About OrbVoice
AI-Assisted Clinical Documentation for Improved Patient Outcomes
Our Vision
OrbDoc built OrbVoice, a mobile platform that improves clinical documentation and patient discharge, enhancing patient care and hospital efficiency while saving doctors time.
The Problem We're Solving
- 30% of patients return to hospitals within 30 days due to unclear discharge instructions
- Avoidable readmissions cost $52 billion annually
- Doctors spend excessive time on paperwork, using Electronic Health Records (EHRs) that require thousands of clicks per shift
- Inefficient documentation processes impact patient care quality and workflow
Our Solution: OrbVoice
- Creates patient discharge summaries in under 3 minutes
- Uses secure voice-to-text note-taking and intelligent note structuring
- Works with existing EHR systems
- Includes quick reference medical guides, shift handover tools, and study aids
OrbVoice helps hospitals meet Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), Hospital Readmissions Reduction Program (HRRP), and Hospital Value-Based Purchasing (HVBP) program requirements.
Our Progress
- iOS app available on App Store, targeting 140,000 US medical residents
- In pilot discussions with Community Health Hospital
- In pilot talks with Academic Medical Center
- Conducted 50+ user interviews for product refinement
- Completed gBETA Generator accelerator program
- Plan to expand pilot program to three partners
Our Founders
Abdus Muwwakkil, CEO
With 10+ years in scaling medical devices, Abdus led BD efforts at Current Health, participating in the $400M acquisition by Best Buy Health in 2021. He has expertise in FDA 510(k) submissions, establishing Quality Management Systems, and maintaining compliance with healthcare regulations.
Sudharsan Ananth, CTO
Holding a Masters in Robotics and Mechatronics from NYU, Sudharsan specializes in machine learning and embedded systems architecture. With 7 years of experience in optimizing autonomous vehicle AI, he brings expertise in deep learning models and efficient neural network architectures.
Our Technology
- Proprietary Natural Language Processing algorithms trained on 300,000+ discharge summaries
- Built on scalable cloud architecture
- Exploring patent protection for machine learning techniques