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What is DeepScribe?

DeepScribe utilizes cutting-edge AI technology to effortlessly document conversations between healthcare providers and patients, ensuring that medical notes are generated automatically, which allows clinicians to dedicate more time to patient interaction rather than paperwork. The user-friendly mobile application captures these clinical discussions and transcribes them in real time, while the proprietary AI processes the transcript to sort the medical details into a standardized note, seamlessly integrating it into the clinician's electronic health record system. In contrast to conventional scribes, dictation systems, or other methodologies, DeepScribe's ambient functionality ensures that the documentation process does not interfere with the patient experience or disrupt the overall clinical workflow. Healthcare professionals can engage with their patients as they normally would, later reviewing and approving the notes within their EHR after the consultation. Furthermore, DeepScribe not only takes care of documentation and charting but also suggests appropriate diagnostic codes based on the extracted information from the visit. By leveraging DeepScribe’s intuitive, effective, and advanced AI scribe, clinicians are empowered to rediscover the fulfillment of providing care in medicine, ultimately enhancing the patient experience. This innovative approach transforms the way healthcare professionals manage their documentation responsibilities.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

DrChrono
Elation Health
Practice Fusion
athenaOne

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

API Availability

API Availability

Has API

Pricing Information

DeepScribe operates at a fraction of the cost of an in-person or virtual scribe. Specific pricing varies based on size of practice. Contact us for pricing details, or schedule a demo

Pricing Information

Pricing not provided

Supported Platforms

SaaS
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

DeepScribe

Date Founded

2017

Company Location

United States

Company Website

www.deepscribe.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

Clinic Management

Not specified

Dictation

Not specified

Healthcare AI

Not specified

Medical Transcription

Not specified

Speech Recognition

Not specified

Speech to Text

Not specified

Categories and Features

Data Extraction

Not specified

Healthcare AI

Not specified

Healthcare APIs

Not specified

Life Sciences

Not specified

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