensitive operations.
Mobile App - Kotlin (Android)
For the mobile application, we used Kotlin. Its modern features and excellent performance made it ideal for creating a responsive and reliable Android app, crucial for managing medical devices.
AI and Machine Learning
We incorporated TensorFlow Lite for on-device machine learning, enabling real-time treatment adjustments. This technology was key in personalizing patient care.
IoT and Connectivity
Bluetooth Low Energy (BLE) was essential for reliable, low-power communication with medical devices. We also used MQTT for efficient data synchronization between devices and the server.
Bringing Vision to Life, One Milestone at a Time
The implementation phase of our project was a journey filled with both exciting breakthroughs and complex challenges. Our team's expertise and dedication were put to the test as we worked to bring our innovative vision to life. Throughout this phase, we achieved several key milestones and overcame significant hurdles:
BLE Device Management
We tackled the complex task of BLE Device Management, creating a robust system capable of managing multiple devices simultaneously, overcoming Android's native limitations.
AI-Driven Treatment
Our AI-Driven Treatment Optimization system combined on-device inference for real-time adjustments with cloud-based learning, ensuring continuous improvement of patient care.
Secure Data Architecture
We implemented a Secure Data Architecture with end-to-end encryption and HIPAA-compliant data handling, ensuring patient privacy and data security.
Intuitive Interfaces
We crafted Intuitive User Interfaces for both patients and healthcare providers, balancing ease of use with comprehensive control.
Turning Obstacles into Opportunities
As with any groundbreaking project, we encountered several significant challenges along the way. However, our team's creativity and perseverance allowed us to overcome these obstacles:
BLE Connectivity
We solved the BLE Connectivity challenge by implementing a custom connection management system, allowing simultaneous connection to multiple devices.
Real-time Synchronization
To ensure Real-time Data Synchronization, we utilized the MQTT protocol, maintaining seamless data flow even in unreliable network conditions.
AI Optimization
We balanced complex AI computations with mobile device limitations through a hybrid cloud-edge AI architecture, optimizing our AI model for both performance and efficiency.
A New Era in Postoperative Care
The culmination of our collaboration with the HealthTech company resulted in a truly groundbreaking solution for postoperative pain management. This innovative system represents a significant leap forward in how we approach patient care and pain relief after surgical procedures:
Advanced Mobile App
We developed an Android mobile application using Kotlin that wirelessly controls up to four medical devices simultaneously via Bluetooth Low Energy, revolutionizing how electrostimulation therapy is delivered.
AI-Driven Personalization
The system features an AI-driven expert system with intuitive interfaces for both doctors and patients. It offers personalized treatment suggestions while allowing manual control, striking a balance between automation and professional oversight.
Real-Time Note Generation
Key functionalities include real-time connectivity with electro-stimulators, patient feedback collection, and personalized therapy adjustments. The app also manages long-term treatment plans and provides timely reminders to patients.
Expanding the Horizons of Digital Health
While we're immensely proud of what we've achieved with this project, we see it as just the beginning of a new era in postoperative care and pain management. The potential for further innovation and expansion is enormous, and we're already exploring exciting opportunities to enhance the system's capabilities:
EMR Integration
Integrating with hospital EMR systems to enable more comprehensive patient data analysis
Predictive Analytics
Developing predictive analytics to anticipate and prevent postoperative complications
.png)
.png)
