JSON twin: https://www.healthaidb.com/software/deepscribe.json
DeepScribe
https://www.deepscribe.ai/medical-scribe
DeepScribe is an AI-powered ambient medical scribe that converts clinician–patient conversations into specialty-specific, EHR-ready clinical notes and coding suggestions.
DeepScribe uses ambient speech recognition and clinical NLP to capture visits in real time, generate customizable structured notes, surface coding (E/M, HCC, ICD-10) and point-of-care insights, and sync notes directly into widely used EHRs.
yes
2017
P0458
2025-09-07
commercial/proprietary
Contact vendor for pricing; demo and trial information available on request.
enterprise_quote
2017
product
1.0
{
"company_name": "DeepScribe",
"company_url": "https://www.deepscribe.ai/",
"company_offices": [
"United States",
"United Kingdom"
],
"company_founding": "2017",
"product_url": "https://www.deepscribe.ai/medical-scribe",
"categories": [
"clinical",
"administrative",
"revenue cycle",
"specialty-specific",
"ambient AI"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://www.deepscribe.ai/",
"https://www.deepscribe.ai/medical-scribe",
"https://www.deepscribe.ai/about",
"https://www.deepscribe.ai/ehr-integrations",
"https://trust.deepscribe.ai/",
"https://www.deepscribe.ai/contact",
"https://elion.health/products/deepscribe",
"https://www.g2.com/products/deepscribe/reviews",
"https://www.deepscribe.ai/resources/deepscribe-sets-record-first-ai-scribe-to-capture-1-million-patient-visits",
"https://www.deepscribe.ai/klas"
],
"summary": "DeepScribe is an AI-powered ambient medical scribe that converts clinician–patient conversations into specialty-specific, EHR-ready clinical notes and coding suggestions.",
"description": "DeepScribe uses ambient speech recognition and clinical NLP to capture visits in real time, generate customizable structured notes, surface coding (E/M, HCC, ICD-10) and point-of-care insights, and sync notes directly into widely used EHRs.",
"target_users": [
"clinicians",
"physicians",
"nurse practitioners",
"medical assistants",
"health systems",
"billing/coding teams",
"administrators"
],
"specialties": [
"oncology",
"cardiology",
"orthopedics",
"family medicine",
"internal medicine",
"gastroenterology",
"nephrology",
"specialty care",
"value-based care"
],
"regions_available": [
"United States"
],
"languages_supported": [],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing; demo and trial information available on request.",
"license": "commercial/proprietary",
"deployment_model": [
"SaaS"
],
"os_platforms": [
"Web",
"iOS",
"Android"
],
"features": [
"Ambient AI medical scribe (real-time capture of clinician–patient conversation)",
"Automatic speech recognition and clinical transcription",
"Structured, specialty‑specific clinical notes",
"EHR sync / direct write into EHR fields",
"Customization Studio (note templates & provider preferences)",
"AI coding (E/M, HCC, ICD-10 support)",
"DeepScribe Assist (real-time insights at point of care)",
"Context awareness (pulls relevant prior-visit data)",
"Telemedicine compatible",
"Multilingual support (25+ languages)",
"Review & sign workflow (clinician validation)",
"Pre-charting support",
"Audit‑ready documentation"
],
"optional_modules": [
"AI Coding (advanced coding module)",
"Customization Studio (advanced note customization)",
"DeepScribe Assist",
"AI Phone Agent",
"AI Revenue Cycle / pre-charting"
],
"integrations": [
"Epic",
"athenahealth",
"eClinicalWorks",
"Elation Health",
"drchrono",
"NextGen",
"AdvancedMD",
"Practice Fusion",
"Flatiron",
"Veradigm",
"Tebra",
"MDLand",
"Ontada",
"ClaimPower"
],
"data_standards": [
"FHIR"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"HIPAA",
"SOC 2 Type II"
],
"certifications": [
"SOC 2 Type II"
],
"security_features": [
"Encryption (in transit & at rest)",
"SSO/SAML",
"Role-based access control (RBAC)",
"Audit logs",
"Two‑factor authentication (2FA)"
],
"privacy_features": [
"BAA available"
],
"data_residency": "",
"customers": [
"Ochsner Health",
"Texas Oncology",
"Pearl Health",
"AVIA (marketplace listing)",
"Various multi‑specialty & enterprise health systems"
],
"user_reviews": [
"Deep Scribe sucks — AI component not developed well enough for the EMR",
"Not a great product and horribly overpriced",
"Slower processing during peak times; notes can take quite a while",
"Good entry-level product for scribing jobs but limited clinical experience",
"Expensive, inefficient — but some clinicians say it improved workflow",
"Love this product — integrates notes into my EHR and saves time",
"Customer‑support response times can exceed 48 hours, per multiple Reddit threads",
"Inserts vitals, labs, preventive gaps automatically — saves documentation time"
],
"ratings": [
"G2: ~4.7/5 (product listing & reviews aggregate)",
"Capterra: ~4.6/5 (user reviews aggregate)",
"KLAS Research: 98.8 / 100 (spotlight/performance score)",
"Software Advice: Ease of Use 4.5 / Value 4.4 / Customer Support 4.6 (summary metrics listed)"
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"customer success/enterprise support"
],
"training_options": [
"documentation",
"webinars",
"live_online/onboarding",
"onsite/enterprise implementation",
"customization workshops"
],
"release_year": "2017",
"integration_partners": [
"Epic Systems",
"Cerner (Oracle Health)",
"athenahealth",
"AdvancedMD",
"DrChrono",
"Kareo",
"Practice Fusion (via integrations ecosystem)",
"Pearl Health (partnership)",
"AWS Marketplace (listing)",
"HL7/Smart on FHIR integration options"
],
"id": "P0458",
"slug": "deepscribe",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/deepscribe.json"
}
}