Serelora provides an AI‑augmented electronic health record platform that automates patient intake, ambient scribing, and billing workflows so physicians spend less time at a computer and more time with patients. The system captures structured encounter data, drafts visit notes, coding, and prior authorizations, then automatically surfaces documentation gaps and appeals denied claims, linking every recommendation to source chart entries and medical literature for clinician audit.
Funding
Funding not disclosed
Founders
Product
Problem
Physicians and clinic staff spend significant time on manual patient intake, documentation, coding, and prior‑authorization tasks, which reduces face‑to‑face time with patients and leads to missed revenue from documentation gaps and claim denials.
Solution
Serelora offers an AI‑driven electronic health record platform that automates the entire clinical workflow from intake to paid claim. Intelligent patient intake and ambient scribing convert each encounter into a structured record without manual entry. The system drafts visit notes, billing codes, and prior‑authorization requests, linking each recommendation to the supporting chart data and medical literature. It continuously monitors documentation for gaps, surfaces uncertainties, and automatically generates appeals for denied claims, while requiring clinician approval before any action is executed. All AI outputs are traceable to their evidence sources, ensuring transparency and safety in the high‑stakes healthcare environment.
Target Audience
Primary customers are outpatient clinics, specialty practices, and health systems seeking to reduce administrative burden for physicians and improve revenue cycle efficiency.
Features
- Intelligent, AI‑powered patient intake and ambient scribing that create structured encounter records without manual data entry
- Automated drafting of clinical notes, billing codes, and prior‑authorization requests with provenance links to source chart entries and relevant literature
- Real‑time identification of documentation gaps and automated generation of denial appeals to recover lost revenue
- Clinician approval gates for all AI‑generated recommendations, preserving clinical judgment and auditability
- Integration layer that connects to existing EHR systems, enabling seamless workflow adoption
- Modular pricing with core clinical decision support, billing intelligence, and ambient documentation, plus optional EMR and add‑on modules