GenHealth.ai Launches AI-Powered Order Automation Solution for Home and Durable Medical Equipment (HME / DME) Providers

Revolutionizing DME Operations: Seamless Automation from Intake to Billing

BOSTON, MASSACHUSETTS / ACCESS Newswire / June 4, 2025 / GenHealth.ai today announced the launch of its AI-powered automation solution specially designed for Durable Medical Equipment (DME) and Home Medical Equipment (HME) providers, helping relieve the burden of complex workflows such as medical order intake, eligibility verification, and prior authorizations. This launch marks a major expansion of GenHealth.ai's mission to bring intelligent, scalable automation to healthcare operations-boosting accuracy, reducing delays, and accelerating access to care.

Developed in close partnership with early DME customers, GenHealth.ai's platform streamlines the medical order lifecycle using new advancements in AI and Large Language Models (LMMs)-combined with deep integrations into existing EMR and billing systems-specifically for DME and HME providers.

Key capabilities include:

  • Automated Patient Intake: Consolidates all incoming orders-fax, email, EHR, and portals-into a single inbox. Processes even handwritten forms and fills in data to billing systems and electronic medical records.

  • Real-Time Coverage & Eligibility Checks: Verifies insurance coverage through clearinghouses or direct payer integrations, extracting key plan-level details like deductible status, coverage limits, and co-pays.

  • Medical Necessity & Prior Auth Submission: Compares clinical documentation-such as physician notes-against payer policy requirements, identifying gaps in real time, ensuring every order is audit-ready before it hits the billing queue.

  • Seamless Billing Integration: Pushes claim-ready orders directly into systems like Brightree and NikoHealth, eliminating rekeying and toggling between platforms.

  • Deep Insight into Payment Analytics: Compare reimbursement rates against historical benchmarks and peer performance metrics using GenHealth's Large Medical Model (LMM).

Early Results: Less Manual Work. Higher Accuracy

Across early implementations, GenHealth.ai has delivered:

  • 4x increase in orders processed per employee

  • 50% reduction in manual review time

  • 95%+ alignment with human utilization management (UM) decisions

"With AI, customers are able to bring on our AI agent to help their existing teams process more cases and increase revenue while reducing administrative costs." said Ethan Siegel, CPO. Ricky Sahu, CEO, added "DME providers deserve tools that reduce friction across every step of the order process-and they shouldn't have to rip out their systems to make it work. Our AI integrates into existing customer apps without disrupting how their teams work today."

Expanding the Vision for Smarter Healthcare Operations

In addition to the DME solution, GenHealth.ai has developed a prior authorization automation solution for providers, designed to accelerate access to high-cost therapies such as GLP-1s and chemotherapies. By combining AI, patient charts, and payer-specific coverage logic, the platform helps providers achieve faster patient-centered approvals-resulting in higher approval rates.

GenHealth.ai will be showcasing these capabilities live at the VGM Heartland Conference in Waterloo, IA, on June 10-11, 2025 and at ENDO 2025 in San Francisco, CA, on July 12-14, 2025.

About GenHealth.ai

GenHealth.ai is a healthcare automation company building AI-powered infrastructure for modern care delivery. The company's platform uses a proprietary Large Medical Model (LMM) to understand real-world clinical data, payer requirements, and operational workflows. GenHealth.ai helps providers, DME suppliers, and care teams reduce administrative burden, improve accuracy, and accelerate patient access to care-all through intelligent, end-to-end automation.

To learn more, contact hello@genhealth.ai or visit www.genhealth.ai

Contact Information

Mike Maseda
Head of Operations
marketing@genhealth.ai

.

SOURCE: Genhealth AI



View the original press release on ACCESS Newswire

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