Indicina

Serverless Healthcare Application on AWS

Executive Summary

Indicina contracted with Francioni to develop and host a web application that enables its clients to calculate sample size parameters for accurate reporting of clinical quality measures.

Francioni developed and implemented the Samplifier application on schedule using AWS best practices, including serverless compute, automated CI/CD, and well-architected review.

The Challenge

Deliver the application in under two months

The Samplifier application had to be built, tested, and delivered within two months.

Free developers from manual deployments

Test teams needed fresh builds on demand across environments, so the pipeline had to promote code automatically — developers should never pause feature work to run a deployment.

Keep infrastructure and operational costs down

The application usage will start with few users and it will increase over time. Indicina required that the solution scale rapidly and cost-effectively as usage increases.

The Solution

Samplifier is a clinical quality measure sample size calculator to be rendered as a single-page web application.

We delivered a fully Serverless application with no fixed costs and no need for operations to support servers, software upgrades, or additional security monitoring. The workload can scale as the usage increases.

Another requirement was to provide the flexibility to allow users to either create their own credentials to access the system, or to use their existing Google and Microsoft credentials for OIDC connections. Amazon Cognito with its key authentication features, was the right solution to create a good user experience with low friction.

Results and Benefits

Productivity Improvement

The application replaces a manual sample size determination process with an automated process that observably lowers error rates in the determination of hybrid measure minimum sample sizes, and generates significant efficiency gains for users.

Technical Capability

The application provides a demonstrable example of Indicina's capacity to design and implement a web application that uses technologies and protocols included in the HL7 FHIR® standards framework and developer community, including Amazon Web Services (AWS), OAuth2.0, OpenID Connect, XML/JSON, JavaScript (Node.js), GitHub, and REST API protocols.

What happened next: Indicina became part of Velox, and this application grew into a full quality-measurement platform — read the Velox case study.