Case Study
Digital Experience
Healthcare

Built a Centralized Big Data Platform for an Australian Healthcare Giant

About This Project

The client needed a next-generation cloud-based centralized platform to integrate all existing data in order to resolve logistical issues, duplication of data, and delayed care; and to improve the overall patient experience. Velotio’s engineers were able to develop a scalable, well-rounded solution for all existing or future data needs and helped them become a data-first healthcare company.

Services

Cloud and DevOps

Technologies

About the Client

The client is a huge private chain of hospitals based in Australia. With over 14 hospitals spread across the entire company, more than 3.4 million Australians are a part of their member group. The company offers both health insurance as well as health support solutions to patients.

Understanding the Challenge

Each hospital facility had its own IT department. This decentralized data system had become a cornerstone problem for the client, causing ripple effects in different aspects of their business. Lack of integrated data was causing many logistical issues, like duplication of efforts and more, leading to delayed care and fragmented overall patient experience.

Business teams were also struggling to increase the revenue without an integrated view of a patient’s journey. With so many gaps in data, many times their marketing teams were left to act on the basis of guesswork than actual insights derived from data. Accurately matching the products and services with the current needs of the patients was needed urgently to mark a huge business win.

Building the next-generation cloud-based centralized data platform seemed like a huge step, but it was causing an unbearable loss to the client and could no longer be put on hold.

The client approached Velotio to build this centralized platform while carefully migrating their existing patient data. They were ready to upgrade their IT infrastructure completely and be the data-first healthcare company.

Velotio’s expertise and experience with handling projects related to ETL pipelines, big data storage, and processing put the client’s doubts at ease pretty quickly. Cost optimization, timely delivery, and innovation were at the heart of this collaboration.

“Velotio’s team was quick to understand the problem, design the new data platform, understand the risks, and implement the solution in record time. Their in-depth knowledge of the AWS services is quite commendable. Velotio’s ability to put together a strong cross-functional team of Cloud & DevOps expertise has benefited us immensely in accelerating the development of our new big data platform.”

Chief Technology Officer

How We Made It Happen

The plan implemented by Velotio’s engineers was a scalable, well-rounded solution to any existing or future data needs of the client and included the following:

  • Architecting an all-new IT infrastructure to manage data for all hospitals in one centralized location by one team. S3 buckets were used for organized data storage.
  • Configuring a CI/CD workflow and tooling for automated deployments.
  • Setting up a security and governance control framework required by the Australian Healthcare industry.
  • Using Airflow for building a fault-tolerant ETL pipeline for monitoring, logging, and alerting. EMR and Redshift were used for analysis.
  • Offering support for ETL transformations.
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Besides building the platform, Velotio’s team also offered necessary training to the client’s team on the new data management best practices. This cross-functional team played an important role in delivering a cloud-based data platform with continuous deployment and testing.

Once the project was complete, the client’s operations team took over to deliver simple work requests like one-off extracts or even some complicated projects. The solution was made to be self-serve so their business teams can derive insights and reporting functionality without any dependency.

The project entailed a lot of successful deliverables. The first one was automating the deployment and configuration of AWS Landing Zone implementation that seamlessly brought together different services used by the current system from multiple direct connections. Next, we ran a production-quality Airflow cluster to manage ETL and ingestion of incoming data automatically.

Automating the complete SDLC with a Jenkin-based, fully-automated CI/CD pipeline was done to enable deploying Airflow DAGs including Testing and Linting. The team created and managed images with Packer for services like Jenkins and Airflow.

In addition, Terraform deployments included switching the complete infrastructure from landing Zone to Servers. We set up AWS Redshift/GlueMaking data sources and custom EMR clusters which were available on request. Automating application log shipments to Sumologic was also implemented.

How Velotio Made a Difference

The deployment of the new data platform unlocked many business opportunities for the client

Developed integrated solution for business teams to easily slice and dice large volumes of data, create more effective customer profiles, drive highly targeted marketing campaigns and find new revenue opportunities

Matched in-home care services for treatments like chemotherapy, dialysis, palliative care, and others with customers’ medical profiles to accurately predict the most relevant care plans for them. This not only assured that their patients receive the best possible care but also led to a huge uptick in their recurring revenue

Provided the client with a clear point of differentiation by giving them the opportunity to come up with customized healthcare plans based on data

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