Clinical AI is artificial intelligence designed for use by clinicians at the point of care. Unlike general-purpose AI, clinical AI is grounded in clinical evidence, sources every answer to its references, is aligned with current clinical guidelines and standards, deploys in HIPAA-compliant environments, and integrates with the tools clinicians actually use — chat, ambient documentation, agents, and workflows. Lumen by Intracav is a clinical AI platform built around these constraints.

How is clinical AI different from ChatGPT or general AI?

General-purpose AI like ChatGPT is trained on the open web and answers in a single voice. Clinical AI is built to do the opposite: retrieve from authoritative clinical sources (guidelines, peer-reviewed literature, manufacturer IFUs, hospital policies), show those sources with every answer, and operate inside the regulatory and safety constraints that healthcare requires. Clinical AI is also typically deployed in HIPAA-compliant environments — and, in Intracav's case, can run air-gapped on-premise.

What can clinical AI do for clinicians?

Useful clinical AI can answer drug-interaction questions with sources; suggest ICD-10 and CPT codes; help build a differential and a workup plan; summarize the latest evidence on a topic; draft clinical documentation, discharge instructions, and prior authorizations; check renal dosing; surface clinical calculators; and run multi-step workflows like prior-auth or insurance appeals. Lumen does all of these — and shows its sources every time.

What should I look for when evaluating clinical AI tools?

Five things: (1) Every answer cites authoritative sources you can verify. (2) The tool is built around clinical workflows, not retrofitted from a general chatbot. (3) The vendor signs a BAA and meets your security and data-residency requirements. (4) Content can be governed by your organization (custom policies, custom guidelines). (5) The vendor has clinicians on the team — preferably as founders, not as advisors.

Lumen is Intracav's clinical AI platform. It includes Chat (sourced clinical Q&A), Agents (multi-step workflows like prior authorization, clinical scribe, diagnostic workup), and Workflows (a builder for combining tools, agents, and logic into custom pipelines). Lumen is free for individual clinicians; Lumen Max scales it to whole departments; and Lumen for Enterprise gives a health system a dedicated organization-scoped instance.

How is Intracav different from other clinical AI vendors?

Three things. First, Intracav was founded by clinicians who place lines for a living — not by AI researchers who hired a clinical advisor. Second, every layer of the stack is ours (Lumen, qPolicy, and the open-source MagicAF framework underneath), so organizations can deploy us in the cloud or air-gapped on-premise. Third, our content footprint extends beyond the app: the open Clinical Database is a free, structured clinical reference that the entire field can use, whether or not they ever sign up for Lumen.

Is clinical AI free for clinicians?

Lumen is free for individual clinicians — RNs, MDs, NPs, PAs, residents, and students — with no credit card required. Paid tiers (Lumen Max and Enterprise) are for teams, departments, and health systems that need shared workspaces, admin controls, SSO, audit logs, organization-scoped content, and a dedicated instance.

Can clinical AI run on-premise without cloud?

Lumen and qPolicy are built on Intracav's open-source MagicAF framework, which supports on-premise and air-gapped deployment with zero cloud dependencies. This makes Intracav appropriate for organizations with strict data-residency requirements — including federal, defense (SIPR/NIPR), and hospitals with no-cloud policies for PHI.

A guide for clinicians, teams, and health systems

What is clinical AI?

Q: Is clinical AI safe? Doesn't it hallucinate?

Hallucination is the most common safety failure mode of general-purpose AI. Clinical AI mitigates this by using retrieval-augmented generation (RAG): the model retrieves authoritative sources first and answers from those sources, citing them so the clinician can verify before acting. Lumen pairs RAG with curated clinical content (the open Clinical Database, manufacturer Extensions, and a hospital's own qPolicy library when deployed in enterprise) — and every answer is accompanied by its sources.

Q: Is clinical AI HIPAA compliant?

