Real-time Heart Rate Data Processing in Medtech: A Case Study of Nuvo's INVU
Technology Category
- Analytics & Modeling - Real Time Analytics
- Networks & Connectivity - MQTT
Applicable Industries
- Healthcare & Hospitals
Use Cases
- Real-Time Location System (RTLS)
- Regulatory Compliance Monitoring
About The Customer
Nuvo is a hyper-growth Medtech company that is revolutionizing pregnancy care by pioneering the future of connected healthcare. Their data products roll out at an impressive rate for a heavily regulated organization. These products include wearable bands that collect biosensory data, web services for health practitioners, and AI-powered insights on fetal heart rate. Nuvo is committed to meeting regulatory requirements and has spent years securing FDA approval. They have a strong focus on data security and have established clear best practices around who can access what data. Nuvo's engineering teams have an open-source, build-first philosophy when it comes to their data projects.
The Challenge
Nuvo, a hyper-growth Medtech company, is revolutionizing pregnancy care by pioneering the future of connected healthcare. However, this innovation comes with the challenge of ensuring that engineers can access and use streaming data in compliance with regulations. The company's data products, which include wearable bands collecting biosensory data, web services for health practitioners, and AI-powered insights on fetal heart rate, roll out at an impressive rate for a heavily regulated organization. A few years ago, Nuvo completely overhauled and modernized their data infrastructure to accommodate streaming data and applications. They needed a system that could reliably capture and transform 18,000 packets of electro and phonocardiogram per minute, along with other biometric data. However, RabbitMQ did not provide the flexibility Nuvo required.
The Solution
Nuvo opted for Apache Kafka and Kafka Connect with Kubernetes, along with MQTT for the Internet of Things, to meet their requirements. This technology stack allowed their engineering teams to write in any framework they preferred, from Python to C-Code and Java. To meet regulatory requirements beyond HIPAA and secure FDA approval, Nuvo had to establish clear best practices around data access. This involved years of careful box-checking and process-building. Nuvo also had to ensure that they did not have 'Software of unknown pedigree' in their systems without sufficient technical and legal due diligence. As a result, Nuvo's engineering teams adopted an open-source, build-first philosophy for their data projects. They selected Lenses to provide a developer experience over Apache Kafka, enabling the back-end team to easily troubleshoot and debug data using a secure interface, without needing to resort to the command line.
Operational Impact
Quantitative Benefit
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