Educating the population about medical insurance and the complex processes surrounding its usage is especially critical during times of disaster and crisis, such as the Covid-19 pandemic.
Understanding medical insurance specific terminologies involved and choosing the right medical insurance plan (there are thousands of plans by different providers in the US) can be quite difficult, especially for those with limited previous exposure to insurance and those from under resourced communities.
During such times of financial pressure, it is in the interest of medical Insurance companies to harshly enforce certain fineline clauses and deny insurance claims. The enforceable legal clauses and promises are found in the long, legal-speak worded policy documents. We wanted to leverage the power of GPT-3 to convert these contract clauses to human-like simpler versions.
What it does
Automated field extraction and argument mining from Claim Denial Letter + Appeal Letter Generation
GPT-3 API provided by OpenAI TF-IDF Text Summarization (also BERT) OCR through GCP Document AI
Challenges I ran into
GPT-3 Token Limit PDF Table Parsing Chrome Extension App Deployment on Google Cloud Platform
Accomplishments that I'm proud of
Making it completely
What I learned
OCR and NLP Techniques
What's next for Medinsure.ai
Making it scalable
Detailed Demo Video of all 3 tools part of the Medisure.ai dashboard: https://www.youtube.com/watch?v=rMJ7YXjmOxI&feature=youtu.be
Medisure Contract Simplify Chrome Extension (powered by GPT-3) Demo Video: https://www.youtube.com/watch?v=rMJ7YXjmOxI