Healthcare Site Search
We rebuilt a national health insurer's site search into a cloud-based, intelligent search platform that unified fragmented data and delivered near real-time, contextually accurate results across members, providers, and internal teams.
Results at a glance
The situation
A major health insurance provider was modernizing its digital ecosystem to serve a fast-growing base of members, providers, and internal stakeholders. Its legacy site search was slow and unreliable, with high response times that delayed access to policy details, claims data, provider directories, and support resources. Basic keyword algorithms returned irrelevant outcomes because they lacked contextual understanding and healthcare-terminology recognition. Underlying data was fragmented across disconnected systems, forcing users to navigate multiple platforms while the infrastructure buckled under peak demand.
Deliver a search experience that returns accurate, near real-time results at scale across every content type. Consolidate siloed policy, claims, provider, and content sources into a single, continuously indexed search layer. Add contextual relevance and healthcare-terminology intelligence so users find the right answer on the first query.
How we delivered
Stand up cloud search infrastructure
Deployed a cloud-based search platform on IBM Bluemix engineered for high-volume processing and dynamic, elastic scaling to absorb peak usage without degrading performance.
Unify siloed data sources
Integrated policy administration systems, claims databases, provider directories, and content repositories into a single unified search layer, eliminating cross-platform navigation for users.
Automate real-time indexing
Built automated real-time indexing pipelines that continuously ingest structured records and unstructured content so results stay fresh as data changes across upstream systems.
Tune contextual relevance
Implemented intelligent ranking for user intent and context, with keyword relevance tuning, synonym recognition, and healthcare-terminology mapping to sharpen accuracy for clinical and policy language.
Redesign the search experience
Delivered a modern, intuitive interface with auto-suggestions, refined result layouts, and faster response times so members and providers reach the right information quickly.
Instrument monitoring and analytics
Added search analytics and monitoring to surface query trends, track relevance quality, and give the business visibility to continuously improve the experience.
The technical solution
A block-level view of the system we designed and delivered — data and control flowing across each stage.
What the users see
A wireframe of the experience we shipped — laid out for the people who use it every day.
Automation that supports your people
Intelligent routing and GenAI self-service resolve the routine and hand off complex cases to agents with full context — cutting handle time, keeping the human touch.
From raw data to decisions teams can act on
A governed pipeline moves data from ingestion through modeling to activation — accurate, compliant, and fast enough to support real-time decisions.
Outcomes delivered
- Search response times dropped 60 to 70 percent, delivering near real-time results across policy, claims, and provider queries.
- Contextual, healthcare-aware ranking improved search accuracy by 40 to 50 percent, so users find the right answer on the first attempt.
- Elastic cloud infrastructure delivered a 3x scalability improvement, holding performance steady through peak demand.
- The platform sustained 99.9 percent availability and drove a 35 to 45 percent gain in operational efficiency.
- Faster, more relevant search lifted user engagement and adoption, while analytics gave the business clearer visibility into search behavior.
Technology stack
The platforms, frameworks, and standards behind the solution.
Cloud Platform
Search Engine
Relevance Intelligence
Data Integration
Observability
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