A telemedicine transcription and analysis tool
Project description
OpenScriber
A telemedicine transcription and analysis tool that helps healthcare providers efficiently process and analyze patient conversations.
Features
- Real-time audio recording and transcription
- Automated analysis of medical conversations
- Customizable analysis prompts
- Secure storage of transcripts and audio
- Multi-user support with individual encryption
Installation
pip install openscriber
Requirements
- Python 3.8 or higher
- PyQt5 for the GUI
- PyAudio for audio recording
- Whisper for transcription
- Other dependencies are automatically installed
Usage
- Run the application:
openscriber
- Create an account or log in
- Start recording your medical conversation
- The application will automatically transcribe and analyze the conversation
- View and copy the results as needed
Development Setup
- Clone the repository:
git clone https://github.com/yourusername/openscriber.git
cd openscriber
- Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -e .
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
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