Hippocratic AI has introduced two new voice-based AI solutions aimed at transforming how healthcare organisations interact with patients and support clinical staff: AI Front Door and Nurse Co-Pilot. Both tools are built on the company’s Polaris safety architecture, which has been validated across millions of patient interactions and thousands of clinicians to ensure high levels of clinical accuracy and safety.
AI Front Door is designed to replace fragmented call centres and traditional “digital front doors” with a single, continuous patient interface. Instead of routing patients through multiple systems, the AI agent can handle a wide range of needs—such as appointment scheduling, lab result questions, billing issues and care follow-ups—within one ongoing conversation. It retains patient history and preferences across interactions, enabling a more personalised, relationship-based experience. The system also extends beyond basic queries by coordinating referrals, arranging logistics like transportation and keeping caregivers informed, all across multiple communication channels including phone, text and app-based interactions. Early deployments are already underway with organisations such as Cincinnati Children’s Hospital Medical Center.
Alongside this, the company launched Nurse Co-Pilot, a voice AI assistant built specifically for inpatient nurses and developed in collaboration with Cleveland Clinic, OhioHealth and Cincinnati Children’s. The tool focuses on reducing workload by automating time-intensive but essential tasks such as patient education, admission guidance, caregiver instructions and medication adherence support. Nurses can initiate AI-driven calls directly from the electronic health record, after which the system documents the interaction and feeds structured summaries back into the patient record. By offloading these repetitive workflows, the tool can return several hours per shift to direct patient care while maintaining full clinical oversight by nursing staff.
Together, the two products reflect a broader shift toward using AI to address longstanding capacity constraints in healthcare, aiming to improve access, streamline operations and enhance both patient and clinician experiences.
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