DeepScribe
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Overview
DeepScribe is an ambient AI medical scribe and clinical documentation tool designed to automate the charting process. By capturing and analyzing natural clinician-patient conversations in the background, the platform generates structured, context-aware clinical notes directly from the encounter.
While DeepScribe is optimized for specialty medicine—including cardiology, gastroenterology, neurology, orthopedics, and urology—it features a dedicated focus on oncology. The tool integrates with electronic health record (EHR) systems, including specialized platforms like OncoEMR and iKnowMed, as well as general EHRs like Epic, allowing clinicians to access its capabilities directly within their existing workflows.
Key capabilities of the system include:
- SmartPrep: A pre-visit intelligence feature that collates and summarizes relevant patient data, such as past notes, labs, imaging, and medications, before the clinician enters the room.
- Customization Studio: A tool that allows clinicians to personalize note formats and teach the AI individual charting preferences.
- Ambient AI Coding: Support for capturing specialty-specific codes, including E/M, ICD-10, and HCC codes, based on the documented encounter.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI Medical Scribe (captures clinical conversations with extreme accuracy)
- AI Pre-charting (walk into visits prepared)
- AI Coding (E/M, HCC, ICD-10)
- Customization Studio (AI-generated notes match provider workflows)
- DeepScribe Assist (real-time AI insights)
- Ambient AI (optimized for specialty medicine)
- Context-aware documentation (pulls patient's full care journey)
- EHR Integrations (with most widely used EHRs)
- Automated ordering to EHR
- Diagnosis intelligence
Use Cases
- Automate documentation
- Improve coding and ensure proper reimbursement
- Deliver actionable insights at the point of care
- Reduce administrative burden for clinicians
- Improve clinical and financial outcomes
- Enhance clinician well-being by reducing documentation time
What Physicians Need to Know
Ambient Listening Capability
DeepScribe utilizes ambient audio processing to capture natural patient-clinician conversations without requiring dictation or structured input. It processes this audio in real-time, leveraging specialty-tuned AI models to extract clinically relevant information. The system can be activated via a mobile app at the start of a visit.
EHR Auto-Population
DeepScribe offers bidirectional API integration with leading EHRs, enabling seamless syncing of AI-generated clinical notes directly into the appropriate discrete fields of the EHR, eliminating manual copy-pasting. It includes 'AI Pre-charting' which aggregates patient data (history, labs, imaging, prior summaries) from EHRs to create structured pre-visit summaries and inform the current note. The system also auto-populates coding suggestions (E/M, HCC, ICD-10) directly into the EHR.
Note Template Customization
The 'Customization Studio' allows clinicians to personalize AI-generated notes to match their preferred style and workflow. It learns from clinician edits to improve future notes and offers features like custom examination templates, voice-activated macros, adaptive content formatting, pre-built specialty templates, and problem-based plan organization. Users can define the order of subjective sections, adjust HPI formatting, tailor the Review of Systems (ROS), and structure the assessment and plan.
Specialty-Specific Models
DeepScribe is designed with specialty-tuned AI models to understand the nuances and complex terminology of various medical fields. It is optimized for specialties such as oncology, cardiology, gastroenterology, urology, orthopedics, and neurology, with particularly deep training data in oncology.
Dictation Accuracy Rate
DeepScribe reports a 99.92% note approval rating and claims 99% accuracy for transcription, effectively handling accents, background noise, and technical jargon. It also states 32% better accuracy than GPT-4 standalone and 59% better on its proprietary clinical accuracy benchmark. Historically, it included a human QA review layer for every note, though the prominence of this feature on the current website varies.
Real-Time vs Post-Visit Processing
DeepScribe offers a 'Real-Time' feature that generates notes instantaneously as the doctor conducts the patient visit, allowing for live feedback and corrections during the encounter. While historically notes might have been delivered hours post-visit due to a human QA layer, the platform now emphasizes real-time audio processing and rapid note delivery.
Multi-Speaker Recognition
The platform effectively handles standard two-speaker encounters and employs speaker diarization to distinguish between different voices, including the patient, clinician, and any third-parties present.
Note Turnaround Time
DeepScribe's product page indicates that notes sync to the EHR 'in seconds' after the encounter, with an average chart closure time of 1.6 minutes. The 'Real-Time' feature aims for instantaneous note generation during the visit.
Chart Review Features
DeepScribe includes 'AI Pre-charting' to aggregate patient data from EHRs (records, referrals, labs, imaging, prior summaries) for structured pre-visit summaries. It uses 'Context Awareness' to pull relevant patient history into the current note. 'DeepScribe Assist' surfaces real-time clinical insights during encounters, such as HCC coding prompts and documentation requirements, and provides diagnosis intelligence. Clinicians can also trace information in AI-generated notes back to the original transcribed conversation.
