healthcare
Quality & Compliance
representative

Mapping PHI Flows Across Clinical and Administrative Systems

A hospital network cannot produce an accurate map of where protected health information moves between its EHR, imaging, billing, and analytics systems.

Runs onRaksha

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

Integrations have accumulated over fifteen years with no central record of what data each one carries.
Breach impact assessment is guesswork without knowing which systems hold which PHI.
Vendor risk reviews cannot be scoped without knowing what a vendor actually receives.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Integration Discovery

Data flows between clinical, administrative, and analytics systems are discovered from live traffic and configuration rather than from documentation.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

An accurate, maintained map of PHI movement rather than an outdated diagram.
Breach impact assessment scoped against known data flows.
Vendor risk reviews scoped by actual rather than assumed data sharing.

Capabilities this relies on

policy compliance
document intelligence
risk scoring
evidence audit trail
alert routing
in boundary deployment

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