AI Agents for healthcare

AI Agents for healthcare help patients and members get to the right next step faster by automating routine communication workflows like intake, scheduling, follow-up, and support. Unlike legacy IVR menus or basic chatbots, agentic AI for healthcare can understand intent, carry context across a multi-step conversation, and take configured actions within the guardrails set by the organization.

Dialpad brings AI Agents into the communication workflows healthcare teams already use across voice and digital channels. With Dialpad AI Agents, real-time AI, and contact center workflows in one platform, healthcare organizations can automate structured patient and member interactions while keeping clinicians, care teams, and administrative staff involved where human judgment and empathy matter most.

What can AI Agents do for healthcare organizations?

Healthcare leaders are under pressure to improve access, reduce administrative burden, and protect staff time while maintaining safety, privacy, and trust. AI Agents can help by supporting patient journeys that involve multiple steps, from intake and scheduling to follow-up and routine support.

Unlike basic chatbots or legacy IVR systems, AI Agents can gather information, identify intent, trigger configured next steps, route conversations, and hand off to the right person with context when a human needs to step in. Built into Dialpad’s communication and contact center platform, Dialpad AI Agents work alongside existing teams and workflows to help healthcare organizations support patients and members at scale.

Patient intake automation

Long pre-visit forms, manual phone intake, and paper-based workflows can slow down access and create incomplete information before a visit.

Dialpad AI Agents can help guide patients through intake in a conversational way by collecting key details, confirming communication preferences, and summarizing information for staff before the visit. Instead of forcing patients through rigid IVR menus, agentic AI can make intake feel more natural while helping staff start with better context.

Conversational intake can also support better pre-visit experiences, especially when paired with digital handoffs like virtual waiting rooms.

Appointment scheduling and reminders

Scheduling and reminders create a constant administrative workload for front desk, access, and care coordination teams. Calls about booking, rescheduling, cancellations, and reminders can also contribute to long hold times and missed follow-up.

Dialpad AI Agents can be configured to support scheduling workflows 24/7, including gathering intent, confirming routine appointment details, triggering reminders, and routing more complex requests to the right team with context. That can help reduce repetitive phone work while giving patients a clearer path to the next step.

For healthcare teams evaluating AI Agents for patient communication, scheduling is often one of the most practical places to start.

Benefits and coverage Q&A

Patients and members often need help understanding co-pays, deductibles, prior authorizations, in-network coverage, and next steps. These questions can drive high call volume and frustration when patients have to repeat information or wait for the right department.

AI Agents can help answer routine benefits and coverage questions using approved knowledge sources, policies, and workflows configured by the organization. For ambiguous, sensitive, or high-stakes scenarios, the AI Agent can collect context and route the interaction to the right team with a transcript or summary.

These workflows are especially useful in a contact center AI environment where teams need to support high volumes of member and patient questions consistently.

Post-visit follow-up and care gap outreach

Follow-up after appointments, discharges, lab results, or preventive care reminders is critical, but it can also be time-consuming for clinical and administrative teams.

Dialpad AI Agents can help automate routine post-visit check-ins, appointment reminders, and care gap outreach based on configured workflows. They can prompt patients to schedule follow-ups, complete next steps, or respond to basic questions, while routing concerning responses or risk signals to staff for review.

Healthcare teams exploring agentic AI use cases often start with workflows like outreach, follow-up, and structured patient communication because they can reduce manual work without removing human oversight from higher-risk moments.

Triage support and symptom intake workflows

Healthcare access teams receive a wide range of calls, from routine administrative questions to concerns that may need urgent attention. The challenge is helping patients reach the right resource without asking staff to manually evaluate every interaction from scratch.

AI Agents can ask configured intake questions, identify urgency signals or risk language, and route patients based on your organization’s rules. It does not diagnose, prescribe, or replace clinical judgment, and it can help teams prioritize and route patient communication with more context within non-clinical, predefined workflows.

When paired with intelligent call routing, these workflows can help high-priority situations reach the right team more quickly while documenting what the patient has already shared.

Billing support and claims status

Billing and claims teams often handle repetitive questions about statements, charges, payment options, and claim status. Even when the request is routine, patients may still need clear explanations and a path to the right next step.

Dialpad AI Agents can help answer common billing questions, collect necessary details, and guide patients through configured workflows. When a billing issue requires human review, the AI Agent can hand off the interaction with context so patients do not have to start over.

For teams deploying AI Agents across healthcare communication, billing support can be a strong use case because many workflows are structured, repetitive, and rules-based.

Why agentic AI matters for healthcare

Traditional chatbots and basic IVR systems can be useful for simple requests, but healthcare communication is rarely simple. Patients often need help with questions that involve context, timing, eligibility, urgency, and coordination across teams.

Agentic AI is different because it can support multi-step, context-dependent workflows. It can understand what a patient is trying to accomplish, collect the right information, trigger configured actions, and escalate when the interaction requires human judgment.

Because Dialpad AI Agents are built into Dialpad’s communication workflows, healthcare organizations do not need to layer another point solution on top of their existing communication stack. AI Agents, real-time AI, routing, summaries, and conversation insights can work together in one platform, helping teams connect patient conversations to action without rebuilding their core clinical systems.

Understand intent and context across the conversation

Agentic AI can support more natural patient communication because it can follow context across a full interaction, not just respond to a single keyword or menu selection. Dialpad capabilities like sentiment analysis can also help teams identify frustration, confusion, or urgency signals that may require follow-up.

Take action, not just answer questions

The value of agentic AI is that it can support action inside a workflow. That may include gathering intake details, routing a request, triggering a follow-up, generating a summary, or notifying the right team. Dialpad’s broader AI communication capabilities help connect these actions to the communication workflows where patient and member needs show up first.

Support patients and members 24/7

Routine healthcare communication does not always happen during business hours. Dialpad AI Agents can help support structured requests at any time, so staff can focus more of their time on complex, sensitive, or higher-acuity patient needs when they are available.

Build AI into communication workflows

Dialpad is purpose-built for patient- and member-facing communication across voice and digital channels. That makes agentic AI a natural extension of the workflows healthcare teams already use, especially as organizations move from isolated automation toward more connected AI workflows.

Built for healthcare compliance

Healthcare AI has to start with trust, governance, and control. Dialpad supports secure healthcare communication workflows for organizations that handle PHI and sensitive patient information, with controls designed to help teams align with internal policies and regulatory requirements.

Teams can configure deployment, access, permissions, and retention settings based on their organization’s needs while modernizing routine communication workflows with AI.

Key compliance and governance capabilities include:

• Support for HIPAA-compliant communications for eligible healthcare customers

• Encrypted data handling for sensitive information in transit and at rest

• Audit logs and access controls for visibility into who accessed what and when

• Role-based permissions for clinical, administrative, and operational teams