Top 10+ AI Agents in Healthcare with Examples (original) (raw)

We previously explained healthcare AI use cases. We list AI agents for healthcare that automate clinical operations workflows.

Explore AI agents in the healthcare industry, including tools used for general tasks, patient-facing support, and clinically assisted decision-making:

AI agents in healthcare industry

General-purpose healthcare agents

These agents automate administrative and operational tasks (e.g., scheduling, medical coding, and office operations). They do not provide diagnoses.

Sully.ai

Sully.ai using systems to execute tasks1

Sully.ai provides an agentic architecture across intake, coding, billing, and triage with a focus on modular AI agents. Automates documentation, intake, scheduling, and admin tasks.

Key features:

• Voice-to-action functionality: Translates physician speech into EMR actions using voice recognition.
• HIPAA compliant: Ensures that data handling and processing comply with HIPAA standards.
• Multilingual capabilities: Supports 19 languages.

Examples of Sully.ai’s AI agents:

Real life use case: CityHealth automates healthcare with Sully.ai

CityHealth integrates Sully.ai’s AI healthcare platform directly with their electronic medical records (EMRs) to reduce time spent on patient care.

Sully.ai automated:

• medical documentation
• reduced the need for manual edits
• enabled real-time data entry during consultations.

Results:

• ~3 hours/day saved per clinician through reduced charting time
• 50% decrease in operations per patient2

Beam AI

Beam AI offers a multi-agent system for healthcare management to automate medical record-keeping, healthcare billing, medical compliance, patient appointment scheduling, etc.

Examples of Beam AI healthcare agents:

Real-life use case: Avi Medical automates healthcare and customer service with Beam AI

Avi Medical partnered with Beam AI to deploy multilingual AI agents. Beam’s agents retrieved relevant data from databases to answer complex customer queries. Thanks to agents’ capability to access external data via APIs. AI agents handled high-volume, routine inquiries (70% of tickets).

Results:

• 80% of patient inquiries were automated
• 90% reduction in median response time
• 10% boost in Net Promoter Score (NPS)3

Innovacer

Source: Innovaccer4

Innovaccer offers a suite of AI agents focused on value-based care and operations. Its agents support decision-making, not diagnosis.

Examples of Innovacer healthcare agents:

Real-life use case: Franciscan Alliance streamlines coding with Innovaccer

Indiana-based multi-specialty physician network, Franciscan Alliance, uses Innovaccer’s platform to automate coding processes.

Results:

• Innovaccer’s physician engagement solution helped streamline coding processes, resulting in a ~5% improvement in coding gap closure.
• Automated protocols reduced the expected number of patient cases from ~2,600 to ~1,600.5

Notable Health

Notable Health uses AI agents to automate administrative tasks like patient registration, appointment scheduling, referrals, care authorization, and coding, all integrated with EHRs.

Real-life use case: North Kansas City Hospital automates patient appointments with Notable

North Kansas City Hospital (NKCH) faced inefficiencies in patient check-ins and registration. NKCH partnered with Notable to automate various administrative workflows such as vaccine scheduling.

Results:

• Over 90% reduction in patient check-in time (from 4 minutes to 10 seconds).
• 80% of patients were pre-registered, up from 40%.6

Clinically augmented assistants

These systems assist clinicians with analysis and prioritization. They do not replace medical judgment.

Hippocratic AI

Hippocratic AI is a healthcare-focused artificial intelligence company that developed the first Large Language Model (LLM) specifically for non-diagnostic (e.g., patient engagement, follow-ups, insurance coordination) and patient-facing clinical tasks.

The company recently secured 141Mata141M at a 141Mata1.64B valuation.7

Examples of Hippocratic AI’s agents:

Real-life use case: WellSpan Health and Hippocratic AI partnership

WellSpan Health partnered with Hippocratic AI to launch a GenAI healthcare agent that handles patient engagement calls. These agents can contact Spanish-speaking and English-speaking patients, address their health needs and schedule screenings.

