Scattered knowledge
Answers spread across many disconnected systems.
(06)Case study · Concept build
Healthcare
AI Knowledge Brain
Every answer a hospital team needs already exists somewhere. We designed a way to find it in seconds, and prove where it came from.
Concept build
- Industry
- Healthcare
- Services
- AI Development, Knowledge Management, RAG, Enterprise Search
(01)Context
Context
Healthcare organizations run on documents: clinical guidelines, policies, procedures, training material and compliance records. Healthea is a concept for a healthcare organization whose knowledge had outgrown the way it was stored.
(02)The challenge
The challenge
Policies lived in one repository, procedures in shared drives, training in department folders and compliance documents somewhere else. When staff couldn't find something, they asked a colleague. As the organization grew, that stopped working. The problem wasn't missing information; it was reaching the right, current version at the moment it mattered.
Slow searches
Finding one answer meant opening several long PDFs.
Inconsistent answers
Teams relied on outdated or conflicting versions.
Strict security
Any solution had to respect access rights, privacy and traceability.
(03)Our approach
Our approach
- 01
Grounded, not guessed
Every answer comes from the organization's own approved documents, never the AI's general knowledge.
- 02
Show the source
Each answer links to the exact document, section and version behind it.
- 03
Security first
Staff only ever see answers built from documents they're allowed to access.
(04)What we built
What we built
01
Ask in plain English
Staff type the question they actually have, without needing document titles or folder paths.
02
Answers with citations
A short answer plus the source document, section, page and effective date.
03
Current version first
Document status and dates help prioritize approved, up-to-date policies over old ones.
04
Permission-aware search
Access rules are enforced by the system before the AI sees anything.
05
Always in sync
New, changed and deleted documents update the knowledge base automatically.
06
Feedback loop
Staff flag wrong or outdated answers, which surfaces gaps in the documentation itself.
(05)In practice
Before and after
“How should we respond when a medical device fails during operations?”
Before
Search a shared drive, open several procedures, work out which version is current, then ask a supervisor.
After
One question returns the approved procedure, its section and version, and a link to the original, plus a notice if the evidence is incomplete.
(06)Showcase
Showcase
(07)Under the hood
Tech stack and architecture
Five layers, built to be tested separately.Show the architectureHide
- 01Data connectors
- 02Document processingPDF, tables, versions, duplicates
- 03Hybrid indexingKeyword and semantic
- 04Retrieval-augmented generationWith reranking
- 05Application layerSSO, role-based access, encryption and audit logs
Stack
- Python backend
- An LLM chosen for groundedness and cost
- An embedding model
- A vector-capable search engine such as OpenSearch
(08)Designed to achieve
What it's designed to achieve
Less time searching across systems, faster access to the right procedure, consistent answers across departments, and visible gaps or conflicts in documentation. These benefits would be confirmed by measurement in a real deployment.
The system speeds up access to existing approved guidance. It does not replace clinical judgment or emergency protocols.
Healthea
Ask the question. Get the answer. See the source.
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Concept build · Niasus
AI Customer Support Intelligence
Turning thousands of support tickets into answers about what's really going wrong, and why.
(10)Contact
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