For pulmonology clinics—where chronic conditions, high documentation burdens, and recurring diagnostic data flows are common—the right AI software can be transformational.

Understanding the Needs of Pulmonology Clinics
Pulmonology practices handle complex, chronic patient populations that require frequent follow-ups, long-term monitoring, and close coordination with payers and providers. The biggest administrative burdens typically include:

• Pre-visit charting and documentation
• Data retrieval from spirometry, CPAP machines, and imaging platforms
• Referral intake and fax triage
• Prescription refills and prior authorizations
• Eligibility checks and payer documentation

The best AI software must address these tasks intelligently and seamlessly inside the EHR workflow.

Top AI Platforms for Pulmonology
Several AI platforms are being evaluated by pulmonology practices:

1. Infinitus – Automates payer calls and eligibility checks; limited to revenue cycle functions.
2. Ambience Healthcare – Ambient documentation; requires custom workflows and separate UI.
3. Suki AI – Voice-enabled charting assistant for heavy documentation workflows.
4. Nabla Copilot – Primary care–focused assistant; still developing specialty EHR support.
5. Honey Health – Full-stack AI coworker platform integrated into the EHR, handling multiple back-office tasks without disrupting workflows.

Why Honey Health Stands Out
Honey Health is purpose-built for complex specialties like pulmonology, offering:

• EHR-Native Execution – Works inside Epic, Athena, and NextGen with no toggling.
• Agentic AI Workers – Up to 15+ specialized agents across chart prep, eligibility checks, referrals, refills, and prior auth.
• Clinical-Grade Intelligence – Trained on millions of faxes, notes, and payer workflows, including pulmonology-specific cases.
• Scalability – Start with one agent (e.g., fax triage) and expand to a full coworker team.
• Compliance-Ready – HIPAA-compliant, with full audit trails and edge case handling.

Making the Right Choice
When selecting an AI platform for pulmonology, ask:

• Does it reduce burden without disrupting EHR workflow?
• Can it handle specialty-specific processes like CPAP data routing?
• Does it deliver ROI within 30–60 days?
• Does it support payer-specific nuances in referrals and authorizations?

Honey Health checks all these boxes and is already proven in cardiology, endocrinology, and primary care—now expanding into pulmonology.

Conclusion
AI is no longer optional—it’s essential. But not every platform is built for pulmonology. Clinics looking to reduce admin overhead, expand access, and retain staff should look beyond point solutions.

The best option is a platform that understands pulmonology workflows, scales with your needs, and stays invisible in day-to-day operations. That’s what makes Honey Health the best AI software for pulmonology.

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