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Using AI to Transform Medical Documentation, DeepScribe's Akilesh Bapu

DeepScribe CEO Akilesh Bapu sits down with Alex Merwin of the AWS Startups Health Innovation Podcast to discuss the DeepScribe vision, including the importance of clean data and the critical role humans must play in the safe deployment of AI in healthcare.

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In this episode, host Alex Merwin, Head of Growth for Healthcare & Life Science Startups, welcomes Akilesh Bapu, the Co-Founder & CEO of DeepScribe, an AI medical scribe company revolutionizing medical documentation. DeepScribe, trusted by both large and small healthcare systems across America, brings passion and determination to provide the most trustworthy AI medical scribe available, aiming to bring the joy of care back to medicine.

We discuss the details of DeepScribe’s AI-based approach to transform medical documentation. From using both supervised and unsupervised machine learning techniques and large language models, DeepScribe is focused on enabling physicians to spend more time with their patients rather than on manual note-taking.

Further, we explore DeepScribe’s go-to-market strategy. Starting with an inbound heavy approach targeting private practices, DeepScribe then expanded to sell into large health systems. This approach has helped the company position itself as a leading AI medical scribe.

Finally, we discuss one of the most critical aspects of AI application in healthcare settings: maintaining a ‘human in the loop’. Ensuring the accuracy of AI systems and managing algorithmic bias is critical, and DeepScribe has managed to integrate this principle into their business and product.

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  • [01:44] Akileh’s background as an AI researcher and what brought him to founding DeepScribe.
  • [04:46] How DeepScribe thinks about AI and how it’s solutions works.
  • [08:40] Physician burnout and why we need more efficient tooling, and the importance of having humans in the loop to accurately ground truth data.
  • [14:41] How DeepScribe used an SEM/SEO driven inbound GTM strategy to grow market segment share with private practice, later expanding into health systems.
  • [17:22] How giving time back to physicians improves their work life harmony, benefitting them, their patients and the health system more broadly.
  • [19:41] DeepScribe’s approach to managing the tradeoffs between individualizing care and perpetuating systemic bias which can be a challenge for AI systems.
  • [22:47] How DeepScribe leverages both supervised & unsupervised learning, and how “scribes” help them ground truth data at scale.
  • [28:27] How DeepScribe approached its different rounds of financing, from pre-seed to Series B.
  • [32:28] What keeps Akilesh up at night.

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AI Medical ScribeKLAS scoreSpecialty supportDocumentation intelligence (context, coding, automation)EHR SupportCustomizationRollout model and enterprise readinessBest for
DeepScribe98.8 / 100*Deep specialty coverage: oncology, cardiology, urology, orthopedics, gastroenterology, + moreContextual notes (pulls history, labs,, etc.)  CPT, ICD-10, HCC codingEpic, athenahealth, DrChrono, eClinicalWorks, iKnowMed, OncoEMR, UroChart, ModMed, Objective Medical Systems, + moreDeep, 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 supportHealth systems, private practices, and specialists that need customizable, specialty-aware AI for complex workflows
Abridge95.3 / 100Strong in primary care and templated, compliance-driven workflowsContextual notes (pulls history, labs,, etc.)  CPT, ICD-10, HCC codingEpic (primarily), athenahealth, CernerConfigurable templates and note sections; orgs define templates, clinicians adjust sections within structured, guideline-aligned notesEnterprise deployments optimized for Epic workflowsHealth systems on Epic, particularly within primary care
Commure93.3 / 100*General coverage; specialty outcomes still emergingCPT, ICD-10 codingBroad EHR supportCustom templatesOn-site enablement and configurationHealth systems that want hands-on rollout support and iterative specialty build-out
Suki93.2 / 100Fast time-to-value in primary care; specialty depth variesAmbient notes, dictation  ICD-10, HCC codingEpic, athena, Oracle health, MeditechMulti-mode control (ambient, dictation, commands)Fast time-to-value; standard enterprise onboardingPrimary care and multi-specialty groups seeking fast time-to-value
Microsoft DAX92 / 100Multi-specialty support; strongest in Epic workflowsICD-10 codingEpic (primarily), CentricityCustom templatesStructured enterprise rollouts; heavy IT involvementOrganizations on Epic
Nabla90.9 / 100Flexible; broad but maturing specialty depthAmbient notes, agentic automation  ICD-10, HCC codingEpic, athenahealth, eClinicalWorks, NextGen Custom templatesLightweight, flexible deployment via web and mobileOrganizations that want flexible, lightweight solution
EpicN/ABuilt for Epic-native workflows; specialty depth unknownStill emergingNative to EpicStill emergingStill emergingOrganizations on Epic