Result:

• The system enabled WellSpan Health to contact over 100 patients, improving access to critical cancer screenings.8

Patient-facing support agents

These agents specialized in interacting directly with patients, answering questions, providing instructions, scheduling, and offering emotional support.

Amelia AI

Amelia AI Agents can guide patients through their care journey. They can schedule appointments, answer patient queries, and provide empathetic conversational responses.

Real-life use case: Aveanna Healthcare uses Amelia agents for customer support

Aveanna uses Amelia AI Agent to manage repetitive employee interactions via Workday and mobile apps. The agent now handles password resets, user authentication, and other HR-related tasks.

Results:

• 560+ daily employee conversations managed by the AI agent
• 95% of employee requests were resolved through the Workday chat.9

Cognigy

Cognigy’s agents are conversational AI agents for healthcare, providing support with insurance claims, prescription refills, and post-treatment care instructions.

Cognigy offers 30+ voice and digital channels out-of-the-box, from iMessage to WhatsApp and Twitter.

Cognigy AI Agent use cases for healthcare:

• ID&V (Identity Verification)
• Make & change appointments
• Medical billing
• Update insurance
• Digital intake process (submit personal and medical information digitally)
• Refill requests

Real life use case: Personify Pulse maintains 40% containment rate with Cognigy

Personify Pulse implements Cognigy’s tool and integrates it with Zendesk LiveChat to handle customer inquiries.

Results:

• Containment rate: Cognigy’s AI agent handled 40% of customer inquiries without human intervention.
• Automated ticket creation: The system automatically created support tickets, streamlining the follow-up process.10

Amazon Health AI Assistant

Amazon launched an AI health assistant for Prime members in March 2026 that converses about symptoms, triages requests, schedules appointments, and connects to medical records.11

It is highly customizable and scalable within AWS ecosystem. AI health assistant requires integration and configuration.

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Are healthcare AI agents truly agentic?

At their core, AI agents perform tasks, make decisions, and take actions without needing human help.

→ For now, healthcare agents are not fully autonomous; most still require ‘humans in the loop’ for task execution.
→ Yet, these agents possess several agentic capabilities, including:

• Autonomous data retrieval: Retrieve patient data from the system, including personal details and medical history.
• Data validation and accuracy verification: Cross-check the data against existing records for accuracy.
• Autonomous data validation and issue flagging: Validate the verified data and flag discrepancies for resolution.
• Autonomous data updating and record management: Update the patient record with the validated information.

Will healthcare AI agents become fully autonomous?

What we are seeing in today’s healthcare AI agents is “supervised autonomy,” where AI handles the heavy lifting of research (e.g., data extraction from lab reports) and repetitive tasks (e.g., recording patient vital signs) execution, but with human oversight at key decision points.

These agents are still far from delivering fully autonomous, production-ready results in complex medical use cases, such as patient placement and image scanning.

In the future, these systems could evolve into multi-agent networks, where different AI agents collaborate and interact, gradually improving towards more agentic solutions.

For example, tech companies like NVIDIA and GE HealthCare collaborate to build agentic robotic systems like X-ray and ultrasound, which use medical imaging to operate in the physical world.12

Further reading

• Healthcare AI Use Cases with Examples
• Compare 5 Best AI Agents in Customer Service

Cite this research

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Cem Dilmegani (2026) - "Top 10+ AI Agents in Healthcare with Examples". Published online at AIMultiple.com. Retrieved March 27, 2026, from: https://aimultiple.com/ai-agents-in-healthcare [Online Resource]

Dilmegani, C. (2026, March 27). Top 10+ AI Agents in Healthcare with Examples. AIMultiple. https://aimultiple.com/ai-agents-in-healthcare

@misc{dilmegani2026, author = {Dilmegani, Cem}, title = {{Top 10+ AI Agents in Healthcare with Examples}}, year = {2026}, month = mar, howpublished = {\url{https://aimultiple.com/ai-agents-in-healthcare}}, note = {AIMultiple. Retrieved March 27, 2026} }

Cem Dilmegani

Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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