It depends on the product. Intracav is HIPAA compliant; enterprise deployments include SOC 2 Type II and ISO 27001 certifications, and Intracav signs Business Associate Agreements with enterprise customers. For organizations that cannot allow PHI to leave their network at all, MagicAF (the framework underneath Lumen and qPolicy) supports on-premise and air-gapped deployment.

Clinical AI is artificial intelligence built for clinicians — sourced, evidence-grounded answers at the point of care. It is not a general-purpose chatbot. It is built around the constraints that matter in healthcare: provenance, safety, compliance, and the workflow of a busy clinical shift.

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Definition

Clinical AI, defined.

Clinical AI is artificial intelligence designed for use by clinicians at the point of care. It is differentiated from general-purpose AI by five constraints:

Grounded in clinical evidence. Answers retrieve from authoritative sources — guidelines, peer-reviewed literature, manufacturer IFUs, hospital policies.
Sourced. Every answer cites the references it drew from, so a clinician can verify before acting.
Aligned with clinical standards. Uses current guidelines (CDC, SHEA/IDSA, INS, ACEP, SCCM, NCCN, etc.) — not yesterday's snapshot.
Deployable under healthcare's constraints. HIPAA, BAA, SOC 2, ISO 27001, and — when needed — air-gapped on-premise.
Integrated into clinical workflow. Available where clinicians work — chat, ambient documentation, agents that run multi-step tasks, workflows that automate pipelines.

If a tool fails any of these constraints, it is general-purpose AI being marketed for clinical use — not clinical AI.

Clinical AI vs. general AI

Two very different problems.

	General-purpose AI	Clinical AI (Lumen)
Trained on	Open web	Curated clinical evidence + retrieval
Sources every answer	No	Yes — every answer
HIPAA-compliant by default	No	Yes (BAA available)
Air-gapped / on-premise	No	Yes (via MagicAF)
Built around clinical workflow	No	Chat + agents + workflows
Hallucination-resistant	Partial	RAG-grounded with cited sources
Org-specific policies & content	No	Yes (qPolicy + Enterprise Lumen)

What it can do

The clinician's daily questions, answered.

Drug interactions & dosing

Real-time interaction checks, renal/hepatic dose adjustment, and pediatric weight-based dosing — sourced.

Coding & documentation

ICD-10 and CPT lookup, SOAP notes, discharge summaries, prior authorization letters, and appeals.

Differential & workup

Build a ranked differential and a workup plan from a clinical scenario — with sources.

Vascular access & procedures

PICC, CVC, midline, port, and arterial line care; CLABSI prevention bundles; vessel health.

Literature search

Search PubMed and summarize the highest-quality evidence on a topic — sources cited.

Multi-step workflows

Agents and workflows automate pre-auth, intake, clinical scribe, insurance appeals, and more.

Evaluation checklist

How to evaluate a clinical AI tool.

Use this when comparing clinical AI vendors. If a tool fails any of these, it is not built for healthcare.

1
Every answer cites authoritative sources.
If you can't verify, you can't use it.
2
Built for clinical workflow, not retrofitted from a chatbot.
Chat, agents, workflows, ambient documentation, integrations.
3
Vendor signs a BAA and meets your security & data-residency requirements.
HIPAA, SOC 2 Type II, ISO 27001 — and on-premise / air-gapped if you need it.
4
Content can be governed by your organization.
Your policies, your guidelines, your formulary — scoped to your org.
5
The team includes clinicians — preferably as founders, not advisors.
Healthcare is built by people who do the work. The same is true of healthcare AI.

Why Lumen

Clinical AI built by the people who do the work.

Three reasons clinicians and health systems choose Intracav.

Clinician-founded

Founded by a trauma surgeon & vascular access medical director, an Interventional Vascular Access Specialist RN, and an engineer. Clinical AI built by people who do the work.

The whole stack is ours

Lumen (clinician app), qPolicy (enterprise compliance), and MagicAF (open-source Rust framework) — so we can deploy in the cloud, on-premise, or fully air-gapped.

An open content footprint

The Clinical Database is a free, structured clinical reference for the field — usable whether or not you ever sign up for Lumen.