Hippocratic AI

AI healthcare agents for patient communication and care coordination.

Hippocratic AI develops AI agents designed to handle patient-facing communication in healthcare settings — including chronic disease management outreach, pre- and post-visit communication, care gap closure, and appointment preparation — with a focus on delivering interactions that are medically accurate, empathetic, and safe. The platform is built on a proprietary healthcare-specific language model and is designed to augment the capacity of health systems that face persistent staffing constraints in nursing and care coordination roles. Hippocratic AI targets mid-market and enterprise health systems and has notable customers including Froedtert Health and Palo Alto Medical Foundation. It differentiates through its emphasis on patient safety and clinical accuracy as design constraints, rather than adapting a general-purpose AI assistant for healthcare.

Compliance

HIPAA SOC 2

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Key Features

Patient communication agents: Deploys AI agents that conduct outbound and inbound patient conversations — via voice or text — for care coordination tasks such as appointment reminders, medication adherence follow-up, and post-discharge check-ins.
Chronic disease management support: Runs structured outreach programs for patients with chronic conditions, gathering symptom data, reinforcing care plans, and escalating to human clinicians when needed.
Healthcare-specific LLM: Uses a proprietary language model trained and evaluated specifically for healthcare communication, with safety guardrails designed around clinical accuracy and appropriate escalation.
Care gap closure: Identifies and reaches out to patients who are overdue for preventive care, screenings, or follow-up visits, helping health systems improve quality metrics and patient outcomes.
HIPAA-compliant infrastructure: Built to meet HIPAA requirements, with the data handling and security controls that healthcare organizations require for any patient-facing technology.
Scalable per-patient or per-call pricing: Offers a pricing model tied to usage rather than flat seats, making it financially practical for health systems to deploy agents at population scale.

Use Cases

For health systems managing chronic disease populations: A health system with a large population of patients managing diabetes or hypertension uses Hippocratic AI agents to conduct regular check-in calls, gather symptom and adherence data, and flag patients who need clinical follow-up — at a scale that nursing staff alone cannot sustain.
For hospitals reducing post-discharge readmissions: A hospital deploys Hippocratic AI to contact patients after discharge, confirm they are following care instructions and taking medications, and route those showing concerning symptoms back to clinical care before a readmission occurs.
For health systems addressing care coordination staffing gaps: A health system struggling to fill care coordinator and medical assistant roles uses Hippocratic AI agents to handle high-volume, lower-complexity communication tasks, preserving clinical staff capacity for work that requires human judgment.

Pricing MODELS

Enterprise

Pricing Summary

Hippocratic AI uses a custom enterprise pricing model structured around per-patient or per-call usage, making costs proportional to deployment scale. No publicly listed tiers are available — health systems engage with the company directly for pricing.