AI That Actually Works for Medicine.

Built by a surgeon. Proven in real practices. Voice-first AI systems that reduce call volume, improve access, and streamline clinical workflows.

Trusted Across the U.S., Canada & Australia

Paul Toomey, MD is a general surgeon and founder of MedReception.ai, a HIPAA-approved AI platform powering the modern medical front desk.

AI Systems Designed for Real Clinical Workflows

No hype. No chatbots. AI that picks up the phone, books appointments, documents visits, and reduces workload immediately.

Katie AI — Daytime Call Router

Routes, triages, verifies, texts, and schedules. Removes 30%+ of front desk workload.

Annie AI — After-Hours Answering

Night and weekend triage with escalation, directions, voicemail processing, and routing.

Sallie AI — Outbound Scheduling

Books overdue follow-ups and consults with automated text + voice outreach.

Bailey AI — New Patient Onboarding

Collects insurance, demographics, and referral information automatically.

MiniScribe — AI Medical Scribe (Beta)

Early prototypes explored phone dictation; current versions test browser-native workflows to make documentation seamless.

PreScribe AI — Chart Prep Engine

Reads referrals and drafts notes before the visit to reduce physician workload.

The Measurable Impact of Clinical AI Done Right

−30%
Voicemails in 30 days
−25%
Inbound calls to front desk
8 hrs
Staff time saved weekly
<1 sec
Average answer time
See Full Results →

Speaking & Thought Leadership

Keynotes on AI ethics, voice-first interfaces, robotics, workflow automation, and the future of clinical practice.

Invite Me to Speak

In the OR, On Stage, and With Teams

These systems come from day-to-day surgical work, practice management, and national speaking on the future of medical operations.

Paul Toomey speaking on stage
Keynote: Voice-First AI for Clinical Ops
Paul Toomey, MD in the OR
Practicing surgeon building workflow AI
Paul Toomey on a healthcare AI panel
Panel: Ethics + Reliability in Medical AI

Why I Build AI

As a practicing surgeon, I understand the chaos of front desks, referrals, documentation, and after-hours coverage. Every AI I build solves a real clinical burden — not a theoretical one.

Let’s Build the Future of Clinical Workflows