DeepScribe
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About
DeepScribe is an ambient AI operating system designed to unburden clinicians from the manual labor of charting. Unlike traditional dictation tools, it uses advanced speech recognition to listen to the natural conversation between a doctor and a patient, transforming those interactions into structured, high-quality clinical notes. By operating in the background, it allows providers to focus entirely on the patient rather than a computer screen, helping to restore the human connection in healthcare settings. The platform offers a comprehensive suite of tools including AI pre-charting, which provides clinicians with the full context of a patient's care journey before they walk into the examination room. During the visit, the system's context awareness allows it to pull from past labs, imaging, and medications to refine current documentation automatically. Post-visit, the system automates ICD-10 and HCC coding, ensuring compliant documentation and reducing the administrative hurdles associated with reimbursement. This workflow optimization helps healthcare providers complete their charts before leaving the office. While DeepScribe is used across more than 1,500 healthcare organizations and various specialties like cardiology and neurology, it has a particularly strong foothold in community oncology. It is specifically tuned for the complexities of longitudinal cancer care, documenting interval histories and managing the intricate data delivery required for value-based care initiatives. Its oncology-specific AI is currently set to capture millions of cancer care visits annually, making it a market leader in that highly demanding clinical space. What sets DeepScribe apart is its Customization Studio, which intuitively learns a clinician's specific voice, style, and preferences over time. This leads to a high note satisfaction rating and a performance score of 98.8 in KLAS Spotlight Reports. Furthermore, its deep integrations with industry-standard EHRs like Epic, Athenahealth, and Oracle Health ensure that the transition to ambient AI is seamless.
Pros & Cons
Achieves a high KLAS Spotlight Report score of 98.8 out of 100 for performance.
Supports deep integration with major EHRs like Epic, Athenahealth, and Flatiron.
Features a Customization Studio that learns and adapts to an individual clinician's voice and style.
Specialized AI models specifically designed for complex longitudinal care in oncology.
Automates high-level coding including HCC, ICD-10, and E/M for better reimbursement accuracy.
Pricing information is not publicly available and requires a demo request.
Full functionality depends heavily on successful integration with specific EHR vendors.
The onboarding process requires a structured demo and setup rather than immediate self-service signup.
Use Cases
Oncologists can use the ambient AI to capture complex, multi-year patient histories and interval data without stopping to type during the visit.
Health system administrators can implement the AI coding feature to ensure compliant documentation and maximize reimbursement across large provider networks.
Primary care physicians can utilize the pre-charting tool to review labs and medications automatically before seeing back-to-back patients.
Specialty clinics like cardiology or orthopedics can use the Customization Studio to fine-tune notes to their specific clinical standards.
Platform
Task
Features
• ai pre-charting
• direct ehr integration
• ambient ai medical scribe
• specialty-specific ai models
• context-aware note generation
• deepscribe assist point-of-care insights
• customization studio for voice personalization
• automated clinical coding (icd-10, hcc, e/m)
FAQs
Does DeepScribe integrate with my current EHR?
Yes, DeepScribe integrates with many major EHR vendors including Epic, Athenahealth, eClinicalWorks, and Flatiron. It is designed to flow data directly into the patient's chart to minimize manual entry.
How does DeepScribe handle complex medical specialties?
The platform is fine-tuned for specialized care, particularly oncology, cardiology, and neurology. It uses context-aware models that understand the specific terminology and documentation requirements of these fields.
Is the AI capable of learning a specific clinician's style?
The Customization Studio allows the AI to learn your unique voice and documentation preferences over time. This ensures that the generated notes reflect the clinician's individual style rather than a generic template.
What kind of coding support does it provide?
DeepScribe automates clinical coding for E/M, HCC, and ICD-10. This helps ensure that documentation is audit-ready and that healthcare organizations receive proper reimbursement for services.
How does the pre-charting feature work?
AI Pre-charting summarizes a patient's care journey by pulling forward past notes, labs, imaging, and medications. This allows clinicians to enter a visit fully informed about the patient's history and current status.
Pricing Plans
Custom
Unknown Price• Ambient AI medical scribe
• EHR integration (Epic, Athenahealth, etc.)
• AI pre-charting and context summary
• Automated ICD-10 and HCC coding
• Customization Studio for voice learning
• DeepScribe Assist point-of-care insights
• Context-aware documentation pulling
• Oncology-specific documentation models
Job Opportunities
AI Engineer
Reduce documentation time with ambient AI that captures natural patient conversations, automates clinical coding, and integrates directly into your existing EHR.
Benefits:
Meaningful equity stake in the company
Flexible PTO
Work from home stipend
Medical, Dental, Vision
401K
Experience Requirements:
3+ years building production AI systems
Extensive experience with LLM inference
Experience with ASR systems (e.g. Whisper)
Experience with EHR integrations (FHIR, HL7)
Familiarity with SOC-2, HIPAA, or sensitive data pipelines
Other Requirements:
Strong product sense
Comfortable working across the stack
Obsessed with speed, ownership, and getting real user feedback
Responsibilities:
Develop and own end-to-end AI applications
Improve our LLM-powered documentation platform
Build and optimize inference pipelines
Collaborate closely with PMs, designers, and clinical experts
Launch high-impact features
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Software Engineer, Product
Reduce documentation time with ambient AI that captures natural patient conversations, automates clinical coding, and integrates directly into your existing EHR.
Benefits:
Meaningful equity stake in the company
Flexible PTO
Work from home stipend
Medical, Dental, Vision
401K
Experience Requirements:
Proficiency in Python and/or Typescript/React
Experience in healthcare or EHR integrations
Experience with sensitive data and SOC-2/HIPAA
Experience building and deploying mobile applications
Experience managing and deploying code in AWS
Other Requirements:
Comfortable working across the stack
Move really, really fast while keeping quality bar high
Curious and excited by applying LLMs to healthcare
Collaborative, team-oriented culture
Responsibilities:
Design and implementation of real-time LLM-powered platform
Build and enhance key pieces of the user journey
Collaborate across functions (product, design, sales)
Implement best practices for robust, scalable code
Learn and grow alongside experienced engineers
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Senior Data Engineer
Reduce documentation time with ambient AI that captures natural patient conversations, automates clinical coding, and integrates directly into your existing EHR.
Benefits:
Meaningful equity stake in the company
Flexible PTO
Work from home stipend
Medical, Dental, Vision
401K
Experience Requirements:
5+ years of experience building production data pipelines
Strong experience with Airflow, Prefect, or Dagster
Experience with dbt for transformation and modeling
Proficient in Python and SQL
Experience with Redshift, Snowflake, or BigQuery
Other Requirements:
Experience with AWS data services
Understanding of HIPAA compliance and PHI deidentification
Experience with LLM APIs and AI performance metrics
Responsibilities:
Design, build, and maintain data pipelines
Implement PHI deidentification pipelines
Develop data infrastructure for product analytics
Build and optimize data warehouse (Redshift)
Partner with teams to define data requirements
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Ratings & Reviews
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