Physician Tip
To maximize DeepScribe's benefits, physicians should embrace natural conversation during visits, allowing the ambient AI to autonomously handle documentation. Leverage the 'Customization Studio' extensively to fine-tune note styles and templates to individual preferences and specialty requirements. Utilize 'AI Pre-charting' to review patient context and prepare for visits efficiently. Engage with the 'Real-Time' feature for immediate feedback and corrections, and pay close attention to the AI's coding suggestions (E/M, HCC, ICD-10) to ensure accurate billing and compliance. Promptly review and sign off on notes to benefit from the rapid chart closure times.
DeepScribe offers robust bidirectional API integrations with a wide range of leading Electronic Health Record (EHR) systems. Key integrations include Epic (with support for SmartData elements, Haiku, and Canto), athenahealth, eClinicalWorks, AdvancedMD, drchrono, and ModMed. It also supports integration with specialty-specific EHRs such as iKnowMed (Ontada) and OncoEMR (Flatiron Health). The platform ensures secure and streamlined access management through Single Sign-On (SSO) capabilities.
Details
| Category | Documentation & Scribing, Medical Billing & RCM |
| Pricing | Contact for pricing — Contact for details |
| Deployment | Cloud |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Unknown AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Family Medicine, Internal Medicine |
What the Web Says
DeepScribe is an AI-powered medical scribe platform designed to automate clinical documentation by converting patient-clinician conversations into structured chart notes. It utilizes ambient technology to capture patient visits in real-time, aiming to reduce clinician burnout, improve patient care, and increase revenue. The platform is particularly well-regarded in enterprise healthcare settings and specialty practices, especially oncology, due to its specialty-tuned AI models and deep EHR integration.
Overall: MixedStrengths
- Time-saving and increased productivity, allowing more face-to-face patient interaction.
- High transcription accuracy, particularly with specialty-tuned AI models.
- Seamless integration with various EHR systems, including Epic and DrChrono.
- Excellent and responsive customer support.
- Automated E/M, HCC, and ICD-10 coding capabilities.
- Customizable notes and templates that learn from clinician edits.
Limitations
- Notes often require editing for accuracy, redundancy, or to correct misinterpretations.
- Lack of transparent pricing and no self-service sign-up or free trial, making it less accessible for solo or small practices.
- Notes may not be delivered in real-time due to a human quality assurance layer, sometimes taking hours.
- Inconsistent detail level and occasional difficulty differentiating speakers.
- Limited functionality on mobile devices and potential interruptions during recording if accessing the EMR.
- Narrow focus beyond specialty care, potentially making it less suitable or cost-effective for general primary care.
Based on reviews from: G2, Capterra, Software Finder, DeepCura Resources, Vero Scribe, Reddit, Elion Health, DeepScribe.ai, Marvix AI, DeliverHealth, Twofold, Software Advice, HealOS.ai, AWS Marketplace
Last updated: 2026-07-17
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Press & Coverage
PR Newswire
DeepScribe Introduces SmartPrep, Comprehensive Pre-Visit Intelligence for Oncology
DeepScribe, a leader in ambient AI for oncology, launched SmartPrep, a pre-visit clinical intelligence product that automates the gathering, organizing, and summarizing of relevant clinical information for oncology customers. This aims to reduce manual pre-visit work and improve clinician preparedness for patient encounters.
2026-04
DeepScribe AI (Research & Whitepapers)
Study Shows DeepScribe AI Improves Diagnosis Capture and Clinician Experience in Oncology
A study published in the Journal of Clinical Pathways in August 2025 found that DeepScribe's ambient AI improved the accuracy and clinical richness of oncology documentation, capturing 16% more diagnoses per visit and significantly increasing the documentation of comorbidities and social determinants of health.
2025-08
DeepScribe AI (In the News)
DeepScribe Wins Three Awards at 2025 KLAS Emerging Solutions Top 20 Event
DeepScribe received three Top 5 placements in KLAS Research's 2025 Emerging Solutions Top 20, specifically for Improving Outcomes, Improving Patient Experience, and Improving Clinician Experience, highlighting its impact in specialty care.
2025-10
PR Newswire
DeepScribe Solidifies Ambient AI Leadership in Oncology with New Study and Accelerated Growth
DeepScribe announced a study demonstrating its ambient AI solution significantly improves oncologists' diagnosis capture, documentation quality, and clinician experience, alongside significant expansion in oncology groups.
