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Medical Devices

The LifeOmic Platform provides a secure home for your medical device data and allows you to collect, store, and analyze data from your registered devices. It brings your remote device onto the same data platform used by medical researchers at a major university health system.

Med Device Diagram

Register your Devices

The LifeOmic Platform offers a self-provisioning registration workflow. Manufacturers use the LifeOmic Platform web app to create and download a claim certificate. The developer at the manufacturer installs the claim certificate in their general device code. Upon activation, an individual device establishes a connection with the LifeOmic Platform. This allows the LifeOmic Platform to exchange the claim certificate for a unique device certificate. The claim certificate is shared across all of your devices, while each device self-provisions for a unique device certificate.

A device certificate is similar in concept to an API key but with key differences. Device certificates are tied to a specific device, not a user. And device certificates never expire, unlike API keys that will expire after a year or less. To learn more about API keys and the LifeOmic Platform authentication, see the Authentication FAQ.

Data Transfer

The LifeOmic Platform supports communicating with medical devices through MQTT, a lightweight protocol designed for connecting remote devices. MQTT is widely adopted and recommended for IoT implementations. MQTT works on the publish/subscribe model and is designed for a small code footprint and minimal bandwidth needs.

Visualize FHIR Data

The LifeOmic Platform web app offers a sophisticated viewer to observe and analyze device data. Data is stored with the FHIR standard and includes a vast range of observations. Metrics include device-centric observations, such as machine idle time and in-use time, and patient-centric observations, such as blood oxygen saturation.

Med Device Observation

Data Science Tools

The LifeOmic Platform sets up access to your device data for popular data science tools, including Jupyter Notebooks and Machine Learning (ML) capability. The LifeOmic Platform integrates with Jupyter Notebooks through LifeOmic Notebooks. LifeOmic Notebooks are a fully managed Jupyter Notebook service that provides the ability to analyze large and small data sets. Jupyter Notebooks are an open-source web application widely utilized by clinical researchers and data scientists. For more information, see the Jupyter Notebooks Overview.

The LifeOmic Platform also offers our ML service to work with your medical device data. This service gives medical device companies the ability to train and deploy their own models on their data in a simplified way. The ML service handles all the extract, transform, and load (ETL) work of getting your patient or medical device data to your model for training and inference. Our platform currently supports semantic image segmentation ML models, and we are working on support for additional problem types.