Conversational AI for Healthcare & Patient Engagement

How it works

01

Connect

Work across EHRs, scheduling systems, pharmacy tools, patient portals, and payer platforms without forcing replatforming.

02

Orchestrate

Deploy AI agents that guide patients through scheduling, refills, intake, triage, and coverage questions, aligned to clinical, operational, and compliance requirements.

03

Scale

Build reusable workflow components that can be extended across channels, service lines, and patient journeys, creating more continuous patient experiences as coverage expands.

HEALTHCARE USE CASES

Built for high-value, high-stakes conversations

Access to Care and Scheduling

Automate the front door to care across booking, rescheduling, cancellations, reminders, and intake so patients can move forward faster and staff spend less time on repetitive coordination work.

Medication Refill & Prescription Support

Guide patients through refill requests, renewal status checks, pharmacy selection, and medication follow-up with workflows that reduce delays and support adherence. Sensitive steps can be routed into the right review process without making patients start over.

Pre-Visit Intake & Visit Readiness

Prepare patients for care by collecting forms, history, symptoms, and consent information before the visit, helping organizations reduce delays and improve operational readiness.

Benefits, Coverage and Billing Guidance

Help patients understand eligibility, deductibles, prior requirements, and next steps using guided interactions grounded in approved healthcare content. This reduces confusion around coverage and helps patients move forward with fewer dropped journeys.

Care Navigation & Provider Matching

Help patients find the right provider, service line, or next step based on symptoms, plan, location, and care context, turning healthcare navigation into a guided experience instead of a fragmented search task.

Triage & Symptom Checking

Support symptom capture and structured next-step guidance that helps patients understand whether to self-serve, schedule, follow up, or escalate to clinical support.

Care Coordination and Follow-up

Support post-visit follow-up, care instructions, status updates, and handoffs across channels so patients do not lose the thread between appointment, treatment, and next action. This is especially useful for ongoing or multi-step care journeys.

A patient asks whether an MRI is covered and the agent verifies their plan, with the execution flow showing member verified, plan checked and coverage confirmed

Dialogue system

Reliable patient interactions that lead somewhere

Rasa provides a dialogue system designed for enterprise AI agents, combining natural interaction with structured execution. Teams can define how conversations behave, while ensuring outcomes remain consistent across high-stakes workflows.

Guide multi-step service interactions from request to next action
Maintain context even when patients change direction or return later
Keep workflows aligned to care delivery and operational requirements
Reduce friction without sacrificing reliability

Deployment control

Infrastructure aligned to healthcare requirements

Rasa fits into healthcare environments that need stronger control over systems, privacy, and deployment choices.

Run in private cloud, on-prem, or hybrid environments
Keep patient-related data within trusted boundaries
Support privacy, security, and governance requirements
Work with existing infrastructure instead of forcing replatforming

Rasa sharing one patient case across scheduling, billing and claims, the EHR, pharmacy and the care team

A prior authorization request moves through patient verification and clinical criteria checks to approval, with the reasoning and logs available to review

Multi-agent orchestration

Connected workflows across the care journey

Rasa helps organizations orchestrate reusable workflows across systems and channels so patient experiences remain continuous as services expand.

Reuse workflows across scheduling, intake, refills, and navigation
Connect app, portal, chat, voice, and messaging experiences
Support cleaner handoffs between automated and human support
Scale across service lines without duplicating logic

Open framework and ownership

Full ownership and extensibility

Rasa gives healthcare teams control over how workflows behave, how systems connect, and how the platform evolves over time.

Modify workflows, integrations, and operational logic directly
Extend services without waiting on vendor roadmaps
Adapt to new care models, policies, and patient needs
Build on a platform your team can operate long term

A patient asks to refill a blood pressure prescription and the agent checks history and eligibility, then sends it to the provider for review because the dose changed

14.5%

Drop in fallback rates (nib Group)

50%+

Containment rate for automated interactions (nib Group)

40+

Flows for health plan sales automated in a single assistant (nib Group)

Grace acts as a multi-purpose patient-facing assistant — booking appointments, routing based on symptoms, and helping users navigate their care journey entirely through our app.

Providence Health

Digital Innovation Team

We've built a scalable, compliant platform with Rasa that supports real patient needs and drives measurable outcomes. CALM gives us a framework to keep that momentum going, with the flexibility to grow responsibly as expectations around AI continue to evolve.

Wayne Foley

Director Software Engineering, Digital Innovation Group, at Providence

RESOURCES

Resources

CASE STUDY

Providence Health

Automates Patient Tasks Across the Care Journey. Providence deployed Rasa-powered assistant “Grace” to handle scheduling, care navigation, and MyChart access for patients.

Read story

CASE STUDY

nib Group

Unifies Five Bots into One with Rasa CALM. nib consolidated five bots into a single assistant, achieving a 14.5% drop in fallback rates and 50%+ containment.

Read story

GUIDE

Best AI Agents by Vertical: The Ultimate Enterprise Guide

What determines AI agent success by industry: technical requirements, regulatory constraints, and operational realities that separate production-ready deployments from proof-of-concept demos that never scale.

Read story

How Rasa compares

Healthcare organizations use Rasa when they need more than a chatbot layer. Rasa gives teams the control of building in-house, the speed of using a platform, and the governance required to operate AI agents in regulated healthcare environments.

View all comparisons

Rasa vs. Google Dialogflow

Open platform vs. cloud lock-in

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Rasa vs. Amazon Lex

Enterprise flexibility vs. AWS-only ecosystem

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Rasa vs. IBM watsonx Assistant

Developer control vs. managed service

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Rasa vs. Kore.ai

Infrastructure ownership vs. SaaS-only

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Frequently asked questions

What healthcare workflows can Rasa automate?

Rasa helps healthcare organizations automate common but high-friction workflows such as scheduling, intake, refills, navigation, and follow-up, reducing administrative burden while improving continuity for patients.

Is Rasa suitable for regulated healthcare environments?

Yes. Rasa supports deployment in private cloud, on-prem, and hybrid environments, giving healthcare organizations stronger control over infrastructure, data handling, and governance.

Can Rasa support both voice and digital healthcare experiences?

Yes. Rasa enables one coordinated system across chat, voice, portal, app, and messaging channels, helping organizations deliver more continuous patient experiences.

Can Rasa work with existing healthcare systems?

Yes. Rasa integrates with EHRs, scheduling platforms, patient portals, pharmacy systems, payer tools, and internal APIs through integrations and connectors.

What healthcare organizations use Rasa?

Organizations such as Providence Health and nib Group use Rasa to support healthcare service delivery at scale. Providence used Rasa to power patient-facing experiences around scheduling and care navigation, while nib Group used Rasa to unify multiple service experiences into one more consistent member journey.

How is Rasa different from other healthcare AI platforms?

Most healthcare bots either answer questions or route patients elsewhere. Rasa supports AI agents that can guide patients through real workflows across systems, while giving healthcare teams more control over deployment, integrations, and long-term ownership. It is built for organizations that need continuity, visibility, and adaptability in regulated environments.

Can Rasa support multi-channel healthcare experiences?

Yes. Rasa enables one connected experience across chat, voice, patient portals, messaging, and mobile apps. Patients can move across channels without restarting from the beginning, and healthcare teams can extend the same workflows across touchpoints instead of maintaining separate logic in each one.

How does Rasa handle patient triage and symptom checking?

Rasa supports structured symptom capture and next-step guidance that helps patients move to the appropriate level of care. Healthcare teams can define how follow-up questions, urgency checks, and escalation paths should work, creating guided experiences that are more consistent, reviewable, and operationally safe.