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How AI Agents Are Changing Healthcare — 10 Real-World Use Cases

Ai Agents Use Cases9 min readJuly 28, 2025
How AI Agents Are Changing Healthcare — 10 Real-World Use Cases-cover-image

It's about intelligent agents quietly transforming how we work, care, and recover.

At HYKO, we believe in amplifying human expertise—not replacing it. Across the globe, AI agents are being deployed (or piloted) to support everything from administrative operations to clinical diagnosis and mental health support.

Below, we explore 10 standout AI agents—commercial and experimental—that are helping healthcare systems run smarter, faster, and more human-centered.

10 standout AI agents for Healthcare —commercial and experimental

1. 🩺 Sully.ai – The All-in-One Healthcare Assistant

Developer: Sully.ai, Inc.
Focus: Front-desk automation, clinical notes, translations
Status: Deployed
Website (https://www.sully.ai/)

Sully.ai deploys a suite of autonomous healthcare agents—like Receptionist, Medical Scribe, and Translator—that handle intake, documentation, and appointment coordination. Already used by 400+ clinics, it captures data from patient conversations in real time and integrates with EHRs to cut down administrative burden.

💡 Why it matters: Automates the invisible cognitive labor around care delivery—giving staff time back to focus on people.

2. 💬 Cognigy.AI – Smart Conversations with Patients

Developer: Cognigy GmbH
Focus: Patient engagement, appointment scheduling, support
Status: Commercial
Website (https://www.cognigy.com/)

Cognigy agents act as 24/7 front-line support—triaging questions, booking visits, and handling logistics. In healthcare settings, it's been used to reduce chat support volumes by over 70%, with 97% intent recognition accuracy.

💡 Why it matters: A robust conversational layer that improves accessibility without overloading teams.

3. 🧑‍⚕️ Amelia by SoundHound – A Humanlike Virtual Health Agent

Developer: SoundHound AI (originally IPsoft)
Focus: Insurance, billing, clinical inquiries
Status: Commercial
Website (https://www.soundhound.com/voice-ai-solutions/healthcare)

Amelia interacts with patients and staff in natural dialogue. It handles high-volume, high-repetition interactions—like appointment confirmations, insurance queries, and post-discharge instructions. Deployed by Aveanna Healthcare, it resolved 97% of IT/HR staff queries.

💡 Why it matters: Scales organizational support with empathetic automation.

4. 🧠 Notable AI – Automating Admin Workflows

Developer: Notable Health
Focus: Scheduling, referrals, care gap closure
Status: Commercial
Website (https://www.notablehealth.com/)

With low-code tools and AI agents that plug directly into EHRs, Notable automates patient outreach, prior authorizations, and visit reminders. Providers have seen major productivity gains and drops in no-shows.

💡 Why it matters: Operational workflows are often where ROI from AI is highest.

5. 📞 Hippocratic AI – Follow-Up Agents for Safer Discharges

Developer: Hippocratic AI
Focus: Post-discharge monitoring
Status: Piloted
Website (https://www.hippocraticai.com/)

Partnering with Universal Health Services, this agent makes calls to recently discharged patients—checking on symptoms, clarifying medication instructions, and escalating when needed. Early results show high patient satisfaction.

💡 Why it matters: Timely follow-up prevents readmissions and saves lives.

6. 🧾 HealthForce.AI – Back Office, Reimagined

Developer: HealthForce.AI
Focus: Hospital administration, supply chain, claims
Status: Commercial (Europe-focused)
Website (https://www.healthforce.ai/)

HealthForce deploys agents to streamline billing, procurement, and HR. Their AI-as-a-Service model aligns incentives: hospitals only pay for time saved.

💡 Why it matters: Quietly reducing costs in the back office has massive system-wide impact.

