AI agent for healthcare

An AI agent for healthcare is a conversational assistant that answers patient questions in real time, guides next steps, and automates administrative work. Text's AI agent runs on your site, portal, chat, and email to provide multilingual support, route complex cases to a human, and keep context across channels. Built for the healthcare industry, it helps reduce wait time, improve patient access, and raise patient satisfaction while your staff focuses on direct patient care.

Healthcare AI agents use agentic AI to reason over approved content, policies, and data, then trigger safe workflows. In practice, the AI agent: Receives a patient query. Retrieves policy-based information. Checks eligibility and routing rules. Takes action (forms, ticketing, appointment scheduling). Measures confidence/accuracy. Completes the case or transfers to a human. This design keeps the agent effective on routine tasks and careful with complex cases.

High-impact use cases include: Patient access and intake: registrations, referrals, coverage steps, and scheduling. Plan and services guidance: match a patient to the right line of care or program. Administrative tasks: ticket creation, status checks, reminders, and abandoned-form recovery. Multilingual support to lower call volume and reduce response time. By starting with these use cases, teams reduce queues, improve self-service, and free staff to focus on higher-value care.

Text's platform is built for healthcare organizations with HIPAA on demand and strong controls (SOC 2, GDPR, CCPA). The AI agent only uses permitted data, respects role-based access, and routes complex cases to a human when needed. Audit trails, redaction options, and clear scopes help maintain accuracy, safety, and governance. Clinical decisions stay with licensed providers; the agent assists with navigation and operations.

Accuracy comes from verified sources, policy-based prompts, and AI-driven checks. The platform tracks accuracy by topic and flags low-confidence cases for human review. Analytics show what to improve — content gaps, workflows that need tuning, or data sources to update — so the AI agent steadily gets better while keeping response time low.

Text connects to your help center, CRM, ticketing, identity, and scheduling systems. AI agent reads approved data, follows your policies, and writes back outcomes (tickets, notes, form status) for end-to-end management. You control which sources the agent may use, which processes it can act on, and when to escalate to a human. This keeps support aligned across channels and organizations.

Yes. When the agent detects a complex scenario or low confidence, it passes the full context — conversation, forms, and relevant data — to a human coordinator or contact-center teammate. That handoff avoids repeat questions, shortens handle time, and keeps care continuity intact.

By automating repetitive questions and routine tasks (intake capture, eligibility checks, status updates, reminders), the AI agent reduces manual work so staff can regain time for patient care. Teams report faster responses, fewer back-and-forth loops, and clearer next steps, letting clinicians spend more time with the patient and less time on follow-ups.

Most teams see shorter response times, higher completed forms, lower call volume, and better follow-through on treatment plans. The platform quantifies deflection, handle-time reductions, and CSAT so you can make a clear business case. Over time, insights highlight content to update and workflows to refine, driving stronger outcomes for patients and support operations.