The ambient voice solution at Medvise.AI focuses on the revenue cycle. According to CEO Gautamdev Chowdary, they have trained their voice-to-text transcription on medical input and made it extremely accurate with full automation. They have also achieved 100% accuracy in billing through a few extra features.
If the conversation did not provide enough information to assign the best ICD or CPT codes, the service asks a few simple questions of the doctor after the visit. The codes can then be assigned and stored in the medical record within 30 seconds.
COO Sean Ross says that a doctor who does not want to take time to review the note can also request a human scribe at Medvise.AI to do the final check. He says that their goal is to “eliminate data entry.”
Many doctors, according to Ross, have used older voice transcription products that work better if the doctor assigns “macros” to represent common strings of text. With Medvise.AI, this is no longer necessary. They allow the doctors to speak naturally and thus take a “cognitive load” off of them.
Watch the video to learn more about how Chowdary and Ross started Medvise.AI, how doctors and hospitals can sign up for it, and more.
Learn more about Medvise.ai: https://medvise.ai/
Check out other articles in our ambient clinical voice series:
- Context Makes Innovaccer More than a Note Generator
- How Comprehend PT Takes Clinical Notes Our of Physical Therapists’ Hands
- Sunoh’s Ambient Clinical Voice Automates Clinician Note Creation
- Corti Becomes Part of the Conversation
- Nuance Is Setting the Bar for Ambient Clinical Voice
- A Look at Nabla Copilot’s Automatic Clinical Documentation
- Fully Automated Medical Scribes Using AI
- Oracle Health Goes Beyond Visit Summaries with Its Use of AI in Their EHR
- Augmedix Derives More Value from Automated Generation of Medical Notes
- Real-Time Clinical Note Generation from Mutuo Health Solutions
- The Evolution of Suki’s Ambient Clinical Voice Solution and What Differentiates It in the Market
- Outsourcing Clinical Notes to an Expert-Machine Collaboration Using Ambient Clinical Voice
- Abridge Aims at Transparency, Reliability, and Credibility with Their Ambient Clinical Voice Solution
- NextGen Focusing on AI to Improve Workflows and on Street Medicine
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