7. 🤖 Inbenta Health – Chatbot for Patient Self-Service

Developer: Inbenta
Focus: Patient FAQs, symptom checks, scheduling
Status: Commercial
Website (https://www.inbenta.com/industries/healthcare/)

Inbenta’s agent handles >90% of patient inquiries across chat and voice, ensuring patients get 24/7 support on non-critical issues—like medication instructions or billing.

💡 Why it matters: Human touch where it counts, automation where it works.

8. 🧠 Woebot – CBT-Based Mental Health Chatbot

Developer: Woebot Health
Focus: Mental health support (CBT)
Status: Commercial (FDA-enforcement discretion)
Website (https://woebothealth.com/)

Woebot is a clinical-grade conversational agent that supports users through anxiety, depression, and stress. It’s been shown in studies to reduce symptoms and boost emotional resilience.

💡 Why it matters: Provides always-on mental health support—without judgment or waitlists.

9. 🌍 Wysa – Empathetic AI for Stress & Sleep

Developer: Wysa
Focus: Stress, burnout, emotional support
Status: Commercial
Website (https://www.wysa.com/)

Used by public health programs and employers, Wysa combines AI coaching with human therapist escalation. Its deployment via WhatsApp for teen mental health in India shows the agent’s reach and flexibility.

💡 Why it matters: Low-friction, multilingual access to emotional support.

10. 🧬 Viz.ai – AI-Driven Diagnosis & Care Coordination

Developer: Viz.ai
Focus: Stroke, cardiology, neuro diagnostics
Status: FDA-cleared & deployed globally
Website (https://www.viz.ai/)

Viz.ai analyzes radiological images to detect strokes, aortic aneurysms, and other time-sensitive pathologies—then alerts care teams in real-time. Used in hundreds of hospitals, it's been FDA-cleared for dozens of diagnostic conditions.

💡 Why it matters: AI agents that detect + notify = faster interventions = better survival.

Final Thought: Agents That Serve, Not Replace

The most successful AI agents in healthcare follow one rule: serve humans, don’t replace them. These tools are not about removing professionals—they're about helping them focus on what they do best: care.

Whether it’s reducing backlogs, accelerating triage, or lending a digital ear in tough times, AI agents are already improving outcomes. For healthcare leaders and builders alike, the lesson is clear:

The future of healthcare is hybrid—humans and agents working side by side.

How HYKO Helps You Build AI Agents That Work With You

Hyko builts and trains AI agents for healthcare

Deploying AI agents in healthcare shouldn’t require a team of developers or months of integration. With HYKO, you can create, customize and deploy your own AI agents—all through simple prompting.

Whether you're a clinician, hospital admin, or care coordinator, HYKO lets you teach your agent to replicate your expertise, automate the repetitive, and stay human where it matters.

✅ What You Can Do With HYKO Ai:

  • Teach an agent to process intake forms, triage requests, or answer FAQs—just by showing it how.
  • Connect it to your tools (like email, calendar, EHRs) without writing a single line of code.
  • Deploy safely—with memory, rules, and oversight built in, so the agent stays compliant and on-task.
  • Refine it over time, as your workflows evolve or new needs emerge.

The result? You focus on care. Your AI agent handles the noise.

🚀 Ready to Amplify Your Healthcare Superpowers?

Start building your AI agent with HYKO today—no code, no complexity, just your know-how in action.

👉 Discover HYKO (https://www.hyko.ai/) | Book a Demo

🔗 References

  • Sully.ai (https://www.sully.ai/)
  • Cognigy.AI (https://www.cognigy.com/)
  • SoundHound AI / Amelia (https://www.soundhound.com/voice-ai-solutions/healthcare)
  • Notable Health (https://www.notablehealth.com/)
  • Hippocratic AI (https://www.hippocraticai.com/)
  • HealthForce.AI (https://www.healthforce.ai/)
  • Inbenta Health (https://www.inbenta.com/industries/healthcare/)
  • Woebot Health (https://woebothealth.com/)
  • Wysa (https://www.wysa.com/)
  • Viz.ai (https://www.viz.ai/)

Written by
A

Ayo

Content Manager

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