Background

A leading medical devices manufacturer wanted to build a web and mobile portal that would create clear visualizations for complex data.

‍This portal would analyze, summarize and visualize patient usage data and create analytical reports. These reports will facilitate actionable and informed treatment decisions and care plans, drive proactive interventions, control costs, and deliver seamless care across providers from hospital to home.

The solution also needed to provide their device engineers with a way to monitor the device health. The priorities were to generate and render analytical data, with state-of-the-art visualizations that complied with HIPAA patient privacy regulations while being user-friendly.

The Challenge

Very stringent health data standards (HIPAA) & data security ensuring that patient data is only available to authorized users
Ability to handle big data (volume, velocity, and variability) from both batch and streaming data
A product that could scale with increased adoption and ingestion speed while controlling upfront costs
Different roles need different visualization of the same data. (e.g. caregivers, hospital administrators, insurers, device administrators)
Real-time analytical transformations on streaming data from the IOT device

Our Approach

We implemented a Cloud-first design with native Cloud services, that was integrated with REST Microservices-based Architecture. Medical data was ingested in its raw form into an analytical database-cum-transformation engine, where the raw data was transformed and made suitable for analytics and visualization. This transformed data is visualized and rendered to provide an interactive data visualization that allows the users to explore the data and spot trends. The solution implemented a robust Role-Based Access Control (RBAC), which allowed administrators to control and manage access to the patient data.

Tech Stack

Snowflake is a managed data warehousing service that can handle multiple concurrent workloads and scale up both storage and compute resources independently to control costs

Docker containers, managed by Kubernetes service to allow for scalability and performance while controlling costs

Azure Active Directory for Identity and Access Management

Azure API Engine

React Framework with D3.js and Node.js to bring data to life using HTML, SVG, and CSS

Azure DevOps based Continuous Integration/ Continuous Delivery pipeline

The Results

Quickly built a minimum marketable product that allows the sales team to get feedback from the market

Interactive charts that allow the user to visualize and control the granularity of data without needing to fetch additional data from the server

Ability to organize charts based on the area of interest for that patient or device

Admins can manage the health data access to users and devices

Medical Data Portal and Data Visualization

Using Big Data to Develop Complex Health Visualizations

Background

The Challenge

Our Approach

Tech Stack

The Results

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