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DeepScribe

by DeepScribe, Inc. · 2017
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Contact for pricing · DeepScribe uses quote-based pricing. Organisations need to request a demo or contact the company to discuss pricing, implementation, and the features required for their clinical workflows. Public standard subscription rates and a self-service free trial are not listed.
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DeepScribe

DeepScribe is an ambient AI platform for clinical documentation that helps healthcare professionals create medical notes from conversations between clinicians and patients. Rather than requiring clinicians to dictate every section of a note or type throughout an appointment, the platform captures the clinical conversation and uses AI to produce structured documentation for review. Its purpose is to reduce administrative work and help clinicians remain focused on patients during visits.

The company has been developing ambient AI for healthcare since 2017. DeepScribe initially focused on converting patient-clinician conversations into clinical notes, and its platform has expanded to include pre-visit preparation, coding support, note customization, and clinical insights. The product is particularly focused on oncology and other complex specialty workflows, where clinicians may need to consider extensive patient histories, medications, diagnoses, test results, and treatment information.

DeepScribe’s AI Medical Scribe captures conversations during in-person and telehealth appointments and generates a draft clinical note. The system is designed to recognize medical language and organise information into a structured format that clinicians can review and edit. The resulting note is intended to fit into the clinician’s documentation workflow rather than remain as a separate transcript. Clinicians remain responsible for reviewing the generated content and confirming that it accurately reflects the encounter before it becomes part of the medical record.

The platform also includes AI Pre-charting, which helps clinicians prepare for appointments by gathering relevant context from the patient’s chart. This can include information from previous notes, diagnoses, medications, laboratory results, and imaging records, depending on the connected system and available data. The goal is to make relevant information easier to review before the visit begins, reducing the need to search through multiple parts of the electronic health record during an appointment.

DeepScribe’s AI Coding capabilities support clinical documentation and billing workflows. The platform can suggest coding information, including evaluation and management codes and diagnosis-related codes, based on the clinical encounter and available patient context. These suggestions are intended to support the coding process, not replace professional review. Healthcare organisations should validate generated codes against their own policies and applicable billing requirements.

Customization Studio allows organisations and individual clinicians to adjust how clinical notes are organised and written. The company describes more than 50 customization options, including preferences for note structure, phrasing, and level of detail. This is important because documentation requirements can vary by specialty, clinician, and healthcare organisation. Customization can help make generated notes more consistent with existing workflows and reduce the amount of editing required after an encounter.

DeepScribe Assist provides context-aware insights at the point of care. The platform is designed to surface relevant information that can help healthcare teams with documentation and care-related workflows. Its capabilities are intended to support clinicians by making useful information more accessible during and after visits, rather than requiring them to manually search through all available records.

DeepScribe’s EHR integrations are a central part of its product. The company describes native, two-way integrations that allow clinicians to work within supported electronic health record systems. Depending on the integration, the platform can use chart information for pre-visit preparation and send generated notes or coding information back into the record. DeepScribe highlights integrations for oncology workflows and describes support for Epic, OncoEMR, and iKnowMed Generation 2. The exact features available can differ by EHR and implementation.

The platform is particularly relevant to oncology practices and health systems that manage complex patient journeys. Oncology documentation may involve treatment history, test results, medications, diagnoses, and coordination across multiple clinicians. DeepScribe’s specialty-focused workflows are designed to help teams organise this information and reduce repetitive documentation. The company also describes support for other medical specialties, including cardiology, gastroenterology, neurology, orthopedics, and urology.

DeepScribe is designed for healthcare organisations rather than a simple self-service transcription workflow. Implementation may involve configuring the platform for the organisation’s EHR, specialty, note templates, and clinical processes. Pricing and available features are provided through a sales consultation, so organisations generally need to discuss their requirements with DeepScribe before determining the appropriate configuration and cost.