2025-09
DeepScribe AI (In the News)
DeepScribe and Flatiron Health announce partnership to bring oncology-specific ambient AI to Flatiron's 4,200+ providers
DeepScribe partnered with Flatiron Health to integrate its oncology-specific AI documentation with Flatiron's OncoEMRu00ae, aiming to reduce charting time for over 4,200 providers in community-based cancer care.
2025-01
DeepScribe AI (In the News)
DeepScribe Unveils Automated E/M Coding, The Latest AI Addition To Its Ambient Operating System
DeepScribe introduced automated Evaluation and Management (E/M) medical coding as part of its Ambient Operating System, aiming to streamline billing workflows and ensure accurate reimbursement for healthcare organizations.
2025-03
DeepScribe AI (In the News)
DeepScribe Prepares for Future Ambient Solutions with Epic Integration
DeepScribe announced updates to its integration with Epic, including full integration of its Customization Studio with Epic's SmartData elements, to lay the groundwork for future ambient solutions and streamline workflows.
2024-01
DeepScribe AI (Research & Whitepapers)
DeepScribe Outperforms GPT-4 by 59% on AI Medical Scribing: A Benchmark Study
A benchmark study revealed that DeepScribe's specialized documentation engine was 59% more clinically accurate than OpenAI's GPT-4 in a real-world medical environment, attributed to DeepScribe's training on millions of real medical encounters.
2024-unknown
Videos
Product demos, reviews, and walkthroughs for DeepScribe.
DeepScribe Ambient AI
Frequently Asked Questions
DeepScribe functions as an ambient AI medical scribe, capturing natural patient-physician conversations using an iOS app on an iPhone or iPad. It then generates structured clinical notes, such as SOAP notes, and offers specialty-specific templates, along with AI coding suggestions for E/M, HCC, and ICD-10. This process aims to reduce documentation time significantly, allowing physicians to focus more on patient care and integrating seamlessly with major EHR systems like Epic and athenahealth.
DeepScribe is HIPAA compliant and holds SOC 2 certification, ensuring stringent data security and privacy standards. It employs end-to-end AES-256 encryption for all data, both in transit and at rest, and de-identifies Protected Health Information (PHI). Furthermore, DeepScribe requires a Business Associate Agreement (BAA) and implements robust access controls, multi-factor authentication, and regular employee training to safeguard sensitive information.
DeepScribe is generally not ideal for solo practitioners or small groups due to its enterprise-focused pricing model and complex sales process, which lacks transparent public pricing or self-service signup. While it offers high accuracy, some reports indicate that notes, particularly those involving a human-in-the-loop QA layer, might arrive hours after the encounter rather than in real-time. Additionally, the platform currently only supports iOS devices and has a limited scope beyond documentation and coding, lacking features like an AI receptionist or fax management.
DeepScribe does not publicly disclose its pricing, requiring a demo and custom quote, but estimated costs range from $350-$500+ per provider per month, typically with mandatory annual contracts. EHR-integrated plans may incur an additional cost, and smaller practices might face one-time setup fees. Due to this enterprise-grade pricing and sales model, DeepScribe is generally considered best suited for large health systems and specialty practices, particularly in oncology, rather than budget-conscious solo or small practices.
Physicians have several alternatives to DeepScribe, including Suki AI, Heidi Health, Abridge, HealOS (formerly Scribehealth.ai), and Augmedix. These alternatives vary in their features, pricing models, and target audiences, with some offering more transparent pricing or being better suited for smaller practices. Evaluating these options based on specific clinic size, specialty, workflow, and budget is recommended to find the best fit.
DeepScribe boasts high accuracy, reporting a 99.92% note approval rating and 95-98% transcription accuracy, especially in specialty areas like oncology where its AI models are extensively trained. While its proprietary HEAL LLM claims to outperform GPT-4 in clinical accuracy, a human-in-the-loop quality assurance layer has historically been a central differentiator for institutions requiring auditable documentation. This human review helps ensure the highest level of clinical accuracy and defensibility, though it can sometimes impact the speed of note delivery.
DeepScribe explicitly states that it does not practice medicine, provide medical or other professional clinical advice, or make diagnostic, treatment, coding, billing, or other clinical decisions or recommendations. The DeepScribe Services and associated content are not intended to replace clinical providers or the competent analysis and professional judgment of a healthcare professional. Its role is solely to convert patient-clinician conversations into medical documentation, aiding in administrative tasks.
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| Last Verified: 2026-04-18 | First Added: 2026-04-18
Investors who backed DeepScribe
Funded through the company that built this tool.
