Lenses Case Studies Real-time Heart Rate Data Processing in Medtech: A Case Study of Nuvo's INVU

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	Real-time Heart Rate Data Processing in Medtech: A Case Study of Nuvo's INVU Lenses

Real-time Heart Rate Data Processing in Medtech: A Case Study of Nuvo's INVU

Lenses

Technology Category	Analytics & Modeling - Real Time Analytics Networks & Connectivity - MQTT
Applicable Industries	Healthcare & Hospitals
Use Cases	Real-Time Location System (RTLS) Regulatory Compliance Monitoring
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Networks & Connectivity - MQTT

Applicable Industries

Healthcare & Hospitals

Use Cases

Real-Time Location System (RTLS)

Regulatory Compliance Monitoring

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.

About 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.

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.

Impact #1	The adoption of Apache Kafka, Kafka Connect with Kubernetes, and MQTT for the Internet of Things has provided Nuvo with the flexibility they needed. This has allowed their engineering teams to write in any framework they prefer, enhancing productivity and efficiency. The use of Lenses has also enabled the back-end team to easily troubleshoot and debug data using a secure interface, eliminating the need for command line usage. This has improved the developer experience and streamlined operations. Furthermore, Nuvo's careful adherence to regulatory requirements and best practices around data access has ensured compliance and enhanced data security.

Impact #1

The adoption of Apache Kafka, Kafka Connect with Kubernetes, and MQTT for the Internet of Things has provided Nuvo with the flexibility they needed. This has allowed their engineering teams to write in any framework they prefer, enhancing productivity and efficiency. The use of Lenses has also enabled the back-end team to easily troubleshoot and debug data using a secure interface, eliminating the need for command line usage. This has improved the developer experience and streamlined operations. Furthermore, Nuvo's careful adherence to regulatory requirements and best practices around data access has ensured compliance and enhanced data security.

Benefit #1	Processes 18,000 packets of electro and phonocardiogram per minute per patient
Benefit #2	Provides real-time processing and high availability
Benefit #3	Supports dozens of data consumers across the organization

Benefit #1

Processes 18,000 packets of electro and phonocardiogram per minute per patient

Benefit #2

Provides real-time processing and high availability

Benefit #3

Supports dozens of data consumers across the organization

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Overview

Real-time Heart Rate Data Processing in Medtech: A Case Study of Nuvo's INVU

Operational Impact

Quantitative Benefit