DeepScribe
Also known as: DeepScribe AI
Ambient AI scribe built for oncology and other specialties, with pre-visit chart summaries (SmartPrep), coding in the note (E/M, ICD-10, HCC), style learning from clinician edits, and two-way integration with Epic, OncoEMR and iKnowMed.
DeepScribe builds an ambient AI platform for specialty care, centered on oncology, which it calls an Ambient Operating System. The clinician opens the app at the start of the visit, picks the patient from a synced schedule and talks naturally; DeepScribe drafts the note inside the EHR, carrying forward prior notes, labs, imaging, medications and diagnoses, and the clinician reviews it and signs off. SmartPrep builds a structured pre-chart summary from every source in the EHR before oncology visits.
AI Coding recommends E/M levels in real time and suggests ICD-10 and HCC codes by combining past EHR data with the conversation. Customization Studio learns from each clinician's edits, turns them into defaults for future notes, and lets clinicians adjust them in plain language, with logic per encounter type. Conversations are supported in more than 110 languages, in person and in telehealth.
Integrations are native and two-way with Epic, OncoEMR and iKnowMed Generation 2, and the vendor states SOC 2, HIPAA, single sign-on, multi-factor authentication and AES-256 encryption. No public API or model provider is documented. Founded in 2017 with Matthew Ko as CEO and cofounder, DeepScribe lists investors including Index Ventures and Foothill Ventures and names oncology customers such as Texas Oncology, The US Oncology Network, Tennessee Oncology, Florida Cancer Specialists and Ochsner Health.
Vendor details
Canonical URL
https://www.deepscribe.ai
Category
Healthcare agent
Subcategory
Clinical documentation
Funding status
Independent; founded 2017, CEO and cofounder Matthew Ko. Investors listed on the about page include Index Ventures, Foothill Ventures, Bee Partners, 1984, The House Fund, Stage 2 Capital, Industry Ventures, Berkeley SkyDeck and Wavemaker; amounts are not stated.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Native two-way integrations with Epic, OncoEMR and iKnowMed Generation 2: notes and E/M, ICD-10 and HCC codes are generated inside the EHR with bi-directional sync, and clinicians select patients from a synced schedule. Supports patient conversations in more than 110 languages, in person and in telehealth. No public API is documented.
In practice
Your oncologists run 45 minute longitudinal consults that generalist scribes butcher. DeepScribe's oncology tuned models pull forward prior notes, labs, and imaging and document at specialty depth.
Coding happens days after the visit and revenue leaks. DeepScribe builds HCC, CPT, and ICD-10 suggestions into the note as it is written, with audit ready documentation.
Notes arrive generic and every clinician rewrites them their own way. Customization Studio learns each provider's documentation style from day one and refines from their edits.
Sources & related URLs
Agentic Index coverage score
5.5 / 14 capabilities · 39%
| Integrations & Tool Calling | Full |
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Native two-way integrations with Epic, OncoEMR and iKnowMed Generation 2: notes and E/M, ICD-10 and HCC codes are generated inside the EHR with bi-directional sync, and clinicians pick patients from a synced schedule. Earlier listings for athenahealth, NextGen and eClinicalWorks are no longer on the current integrations page. Sourcedeepscribe.ai/ehr-integrationsread 2026-09-28 |
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| Workflow Orchestration | Partial |
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SmartPrep summaries before the visit, the ambient scribe and AI coding run as fixed stages of one ambient platform. No flow with multiple agents, and no flow the buyer configures, is documented. Sourcedeepscribe.airead 2026-09-28 |
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| Knowledge Grounding & RAG | Partial |
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SmartPrep pulls from every source in the EHR into a structured pre-chart summary, and the scribe carries prior notes, labs, imaging, medications and diagnoses into the day's note; this is context assembled from the chart per visit, with no maintained retrieval structure documented. Sourcedeepscribe.ai/solutions/smartprepread 2026-09-28 |
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| Human Oversight & Guardrails | Full |
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Review and sign off is a named step of the product workflow: the clinician reviews the drafted note and signs it before it is final, so a confirmation comes before anything enters the record. Sourcedeepscribe.ai/solutions/ai-medical-scriberead 2026-09-28 |
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| Security, Identity & Governance | Full |
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SOC 2 and HIPAA badges on the homepage, with single sign-on, multi-factor authentication and end-to-end AES-256 encryption stated on the integrations page. A trust center sits at trust.deepscribe.ai, though its controls are not shown publicly. Sourcedeepscribe.ai/ehr-integrationsread 2026-09-28 |
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| Observability & Auditability | Not documented |
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No audit trail, source linking or step by step record of what the scribe read and wrote is published. The coding documentation is described as ready for billing audits, but that covers the note itself, the output, rather than a record of the agent's work. Sourcedeepscribe.ai/solutions/ai-codingread 2026-09-28 |
