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Welcome to the Cigna Telehealth Sentiment Analysis Project Wiki

Overview

Welcome to the home page of our senior design project, the Cigna Telehealth Sentiment Analysis Webapp. This project is an innovative venture into the realm of telehealth, combining advanced sentiment analysis with user-friendly telemedicine solutions. Our aim is to develop a tool that not only serves our academic goals but also has the potential to be adopted by Cigna, enhancing their telehealth services.

Project Description

Cigna Telehealth Sentiment Analysis Webapp is a cutting-edge telehealth solution designed to bring a new dimension of care to virtual healthcare services. As a team of dedicated students, we are creating a web-based application that integrates real-time sentiment analysis into telehealth consultations.

Purpose and Functionality

The core functionality of our webapp lies in its ability to analyze and interpret the emotional tone from patient-provider interactions during a telehealth session. This analysis provides valuable insights to healthcare providers, enabling them to respond more effectively to the patient's emotional and psychological needs.

Key Features:

Real-Time Sentiment Analysis: Utilizes advanced algorithms to assess the sentiment of the patient during a consultation.
User-Friendly Interface: Designed for ease of use by both patients and healthcare providers.
Data Privacy and Security: Ensuring all interactions are handled with the utmost confidentiality.

What Problem Are We Solving?

In the realm of telehealth, understanding patient sentiment can be challenging due to the lack of physical presence. Our webapp addresses this gap by:

Enhancing Patient-Provider Communication: By providing real-time emotional insights to providers, facilitating a more empathetic and effective communication.
Improving Diagnostic Accuracy: Emotional cues can be crucial in understanding patient's conditions, leading to better diagnosis and care plans.
Bridging the Digital Gap: Making virtual consultations more personal and emotionally attuned.

As a future goal, we also aim to integrate Large Language Model (LLM) technology, such as the ChatGPT API. This integration will provide suggestions and assistance to doctors, offering them additional insights to consider during patient interactions, thereby enriching the decision-making process.

Design Principles

Our design approach is grounded in the following principles:

User-Centric Design: Focusing on creating an intuitive and accessible interface for all users.
Data-Driven Functionality: Ensuring that sentiment analysis is accurate, fast, and reliable.
Scalability and Flexibility: Building an application that can evolve and adapt to different telehealth scenarios.
Collaboration and Openness: Encouraging feedback and contributions from various stakeholders, including potential future users from Cigna.

Thank you for visiting our project wiki. We are excited about the potential of our webapp in transforming telehealth services and appreciate your interest and support.