Our Mission

Evidence-based architecture for agentic AI in healthcare.

Start with one clinical problem you already own — a safety event, a care gap, a guideline nobody follows. CarePathIQ turns it into an evidence-graded, consensus-reviewed pathway your institution can actually deploy.

Free to explore, and free to take part in someone else’s panel or review.

Clinician and patient connecting at the bedside, with clinical pathway flowchart in the background

Why local matters

General-purpose clinical AI answers from the literature. It can’t know your consultants, your transfer agreements, or what your community can support.

Your pathway does. CarePathIQ authors decision logic for your place — which specialists take call, where patients transfer, what resources exist after discharge — then deploys it where care happens.

Why you can put your name on it

The AI drafts. It does not decide, and it does not assert.

Graded in code, not asserted by a model

Every citation is verified against the source record and every recommendation is graded by a rule that runs the same way every time. The guideline is compiled from content you captured and confirmed — the AI does not write it.

Sealed by your clinicians, not ours

Contested recommendations route to a blinded consensus panel of your own people, with the rounds, the disagreement metric, and the audit trail kept intact. Sitting on a panel or reviewing a case is free for everyone, always.

No patient data, by architecture

Authoring, panels, guidelines, and education hold no patient information at all, so no business associate agreement is required to use them. Only the two features that genuinely handle patient data sit behind one — and they stay switched off until it is signed.

About

Built by a clinician, for clinicians.

CarePathIQ is the work of Tehreem Rehman, MD, MPH, MBA, a practicing emergency medicine physician and board-certified clinical informaticist who has lived the burden it is built to lift, and believes the frontline should shape the AI entering their workflows.