The Ambient AI for ICD-10 Coding Intelligence

Streamline medical coding to improve patient care and accelerate the revenue cycle management process.

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ICD-10 Coding Intelligence

DeepScribe formats plan items by combining previous ICD-10 codes from the EHR with newly suggested codes from the current conversation.

"We’re seeing instances where providers are able to charge for a more complex visit than they would have previously while saving 4-5 hours across the week.”

James Lindsey

Principal, IT Strategy & Innovation
Texas Oncology

How DeepScribe generates ICD-10 codes

3 paths to accurately detail your patients’ conditions.

Suggested codes

DeepScribe recommends new ICD-10 codes based on the natural conversation with your patient.  

Direct translation

DeepScribe translates diagnoses mentioned by the physician during (or after) the visit into the corresponding ICD-10 codes

Pull forward

DeepScribe pulls in existing diagnosis codes from your EHR’s problem list within the note as part of patient history.

Unparalleled accuracy

Our ambient AI model was refined using more than 5 million labeled patient conversations, resulting in documentation that’s more accurate than human scribes – and 59% more accurate than GPT-4 alone.

“My documentation is better, our billing is better, and the patient experience is better.”

Scot Ackerman, MD, FACR

Radiation Oncologist
Ackerman Cancer Center

Standout results = better outcomes

80%+ clinician adoption

DeepScribe specialty AI models can accelerate adoption in the first 30 days of deployment.

34% more ICD-10 codes

AI generates the right diagnosis codes, improving coding accuracy and billing cleanliness.

4,000,000+ ICD-10 codes

DeepScribe automatically captures all ICD-10 codes — more than 4 million per year.

1.6 min chart closure time

Our automated, accurate scribing turns hours of documentation time into just minutes.

Enterprise-grade Ambient AI for private practices

AI Medical Scribe

DeepScribe leverages the most advanced speech recognition models, allowing for the natural conversation between clinician and patient to be captured with extreme accuracy.

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AI Coding

DeepScribe automates complete and compliant coding with real-time insights and audit-ready documentation, reducing administrative burden and ensuring proper reimbursement.

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Customization Studio

Fine-tune DeepScribe’s AI-generated notes to match provider workflows and improve adoption.

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Patient note
Sophia Walsh
10:30AM

Subjective

CHIEF COMPLAINT: Patient presents today for a left rotator cuff tear sustained from a skiing accident that occurred a couple of weeks ago when she hyper-extended her arm. HPI: She is currently in a sling but has not been seen prior to today. Immediately after the injury, she felt intense pain but had limited lateral motion in her left arm. She reports normal gripping strength but has difficulty with reaching upwards and to the sides. She is able to reach in front of her and behind her back. Pain does radiate from the deltoid towards the triceps. Patient is always concerned of a supraspinatus tear. Patient is understanding that an arthroscopic surgery may be necessary.

Objective

Musculoskeletal: Normal grip strength. No tenderness of biceps. Some weakness in the arm. ROM to 25o of the supraspinatus.

Assessment

M75.102 Unspecified rotator cuff tear or rupture of left shoulder, not specified as traumatic

Plan

Recommended to start physical therapy x6 treatments. Prescribed Ibuprofen 800 mg TID PRN. Consider MRI and arthroscopic surgery if needed. Follow up after a couple of sessions of therapy or sooner if symptoms persist or worsen.

DeepScribe Assist

Surfacing key insights at the point of care, helping health systems achieve their most important quality and value-based goals.

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