Dragon Medical One
Cloud-based, AI-powered speech recognition solution for clinical documentation.

About Dragon Medical One
Dragon Medical One: AI-Powered Clinical Documentation
Dragon Medical One is a cloud-based, AI-powered speech recognition solution designed for clinicians to create comprehensive clinical documentation using their voice. It integrates directly into electronic health record (EHR) systems, allowing physicians and other healthcare professionals to capture the complete patient story accurately and efficiently, reducing administrative burden and physician burnout.
Key Features
Cloud-Based Flexibility: Provides a consistent and personalized experience across various devices and locations, including hospitals, clinics, and home offices.
High Accuracy: Leverages advanced AI and deep learning to achieve high recognition accuracy for medical terminologies and accents from the first use.
EHR Integration: Works seamlessly within existing EHR workflows, allowing clinicians to dictate directly into patient records without altering their process.
PowerMic Mobile App: Turns any smartphone into a secure, wireless microphone, offering greater mobility and convenience for clinicians.
Voice-Enabled Commands: Allows users to navigate EHRs, insert templates, and automate repetitive tasks using simple voice commands.
Centralized Management: Offers a single, web-based console for easy management of user accounts, settings, and custom vocabularies.
Actionable Insights: An analytics portal provides data on usage, adoption rates, and efficiency to help organizations maximize their investment.
Use Cases
Physicians, nurses, and other clinicians documenting patient encounters.
Healthcare organizations seeking to improve documentation quality and speed.
Reducing administrative tasks to combat physician burnout.
Enabling secure and flexible documentation from any location.
Getting Started
Dragon Medical One empowers clinicians to document care more naturally and efficiently, freeing up valuable time to focus on patients while improving the quality of clinical records.