DeepScribe and AWS to Scale Generative AI in Healthcare
DeepScribe announced today that it will be working with Amazon Web Services (AWS) to further accelerate and securely scale large language models (LLMs) in healthcare,
[SAN FRANCISCO, CA, Feb. 26, 2024] - DeepScribe, a leading enterprise-grade artificial intelligence (AI) medical scribe, announced today that it will be working with Amazon Web Services (AWS) to further accelerate and securely scale large language models (LLMs) in healthcare, including by incorporating AWS HealthScribe into its platform. DeepScribe’s purpose-built LLMs, trained on one of the largest labeled datasets in healthcare, will serve as a springboard for scaling ambient AI in clinical settings by enabling faster, more accurate, and more customizable generative AI documentation. In addition, DeepScribe will be available to AWS’ health system partners in AWS Marketplace.
DeepScribe, with AWS, has processed and labeled over 3 million de-identified clinical conversations captured on its platform. In aggregate, this data was crucial for training multiple proprietary LLMs, laying the groundwork for the development of DeepScribe’s most advanced model, HealAI. Leveraging distributed GPUs with Amazon SageMaker, HealAI recently underwent further healthcare-specific training and has since surpassed popular models like GPT-4 in clinical documentation accuracy. These advancements are already making a significant impact at healthcare systems partnered with DeepScribe.
“We're extremely excited about the transformative potential DeepScribe's AI technology brings to our health system," said Frank Fear, Vice President and CIO of Covenant HealthCare. "DeepScribe is empowering us to alleviate the documentation burden, deliver exceptional patient care, and make good on our commitment to prioritize clinician well-being.”
DeepScribe announced today that it will now also leverage AWS HealthScribe, a HIPAA-eligible service, powered by Amazon Bedrock, to further improve the accuracy of HealAI within key areas of the clinical note.
“We are excited to be working with AWS to eliminate the burden of documentation for exponentially more providers and unlock better, more accurate medical reasoning capabilities. AWS generative AI services, paired with our dataset, will allow us to push the boundaries of AI in care delivery,” says Akilesh Bapu, CEO of DeepScribe.
DeepScribe and AWS share a deep commitment to the fair, explainable, secure, and transparent deployment of AI in healthcare. AWS’s commitment to developing responsible AI and DeepScribe’s Trust & Safety initiatives are designed to ensure all technological advancements uphold ethical standards, protect patient data, and enhance trust in AI-powered healthcare solutions.
“Reducing documentation burden is a prime example of how generative AI can be applied to positively impact clinician and patient experiences,” said Jared Saul, Chief Medical Officer at AWS. “We’re excited to be supporting DeepScribe’s work in scaling adoption of clinical AI and purpose-built LLMs.”
DeepScribe and AWS will be showcasing their collaborative efforts and future plans at VIVE 2024 in Los Angeles, CA (booth #818) and HIMSS 2024 in Orlando, FL (booth #1561 and #4141). Attendees are invited to visit their booths for a firsthand experience of the cutting-edge technologies and solutions that are shaping the future of AI in healthcare.
About DeepScribe:
DeepScribe transforms patient conversations into fully customizable clinical documentation with ambient AI. Designed for clinician ease of use and stringent CMIO data requirements, DeepScribe is built on the largest database of natural patient conversations in the world. Leveraging composable AI to allow for customized patient notes, DeepScribe is the only solution flexible enough to meet the needs of every specialty and care setting while maximizing reimbursements. Save time on documentation, modernize enterprise patient data strategy, and unlock the future of digital health. Visit www.deepscribe.ai to learn more.
Media Contact:
Erin Farrell Talbot
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erin@farrelltalbot.com
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| AI Medical Scribe | KLAS score | Specialty support | Documentation intelligence (context, coding, automation) | EHR Support | Customization | Rollout model and enterprise readiness | Best for |
|---|---|---|---|---|---|---|---|
| DeepScribe | 98.8 / 100* | Deep specialty coverage: oncology, cardiology, urology, orthopedics, gastroenterology, + more | Contextual notes (pulls history, labs,, etc.) CPT, ICD-10, HCC coding | Epic, athenahealth, DrChrono, eClinicalWorks, iKnowMed, OncoEMR, UroChart, ModMed, Objective Medical Systems, + more | Deep, per-clinician customization; learns each clinician’s style and supports granular control over templates, structure, and phrasing. | Structured enterprise rollouts with governance, analytics, and at-the-elbow support | Health systems, private practices, and specialists that need customizable, specialty-aware AI for complex workflows |
| Abridge | 95.3 / 100 | Strong in primary care and templated, compliance-driven workflows | Contextual notes (pulls history, labs,, etc.) CPT, ICD-10, HCC coding | Epic (primarily), athenahealth, Cerner | Configurable templates and note sections; orgs define templates, clinicians adjust sections within structured, guideline-aligned notes | Enterprise deployments optimized for Epic workflows | Health systems on Epic, particularly within primary care |
| Commure | 93.3 / 100* | General coverage; specialty outcomes still emerging | CPT, ICD-10 coding | Broad EHR support | Custom templates | On-site enablement and configuration | Health systems that want hands-on rollout support and iterative specialty build-out |
| Suki | 93.2 / 100 | Fast time-to-value in primary care; specialty depth varies | Ambient notes, dictation ICD-10, HCC coding | Epic, athena, Oracle health, Meditech | Multi-mode control (ambient, dictation, commands) | Fast time-to-value; standard enterprise onboarding | Primary care and multi-specialty groups seeking fast time-to-value |
| Microsoft DAX | 92 / 100 | Multi-specialty support; strongest in Epic workflows | ICD-10 coding | Epic (primarily), Centricity | Custom templates | Structured enterprise rollouts; heavy IT involvement | Organizations on Epic |
| Nabla | 90.9 / 100 | Flexible; broad but maturing specialty depth | Ambient notes, agentic automation ICD-10, HCC coding | Epic, athenahealth, eClinicalWorks, NextGen | Custom templates | Lightweight, flexible deployment via web and mobile | Organizations that want flexible, lightweight solution |
| Epic | N/A | Built for Epic-native workflows; specialty depth unknown | Still emerging | Native to Epic | Still emerging | Still emerging | Organizations on Epic |
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