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| Memory & State Persistence | Partial |
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Customization Studio learns from each clinician's edits, proposes customizations that become the default, lets the clinician adjust them in natural language, and applies them from the next encounter, with logic per encounter type; scope is per clinician, and no lifetime or deletion path for these customizations is stated. Sourcedeepscribe.ai/solutions/customization-studioread 2026-09-28 |
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| Deployment & Data Residency | Not documented |
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No hosting provider, region or option to run in the customer's own environment is published, and the controls behind the trust center are not publicly visible. US processing is not stated on the current site. Sourcedeepscribe.ai/ehr-integrationsread 2026-09-28 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Specialty tuning for oncology, cardiology, gastroenterology, neurology, orthopedics and urology, and the four solutions (AI Medical Scribe, SmartPrep, AI Coding, Customization Studio), are variants and modules the vendor builds on one platform rather than agents or templates a buyer adopts on their own. Coding depends on the scribe's note, so the modules do not stand apart from one another. Sourcedeepscribe.airead 2026-09-28 |
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| Triggers & Channel Coverage | Partial |
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The clinician opens the app at the start of the visit and selects the patient from a synced schedule; capture works in person and in telehealth across 110+ languages, but no autonomous wake on an event or schedule is documented, and SmartPrep timing is not stated. Sourcedeepscribe.ai/solutions/ai-medical-scriberead 2026-09-28 |
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| Model Flexibility & Routing | Not documented |
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Proprietary ambient scribe technology and speech recognition models are described, with no model provider named and no customer model choice or routing documented. Sourcedeepscribe.ai/aboutread 2026-09-28 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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No API, SDK or developer documentation for DeepScribe's own platform is linked; integration runs through native EHR connections. Sourcedeepscribe.ai/ehr-integrationsread 2026-09-28 |
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| Testing, Debugging & Optimization | Not documented |
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No customer evaluation or testing surface is published. The KLAS score, note satisfaction rating and coding metrics are results the vendor reports about itself. Sourcedeepscribe.airead 2026-09-28 |
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| Browser & Computer Use | Not documented |
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No browser or computer use is documented; notes and codes reach the EHR through native two-way integrations. Sourcedeepscribe.ai/ehr-integrationsread 2026-09-28 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
DeepScribe partnered with Flatiron Health to integrate its ambient AI technology directly with OncoEMR. This integration brings oncology-specific AI documentation capabilities to approximately 4,200 providers across 800 sites in the United States.
Bears on: Integrations
View sourcePricing
Contact sales
Inference, not stated by the vendor: per clinician or provider.
Included quota
Enterprise license per provider including specialty tuned models, bidirectional EHR integration, AI coding, pre visit intelligence, and the Customization Studio.
What is public
Solutions, EHR integrations and SOC 2 and HIPAA badges are public; no prices, plans or trial are published.
Billing mechanics
Not published; sold through sales.
Variable cost rationale
Inference, not stated by the vendor: a per clinician license is the likely shape, so cost tracks headcount rather than usage; no rate or meter is published.
Additional watchouts
Built around oncology and other specialties; no published rates or self-serve route to test before procurement.
Overage / add-ons
No usage metering documented; flat per provider enterprise licensing.
Sales call required
Yes, required for paid access
Free / trial
No self-serve trial published
Lowest paid plan
None public
Commercial notes
Independent; founded 2017, CEO and cofounder Matthew Ko; investors listed include Index Ventures and Foothill Ventures. Serves 2,800+ clinics and health systems per the about page.
Key ambiguities
No vendor rate, billing unit or packaging is published.
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Alternatives to DeepScribe
The closest documented capability profiles to DeepScribe among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Abridge6.5 / 14Adds documented Observability & Auditability
- Commure7.0 / 14Fuller documented coverage on Workflow Orchestration and Prebuilt Agents, Templates & Packs
- Freed5.5 / 14Adds documented Observability & AuditabilityDeepScribe vs Freed →
- mdhub7.5 / 14Adds documented Observability & Auditability
- Suki6.5 / 14Adds documented Observability & Auditability and APIs, SDKs & MCP ExtensibilityDeepScribe vs Suki →
- Claim Health6.0 / 14Adds documented Observability & Auditability
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded