
Industry
HealthTech / Medical Devices
Technologies
Python, TensorFlow, AWS, React, MQTT, PostgreSQL
About Our Client
A leading medical device manufacturer aimed to innovate their remote patient monitoring (RPM) solution by integrating AI-driven analytics to predict patient health risks and automate alerts. Their goal was to reduce hospital readmissions and improve chronic disease management through advanced device software.
With a complex legacy system and stringent FDA and HIPAA compliance requirements, the client needed an experienced partner to modernize their software stack, embed AI capabilities, and ensure regulatory adherence.
Challenge
- Integrate AI-powered predictive analytics with existing medical devices
- Ensure FDA and HIPAA compliance in all stages of software development
- Build a scalable cloud infrastructure for real-time data ingestion and processing
- Provide a seamless cross-platform user experience for patients and clinicians
- Address data security and privacy concerns without compromising performance
Solution
Celestial Infosoft partnered with the client to design a modular, scalable software architecture that integrated AI models capable of real-time patient health risk prediction. Using Python and TensorFlow, we developed machine learning algorithms trained on large datasets of patient vitals collected via connected devices.
The backend infrastructure was built on AWS with the MQTT protocol for reliable device communication and React-based dashboards for clinicians and caregivers. PostgreSQL was used for secure, compliant data storage.
Our team implemented robust security measures aligned with HIPAA and FDA requirements, including encrypted data transmission, access control, and audit logging.
Project Highlights
- Developed AI algorithms predicting adverse health events 24-48 hours in advance
- Created a real-time alerting system integrated with clinician dashboards
- Ensured full FDA and HIPAA compliance through rigorous documentation and testing
- Delivered a cloud-native, scalable solution capable of supporting thousands of devices simultaneously
- Provided comprehensive training and onboarding materials for clinical staff
Results
- 30% reduction in hospital readmissions within the first 6 months of deployment
- Improved patient engagement and adherence to care plans through personalized alerts
- Achieved FDA clearance for the updated software platform within the timeline
- Streamlined clinical workflows with data-driven decision support tools
- Positioned the client as an industry leader in AI-enabled medical device software
Technologies and Tools
- Backend & AI: Python, TensorFlow
- Cloud & IoT: AWS, MQTT
- Frontend: React
- Database: PostgreSQL
- Security: HIPAA-compliant encryption, role-based access control, audit trails
Client Feedback
“Celestial Infosoft’s expertise in AI and healthcare compliance was instrumental in transforming our RPM platform. Their agile approach and deep understanding of medical software regulations helped us deliver a market-leading product on time and within budget.”
– Client Says