AI Powered Medical Notes

Our Vision

Imagine a world where you visit your patients and come back to your desk to see the entire appointment accurately documented for you in your Electronic Health Record (EHR) System.

No frustrating voice dictation services. No expensive human/virtual scribes. No having to remember what you prescribed. That is what we’re trying to accomplish at DeepScribe.

How it works

By listening in on the doctor-patient conversation, DeepScribe uses advanced deep learning to generate accurate, compliant, and secure SOAP notes right within your EHR.

  1. 1


    Begin your patient exam and start recording either through our DeepScribe iPhone/iPad application or your EHR.

  1. 2


    Deliver your exam as you normally would with the patient, while DeepScribe intelligently listens into the conversation and prepares your notes.

  1. 3

    Sign off.

    Review and sign your fully prepared notes that show up in your EHR within an hour.

The best way to record your patient note

  • HIPAA Compliant

    State of the art security system is HIPAA compliant with 100% patient confidentiality.

    Learn More
  • Eye to Eye

    Put aside the clipboard, and put the focus on the patient. No need to worry about documenting patient interactions.

    Learn More
  • Freed Up

    Free up more time for your patient and allow yourself to provide a better quality of care.

    Learn More


DeepScribe can produce comprehensive EHR notes to medical documentation standards, insurance coding standards, and of course your standards.


All data is presented in a summary for you to view after the appointment, allowing you to add notes or make adjustments before sending it off.

Learns With You

Our machine learning algorithms learn with you, constantly adding to our vocabulary.

Enterprise Grade Security

HIPAA Compliant

To make sure your data is as secure as possible, we have implemented multi-factor authentication, data encryption on store and transfers, de-identifying all patient data, and extensively limited access.

We use end-to-end AES-256 encryption on all patient data. Contact us to view our in-depth security whitepaper.

In the News:


From your mouth to your screen, transcribing takes the next step

"In the medical field, automated transcription is being used to change the way doctors take notes. DeepScribe uses several speech engines ... to record the conversation and creates a summary of the examination."

Read the Article

DrChrono Teams with DeepScribe to Automate Medical Note Taking in EHR Through Artificial Intelligence Technology

"Practices using DeepScribe have reported saving an average of 2 hours and 45 minutes per day on documentation, with providers seeing an average of 4-5 additional patients, and in some cases, up to 10 additional patients, per week"

Read the Article

Six Trends Shaping the Future of Health Care

"By listening in on the natural doctor-patient conversation, DeepScribe uses advanced deep learning to generate accurate, compliant, and secure SOAP (medical record) notes"

Read the Article

Hartford HealthCare accelerator names 10 startups to 1st cohort

"DeepScribe uses AI and natural language processing to listen to physicians' conversations with patients and complete documentation"

Read the Article

EHR and EMR Market Size, 2019-2027 Comprehensive Analysis

"DrChrono Inc. partners with DeepScribe to integrate artificial intelligence with the medical practices that use DrChrono EHR. AI helps to automate medical note that comes from physician appointment, making it a part of their Electronic Health Record (EHR)."

Read the Article

Startup offers to enhance doctor care with its AI notetaker

"DeepScribe ... uses proprietary artificial intelligence and natural language processing techniques to produce comprehensive clinical documentation by listening to patient-physician encounters"

Read the Article

Our Partners

Meet the Team

Akilesh Bapu
NLP Researcher @ Berkeley Artificial Intelligence Research (BAIR), Former SWE @ Apple
Kairui Zeng
Former SWE @ Workday, Design @ Propelland, CTO @ ASUC
Matthew Ko
Former Data Analytics @ Ernst & Young
Alberto Todeschini, PhD
AI Advisor
AI Lecturer @ UC Berkeley, Cambridge, and LSE
Julie Lawrence
Director & Design Fellow @ Stanford School of Medicine, Director of Strategic Planning @ UCSF, Program Officer @ Gordon & Betty Moore
Anand Shroff
Founder & CDO @ Health Fidelity, VP, HIE & EHR Products @ Optum, Senior Director Healthcare @ Oracle

Get In Touch