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What is Droxi?

Droxi is a groundbreaking clinical workflow platform that leverages artificial intelligence to tackle the administrative burdens healthcare providers encounter, primarily by streamlining tasks within electronic health record systems. Functioning as a smart inbox assistant, it gathers patient information and presents all relevant clinical data, such as medication history, lab results, and past interactions, in a cohesive and user-friendly interface, thus eliminating the need to toggle between various screens or perform manual searches. By harnessing machine learning, the platform evolves alongside provider habits, automating standard tasks like prescription renewals, inbox message management, and lab result analysis, while always keeping medical decisions under the control of healthcare professionals. With its one-click features, providers can easily approve or deny requests, craft automatic patient responses, and initiate follow-up actions like scheduling appointments via SMS notifications. This heightened efficiency not only conserves time for clinicians but also significantly improves the patient care experience, allowing healthcare providers to devote more attention to their patients instead of getting bogged down by administrative duties. Furthermore, the platform’s design promotes a smoother workflow, ultimately contributing to better health outcomes and more satisfied patients.

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.

Media

Media

Integrations Supported

Integrations Supported

DrChrono
Elation Health
Practice Fusion
athenaOne

API Availability

API Availability

Pricing Information

Pricing not provided

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

Supported Platforms

SaaS

Supported Platforms

SaaS
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Droxi

Company Location

United States

Company Website

droxi.com

Company Facts

Organization Name

DeepScribe

Date Founded

2017

Company Location

United States

Company Website

www.deepscribe.ai/

Categories and Features

Healthcare

Not specified

Healthcare AI

Not specified

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

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