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MediPlanFlow

Overview

Welcome to MediPlanFlow, an innovative application powered by OpenAI's cutting-edge Language Learning Model (LLM). This application is designed to revolutionize the way medical professionals create treatment plans and follow-up schedules. By harnessing the power of advanced natural language processing, MediPlanFlow offers a seamless, efficient, and intuitive solution for managing patient care.

Features

  • Automated Treatment Planning: Generate comprehensive treatment plans based on patient diagnoses, utilizing the vast knowledge base of OpenAI's LLM.
  • Dynamic Follow-Up Scheduling: Create tailored follow-up schedules to ensure effective patient monitoring and care continuity.
  • User-Friendly Interface: Easy-to-use input fields and clear, concise output, all integrated within a streamlined UI.
  • Document Generation: Instantly convert treatment plans and schedules into downloadable Word documents for easy sharing and printing.

How It Works

  1. Input Diagnosis: Medical professionals input a patient's diagnosis into the system.
  2. Generate Treatment Plan: Based on the diagnosis, MediPlanFlow generates a detailed treatment plan, leveraging OpenAI's LLM for accuracy and depth.
  3. Create Follow-Up Schedule: The application then proposes a follow-up schedule, ensuring the treatment plan is effectively monitored and adjusted as needed.
  4. Download Documents: Both the treatment plan and follow-up schedule are compiled into a Word document, ready for download and use in medical settings.

Getting Started

To start using MediPlanFlow, follow these simple steps:

  1. Clone the repository.
  2. Install required dependencies.
  3. Run the application.
  4. Input a diagnosis and let MediPlanFlow take care of the rest!

Requirements

  • Python
  • Streamlit
  • OpenAI API Key
  • Internet Connection

Contributions

Contributions, ideas, feedback, and issue reporting are welcome. Please feel free to open an issue or submit a pull request.

License

MIT License

Contact

For support or queries, please contact me at [email protected]. Linkedin Profile: @jamallwinn.

MediPlanFlow

mediplanflow's People

Watchers

Jamall Winn avatar Kostas Georgiou avatar

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