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What is Oracle Health Clinical Digital Assistant?

Healthcare professionals are encouraged to prioritize direct patient care rather than administrative paperwork, fostering a sense of fulfillment in their medical practice, regaining personal time, and enhancing the quality of care through a stronger emphasis on physician-patient interactions. The Oracle Health Clinical Digital Assistant functions as an AI-powered voice assistant that effectively captures key elements of conversations between physicians and patients, processes the gathered information, and generates notes within the Oracle Health electronic health record system for prompt physician review. Users can communicate in natural language to access patient data and execute regular clinical tasks with ease. Additionally, it formulates initial clinical notes based on the interactions and information provided, ready for the physician’s assessment and approval. By leveraging voice commands, healthcare providers can seamlessly update and amend patient records, ensuring that clinical documentation is both precise and current. This cutting-edge tool is designed to simplify the documentation workflow, enabling physicians to dedicate more time to patient interactions and less to bureaucratic duties, ultimately enhancing the overall healthcare experience. The introduction of such technology not only improves efficiency but also strengthens the patient-care relationship, highlighting the essential role of communication in effective medical practice.

What is Microsoft Dragon Copilot?

Microsoft's Dragon Copilot is an advanced AI-driven tool designed to improve clinical workflows by automating documentation, thereby reducing the burden of administrative tasks. By integrating smoothly with the Microsoft Cloud for Healthcare, it empowers healthcare practitioners to create accurate documentation based on their interactions with patients. This cutting-edge solution supports multiple languages and remains effective even without internet connectivity, allowing for the collection of patient data and its conversion into specialty-specific notes. Furthermore, Dragon Copilot leverages AI technology to suggest improvements for clinical interactions, automatically completes orders, and enables clinicians to search through notes to access medical information, ultimately boosting both the efficiency of operations and the standard of patient care. Its adaptability to the unique requirements of healthcare professionals positions Dragon Copilot to transform the management of clinical documentation significantly. As a result, healthcare providers can focus more on patient care rather than administrative duties, leading to better outcomes for both clinicians and patients alike.

Media

Media

Integrations Supported

Microsoft Cloud for Healthcare
PayZen

Integrations Supported

Microsoft Cloud for Healthcare
PayZen

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/health/clinical-suite/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-copilot

Categories and Features

Medical Transcription

Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition

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