The company states that its platform is HIPAA compliant and describes security measures that include encryption, access controls, multi-factor authentication, and single sign-on. DeepScribe also describes data protection practices for its EHR integrations. Healthcare organisations should review the vendor’s current security documentation, contractual terms, and business associate agreement requirements before using the platform with protected health information.

DeepScribe is not intended to operate as an autonomous clinician or make final medical decisions. Its role is to assist with documentation, chart preparation, coding support, and clinical workflow information. Generated notes and coding suggestions require appropriate review by qualified healthcare professionals. The platform is most useful when integrated into a well-defined clinical process with clear responsibilities for reviewing and approving AI-generated content.

Overall, DeepScribe is a specialised ambient AI documentation platform for healthcare organisations seeking to reduce the administrative burden of clinical recordkeeping. Its combination of visit documentation, pre-charting, coding support, note customization, and EHR integration makes it particularly relevant to oncology and specialty practices. Its main considerations are the need for clinician review, organisation-specific implementation, and quote-based pricing.

Pricing

DeepScribe does not publicly list standard subscription prices. Healthcare organisations must request a demo or contact the company for a quote.

Review

DeepScribe is designed to address a specific challenge in healthcare: the time and attention clinicians spend documenting patient visits. Its ambient documentation approach can help reduce manual note-taking during appointments, while its pre-charting and coding features extend its usefulness beyond transcription alone.

One of the platform’s main strengths is its focus on clinical workflows. Structured notes, customization options, and EHR integration can help organisations incorporate generated documentation into existing processes. Its specialty-oriented approach is particularly relevant to oncology practices, where records can involve complex histories and extensive clinical context.

The platform’s pre-visit preparation and coding support add value for organisations looking to streamline more than the note-writing stage. However, these features depend on the quality and availability of connected patient data, the implementation, and the organisation’s review procedures. AI-generated notes and coding suggestions should always be checked by qualified staff before being used in clinical records or billing.

DeepScribe’s emphasis on EHR integration is also a practical advantage for organisations using supported systems. Native, two-way workflows can reduce the need to move information manually between applications. The trade-off is that the platform is not a universal plug-and-play tool: suitability depends on the healthcare organisation’s EHR, specialty, workflow requirements, and implementation arrangements.

Pricing is another consideration. DeepScribe does not provide a standard public price list or a self-service subscription checkout. Organisations need to contact the company for a quote, which makes it harder to compare costs without a sales discussion. The platform is therefore better suited to healthcare organisations evaluating an integrated documentation solution than to individuals looking for a low-cost transcription app.

Overall, DeepScribe is a strong option for healthcare teams seeking ambient documentation and connected clinical workflows, especially in oncology and other complex specialties. Its value depends on how well it fits the organisation’s EHR and documentation practices, and on maintaining careful clinician review of generated notes and coding suggestions.

Key Features

  • Ambient AI medical scribe
  • Clinical conversation capture
  • Structured clinical note generation
  • AI pre-charting and visit preparation
  • AI-assisted medical coding
  • E/M and diagnosis code suggestions
  • Customizable clinical note templates
  • Customization Studio with 50+ note preferences
  • Context-aware clinical insights through DeepScribe Assist
  • Native EHR integrations
  • Two-way synchronization with supported EHRs
  • Oncology-focused documentation workflows
  • Support for in-person and telehealth encounters
  • Mobile encounter capture
  • Security controls including encryption, access permissions, and multi-factor authentication

Pros & Cons

Pros

  • Helps reduce manual clinical documentation work.
  • Supports structured notes from clinician-patient conversations.
  • Includes pre-visit chart preparation and coding support.
  • Offers note customization for different clinician preferences.
  • Integrates with supported EHR systems.
  • Focuses on complex specialty workflows, including oncology.
  • Designed to keep clinicians focused on patient conversations.

Cons

  • Pricing is not publicly listed.
  • Requires a sales consultation and organisation-specific implementation.
  • EHR integration availability and functionality vary by system.
  • Generated notes and coding suggestions require clinician review.
  • Best suited to healthcare organisations rather than casual or individual transcription users.

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