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OR Scribe

orscribe.com

Website unreachable since Oct 25, 2026

The platform uses AI to automate surgical billing processes, ensuring accurate coding and claim submission. By streamlining billing workflows, the platform reduces administrative overhead and accelerates revenue cycles for surgical practices.

Traction –/10
HQ unknown
25+ followers
  • Artificial Intelligence
  • Enterprise Software
  • Healthcare Technology
  • Software Only
Updated 5 months ago

Funding

Funding rounds are not available yet.

Founders

1 founder

OR Scribe

Chief Executive Officer

Product

Problem

Surgical practices face challenges with manual billing processes, leading to errors, omissions, and rejected claims. These inefficiencies result in delayed payments, reduced revenue, and increased administrative overhead for both providers and physicians.

Solution

ORScribe offers an AI-powered platform designed to automate and enhance surgical billing procedures. The platform generates real-time operative reports directly in the operating room, eliminating the need for post-operative paperwork and reducing the risk of coding inaccuracies. By streamlining the billing workflow, ORScribe ensures faster, more accurate claim submissions, minimizing rejected payments and accelerating the revenue cycle. This allows providers and physicians to focus on patient care rather than administrative tasks, ultimately optimizing financial performance.

Target Audience

ORScribe primarily targets surgical practices, hospitals, and healthcare providers seeking to improve billing accuracy, reduce administrative costs, and accelerate revenue cycles.

Features

  • AI-driven operative report generation in real-time during surgical procedures
  • Automated coding and claim submission processes
  • Identification and elimination of errors and omissions common in manual billing
  • Integration with existing healthcare systems for seamless data transfer
  • Real-time documentation to minimize post-operative paperwork
This profile is AI-generated and may contain inaccuracies.