Local Guidelines x AI

The AI access layer for local clinical guidance.

GuidelinesIQ helps clinicians find trusted answers from local guidance, with page-level citations and figures visible at the moment they need them.

Live product pattern

Source-grounded retrieval for local guidance

Clinician

What activates the massive transfusion protocol?

GuidelinesIQ

The protocol states activation when the ABC score is at least 2 or when clinical judgment indicates imminent exsanguination. It specifies a 1:1:1 ratio of RBC, FFP, and platelets.

Massive Transfusion Protocol · p.1Massive Transfusion Protocol · p.5

Why this matters

Users can see the answer and the source together instead of relying on an opaque summary.

Page-linked source chips

Local guideline stays primary

Pathways remain visible for verification

Institution validation

Each institution can review how its own guideline set performs before it is used as a live clinical reference tool.

Parse and index local files

Validate retrieval on local content

Review readiness before go-live

Built for institution-specific rollout

GuidelinesIQ is designed around each institution's own guidance, review process, and rollout needs rather than a one-size-fits-all clinical AI claim.

Built to support institution-specific rollout

Source-linked answers with document and page-level citations

Figure-aware retrieval for pathways, flowcharts, and algorithms

Designed for non-PHI local guideline access

What’s lacking in clinical AI right now

The problem is not that hospitals lack guidance. The problem is that the guidance is too slow to retrieve, too hard to inspect, and too easy for generic AI to distort.

Clinical guidance exists, but access is broken.

The right answer is often buried in a PDF, image-heavy pathway, or scanned protocol at the exact moment speed matters most.

Generic LLMs are the wrong tool.

They answer from broad priors, not your local standard of care. That creates fake certainty without a usable trail back to policy.

National guidance is not local workflow.

Reference tools and national-scale medical LLMs can be useful, but they do not understand your local protocols, escalation pathways, consult expectations, or operational constraints. Clinical work still happens in the local setting.

Why GuidelinesIQ is different

This is not a chatbot wrapped around a PDF. GuidelinesIQ is built around local guidance retrieval, visible evidence, and workflows that fit the way care teams already work.

Grounding

Every answer points back to the local source.

GuidelinesIQ keeps the answer tied to the local guideline with citations, page references, and visible excerpts.

Figures

Pathways stay visual.

Figure-aware retrieval keeps the actual algorithm, table, or pathway visible alongside the answer instead of reducing it to a simplified summary.

Workflow

Built for real clinical roles.

The same local guidance can support bedside lookup, teaching, and review without forcing teams into a generic AI workflow.

Get in touch or help improve the site

Use these paths to request a pilot, ask for help, or tell us how the public site can be clearer and more useful.

Survey

Improve the website

Tell us where the messaging is unclear, where trust drops, or what information is missing from the public site.

Open the survey

Request

Make a request

Use a structured intake for pilot requests, feature requests, partnership outreach, and demo follow-up.

Open request form

Support

Get support

Ask product questions, report website issues, or request help finding the right next step.

Open support form

See GuidelinesIQ in action.

Explore the product, request a pilot, or contact our team.

Request a pilot Log in Contact our team