Healthcare Knowledge Intelligence Agent: 4-Week Proof of Concept

OVERVIEW:

Most healthcare organizations sit on decades of unstructured, unsearchable documents. MAQ Software builds a knowledge intelligence agent on Microsoft Azure AI Foundry and Microsoft Azure OpenAI that answers plain-language questions from your own historical data, traceable to its source.

BUSINESS CHALLENGE:

• Legacy systems and disconnected data slow discovery and delay insights.
• Staff spend hours or days manually searching PDFs and archives for information that already exists.
• Duplicated work happens because prior knowledge is undiscoverable, and knowledge is lost as staff turn over.
• Most healthcare documentation is unstructured, making it costly to analyze.

KEY QUESTIONS:

• How much staff time is spent manually searching for information that already exists?
• Can your teams query years of unstructured data in plain language and get a trustworthy answer?
• Can you show which document supported each answer, for audit?

AGENDA:

Week 1:

Select one department with a named sponsor. Inventory target document sources, agree evaluation criteria with reviewers, and provision Microsoft Azure AI Foundry and Microsoft Azure AI Search with Microsoft Entra ID and Microsoft Purview.

Week 2:

Ingest and structure the selected documents using Microsoft Azure AI Document Intelligence and Microsoft Azure Databricks, then build the vector index in Microsoft Azure AI Search as a governed knowledge source.

Week 3:

Build the knowledge intelligence agent on Microsoft Azure OpenAI, orchestrated through Microsoft Azure AI Foundry, answering questions with inline citations. Surface it in Microsoft Teams and tune answer accuracy with reviewers.

Week 4:

Evaluate against a defined question set, measuring query accuracy, time saved, and citation correctness. Configure governance and deliver handover, readout, and roadmap.

SOLUTION / APPROACH:

Use Case 1:

Natural-Language Knowledge Retrieval: staff ask questions in plain language across your document archive. The agent returns an answer with a citation to the source document, so every answer can be checked.

Use Case 2:

Institutional Knowledge Preservation: prior reports and findings become discoverable across teams, reducing duplicated work and preserving knowledge otherwise lost to staff turnover.

Data Foundation:

Microsoft Azure AI Document Intelligence and Microsoft Azure Databricks process unstructured documents into structured, searchable data. Microsoft Azure AI Search provides retrieval as a governed knowledge source, with lineage preserved so passages trace to origin.

Governance and Responsible AI:

This agent answers and cites; staff interpret and decide. Microsoft Purview classifies sensitive content, and Microsoft Entra ID enforces access so retrieval respects existing permissions. Grounding constraints prevent unsupported answers.

DELIVERABLES:

1. Working knowledge intelligence agent in your Microsoft Azure environment, scoped to one department

2. Evaluation report on query accuracy, time saved, and citation correctness

3. Executive readout with quantified business case

4. Structured, searchable index built from your unstructured archive

Users:

• Research and Clinical Analysts

• Compliance Staff

• Knowledge Management Teams

BUSINESS OUTCOMES:

1. Information that took hours or days to find is now retrieved in seconds, since staff search years of records in plain language instead of opening documents one at a time

2. Less duplicated work, because prior reports and findings are discoverable instead of buried

3. Institutional knowledge is preserved and searchable even as staff change roles or leave

4. Every answer is traceable to its source document, for compliance and audit

WHY MAQ SOFTWARE:

• Health and Life Sciences domain depth: We have delivered governed knowledge retrieval agents over clinical, research, and regulatory archives, working with the scanned, versioned, and access-restricted documents this sector actually holds.
• Retrieval respects existing permissions: Access controls carry through to every query, so the agent never surfaces a passage a user was not already cleared to read.
• Cited answers, human judgment: Every response traces to its source document, and the agent answers and cites while your staff interpret and decide.

CALL TO ACTION:

• Reach out to CustomerSuccess@MAQSoftware.com.
• Learn more at MAQ Software Healthcare & life sciences.