RxGPT
RxGPT is an AI-powered healthcare automation platform that helps hospitals streamline revenue cycle management, clinical workflows, and administrative operations. The platform integrates with existing EHRs and hospital systems to automate claims validation, denial remediation, patient scheduling, and voice-based outreach, with deployment completed in 10–12 weeks.
- Healthcare Technology
- AI Agents
- Artificial Intelligence
- Digital Health
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Hospitals lose significant time and revenue due to manual claims submission, missing pre-submission checks, and fragmented workflows across disparate systems. These operational gaps lead to claim denials, administrative overhead, and delayed care coordination, ultimately slowing cash collection and burdening staff.
Solution
RxGPT runs configurable AI agents that integrate with existing EHRs, claims systems, and contact channels to automate billing, scheduling, and administrative work. The platform automates pre-submission claim validation, continuous denial remediation, and eligibility verification to improve approval rates and accelerate revenue recovery. Clinical automation features include voice agents and smart scheduling that reduce no-shows and streamline patient outreach and intake. RxGPT connects EHRs and third-party systems to orchestrate end-to-end workflows, eliminating manual handoffs and fragmented processes across departments. The platform is designed for deployment in 10–12 weeks and is backed by a risk-free 60-day implementation guarantee.
Target Audience
Primary customers are hospitals and healthcare delivery organizations seeking to reduce administrative burden, improve claims approval rates, and streamline revenue cycle and clinical operations.
Features
- AI-driven pre-submission claim validation and denial remediation workflows
- Voice-based agents for patient outreach, intake, and smart scheduling
- Federated learning architecture that trains models across decentralized hospital systems without transferring raw patient data
- Explainable AI using SHAP and LIME algorithms to provide traceable decision pathways for clinicians
- Automated compliance orchestration engine mapping workflows to HIPAA, GDPR, and ABDM regulatory frameworks
- Integration with EHRs, HIS, ABDM, Ayushman Bharat, UMP, HEM, and other hospital or government systems
- Predictive analytics for patient flow, staffing needs, supply chain demand, and bed occupancy optimization
- Computer vision models for analyzing CT scans, X-rays, ultrasound images, and MRIs to detect anomalies