Insights

Case Studies Healthcare

Designing and Building a Hybrid Multi-Cloud Data Hub

Background

 

A large healthcare provider’s leadership determined the company needed to rapidly evolve to meet new market and regulatory demands. The organization lacked the flexibility required for application innovation and had an outdated data architecture. There were issues with duplication and overlap of data, inconsistent data definitions, and slow retrieval speeds. Security and compliance issues were also a concern. The organization needed to improve the member experience and address the missing talent and skillsets needed to implement modern technology approaches.

 

Solution

 

The team partnered with the organization to conduct a current state analysis, create a platform strategy, and develop a design and reference architecture. Unify estimated a 10-year ROI forecast and sequence a delivery roadmap with the newly formed Business Transformation Office. The highest value changes to the systems were determined in terms of dollars and outcomes. The plans for delivery approaches and program execution were presented to C-level executives for input and approval. Unify implemented a near real-time, event-driven, message-based streaming platform leveraging Kafka, Striim, Confluent, MongoDB, and Redis. The team enhanced data security and governance controls with COTS (i.e. Informatica) and implemented a container-based solution utilizing Vault and Kubernetes as part of hybrid, multi-cloud solution (Azure, AWS, On-Premise).

Key Outcomes

 

Unify transformed the organizations capabilities through a new hybrid, multi-cloud solution. Benefits are anticipated to include improved member satisfaction (e.g. reps can serve address customer inquiries with real time claims data). The healthcare provider will gain the ability to increase efficiency of claims management due to the decoupling of legacy systems and replacement with modern applications.  There will be an organization-wide definition and adoption of an improved enterprise data model for operations. Enhanced efficiency of operations through more real-time data, reduced technical debt, and increased automation is expected. The company will experience better regulatory compliance and reduced risk (e.g. against HIPAA mandates), as well as improved data protection and security.