A patient conversation
A symptom described, intake captured, and a visit booked in the EMR.
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Patients ask. PatientGPT directs them to the care they need.
PatientGPT talks with your patients about their symptoms, captures structured intake, and guides them to the care setting you want them in — then books it.
Request AccessIllustrativeHe's 4. It reached 102.5 last night.
Thank you. Given his age and how long this has lasted, a same-day visit makes sense. Here is what is open near you:
Virtual urgent careToday, 6:40pm
Pediatric primary careTomorrow, 9:15am
The 6:40 one, please.
Booked for 6:40pm today. I have sent his intake summary ahead to the clinician.
At its core, PatientGPT is your front door.
An AI health assistant that runs under your brand. A patient describes what is wrong in their own words, PatientGPT asks the follow-up questions a clinician would ask, records structured intake, and connects them to care inside your system.
It belongs to your system
Your brand, your clinicians, your care destinations, your policy. Patients stay inside your experience from the first message to the booked visit.
It holds a real conversation
No decision tree. It handles vague, overlapping, and changing symptoms the way an experienced intake nurse would.
It ends in an appointment
The conversation resolves into a scheduled visit written back to the EMR, so the patient leaves with a time and a place.
See PatientGPT in action
walkthroughs of what your patients experience.
Health Check
A guided check-in that surfaces what a patient should act on next.
Voice PatientGPT
The same intake and routing over the phone, for patients who would rather call.
Partner demonstrations.
Safe by design, and evidence you can check.
Safety is the foundation the product is built on, not a feature added later. Every conversation is measured, checked, and backed by clinicians.
Clinically validated
Measured against physician standards, with peer-reviewed evidence of quality. The clinical foundation has been published in Annals of Internal Medicine and Mayo Clinic Proceedings.
The Judge
An automated evaluator scores conversations against your Policy Document and gives a pass or fail, the clause involved, and a plain-language reason. You get an auditable record that the care delivered matches the care intended.
Human in the loop
Clinicians set the guardrails and receive every escalation. The AI does not act alone.
Measured in the open
We report safety the way autonomous-vehicle programs report miles: normalized per thousand conversations, so performance is comparable over time and across sites.
Use cases across the patient journey
Where health systems put PatientGPT to work.
Care navigation
Guides patients to the right service, provider, or next step.
In-basket message management
Drafts and triages patient messages for clinician review.
Weight management
Ongoing coaching and check-ins for weight-loss programs.
Care gap closure
Flags and follows up on overdue screenings and labs.
Chronic condition management
Between-visit support for diabetes, hypertension, and more.
Appointment scheduling and triage
Helps patients book the right visit at the right time.
Medication adherence
Refill reminders and support staying on treatment plans.
Patient education
Answers questions in plain language, around the clock.
Questions we hear most.
Short answers to what partners ask first. For anything else, request access below and our team will follow up.
What is PatientGPT?
PatientGPT is a patient-facing conversational AI from K Health. It is designed to help health systems give patients a clear next step, from information and care navigation to scheduling, messaging, or clinician support.
How is it different from a general-purpose chatbot?
PatientGPT is designed for health-system workflows. Rather than ending with a generic answer, it can be configured around a health system's care destinations, policies, and escalation pathways.
How does a health system keep it safe?
Health systems define the clinical scope and escalation rules. The experience is designed to identify when a patient needs human care and route that patient to the appropriate care team.
Can it work with a patient portal, EHR, and scheduling?
PatientGPT is designed to connect to patient experiences and systems of record. Specific integrations depend on each health system's technical environment and implementation plan.
What about privacy and HIPAA?
K Health works with health-system partners to address security, privacy, and compliance requirements as part of implementation. Your security and compliance teams can review the relevant architecture and controls during evaluation.
See what it does. Try it yourself.
Skip the slides. Get sandbox access and put PatientGPT through the questions your patients actually ask.
Talk to PatientGPT as a patient would- Try the hard cases: ambiguous symptoms, sensitive topics, out-of-scope requests
- See how routing and the Judge respond
- Bring your clinical, digital, and compliance leaders
Request sandbox access
Tell us who you are and we will follow up with access.