Top 10+ AI Agents in Healthcare: Use Cases & Examples

We previously explained healthcare AI use cases. In this article, I listed the best AI agent examples for healthcare that automate workflows in clinical operations:

• Agents like Sully.ai specialize in general-purpose healthcare automation, executing several business tasks such as medical coding, appointment scheduling, and office administration.

• Some agents can be used for more complex use cases. For example, Hippocratic AI can be used for medical imaging. It can review radiology images and detect lung cancer.

• Others specialize in automating particular healthcare processes. For example, Amelia’s AI agent focuses on patient support. It schedules appointments, answers patient queries, and provides emotional support.

Examples of AI agents in healthcare

General-purpose healthcare agents

Automates multiple business tasks (e.g., scheduling, medical coding, office operations), but not focused on diagnostics or deep clinical applications.

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

• Beam AI – Pretrained workflow automation agents mainly handle predefined EHR/back-office tasks; lighter use of dynamic AI decision-making.

• Innovacer – Combines risk-based care management, real-time analytics including HCC flagging, and end-to-end AI agents with deep EHR integration. Integrates data across systems for ops.

• Notable – Strong in workflow RPA and EHR automation, including HCC (Hierarchical Condition Categories, are sets of medical codes that are linked to specific clinical diagnoses) flagging. Streamlines front- and back-office workflows.

Clinically augmented assistants

AI agents capable of complex clinical tasks such as diagnostic support, risk prediction, or medical imaging review.

• Hippocratic AI – Can analyze medical imaging (e.g., lung cancer detection) and support non-diagnostic care decisions

• Markovate – Custom clinical AI for decision support, data modeling, and imaging analysis

• Innovacer (also listed above) – Includes risk scoring and clinical decision augmentation features

Patient-facing support agents

Specialized in interacting directly with patients, answering questions, providing instructions, scheduling, and emotional support.

• Amelia AI – Focuses on appointment management and patient communication

• Cognigy – Conversational AI agents for self-service tasks like FAQs and triage

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.¹

Sully.ai

Sully.ai offers a platform for doctors to manage their administrative tasks by integrating with Electronic Medical Records (EMR). 

Key features:

• Real-time clinical support: Offers on-the-spot decision support during patient visits by suggesting potential diagnoses and next steps.
  
• 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 patient³
  

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 $141M at a $1.64B valuation.⁴

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.⁵

Innovacer 

Source: Innovaccer⁶

Innovacer offers a suite of AI agents designed to decrease administrative workload. These agents operate 24/7 and automate tasks like scheduling patient appointments, managing referral workflows, and handling routine patient inquiries.

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 ~1,600.⁷

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)⁸

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%.⁹

Amelia AI

Amelia AI Agents can guide the patient through the care journey. They can schedule appointments, answer patient queries, and provide emotional support.

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.¹⁰

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:

Virgin Pulse maintains 40% containment rate with Cognigy

Virgin 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.¹¹

Further reading

• Top 10 Healthcare Analytics Use Cases & Challenges
• Real-Life Applications of Deep Learning in Healthcare
• Chatbots in Healthcare: Insights & Use Cases
• Compare 5 Best AI Agents in Customer Service

External Links

• 1. NVIDIA and GE HealthCare Collaborate to Advance the Development of Autonomous Diagnostic Imaging With Physical AI | NVIDIA Newsroom.
• 2. AI Medical Scribe | AI Scribe - Sully.
• 3. Reducing Burnout: The Story Behind City Health & Sully.ai - Sully.ai.
• 4. Hippocratic AI Completes $141MM Series B Financing Round Led by Kleiner Perkins, Valuing the Company at $1.64B. Business Wire
• 5. WellSpan one of the first major healthsystems to launch Hippocratic AI’s Generative AI Healthcare Agent - WellSpan Health.
• 6. Agents of Care.
• 7. Franciscan Alliance’s Partnership with Innovaccer Yields $2.2 Million in Value.
• 8. Our Case Studies: AI Agents & Agentic Automation | Beam AI.
• 9. Notable Customer | North Kansas City and Meritas Health.
• 10. AI Agents for Healthcare | Amelia. Amelia
• 11. Virgin Pulse | Cognigy.