Chad-CPT

Inspiration

The inspiration for Chad-CPT came from the need to streamline the process of finding CPT (Current Procedural Terminology) codes in surgery transcriptions. The manual process is time-consuming and prone to human error. We wanted to create a solution that would automate this process, increase efficiency, and reduce the margin of error.

What it does

Chad-CPT is an AI-powered project that automates the extraction of CPT codes from surgery transcriptions. It uses Natural Language Processing (NLP) and Machine Learning (ML) algorithms to identify, extract, and categorize CPT codes, thereby simplifying the process for medical coders and healthcare professionals.

How we built it

We built Chad-CPT using Python for the backend development, incorporating various NLP and ML libraries such as NLTK, SpaCy, and Scikit-learn. We trained our model on a large dataset of surgery transcriptions, enabling it to accurately identify and extract CPT codes. The frontend was developed using React.js, providing a user-friendly interface for users to upload transcriptions and receive the extracted CPT codes.

Challenges we ran into

One of the main challenges we faced was ensuring the accuracy of the CPT code extraction. Medical terminology is complex and often ambiguous, which made training the model a challenging task. Additionally, integrating the ML model with the frontend was a complex process that required careful coordination between the frontend and backend teams.

Accomplishments that we're proud of

We are proud of developing a functional AI model that can accurately identify and extract CPT codes from surgery transcriptions. We are also proud of the user-friendly interface we created, which makes the process easy and accessible for all users, regardless of their technical expertise.

What we learned

Throughout the development of Chad-CPT, we learned a great deal about NLP and ML, particularly in the context of medical terminology. We also gained valuable experience in integrating AI models with frontend applications, and in working as a team to overcome challenges and deliver a successful project.

What's next for Chad-CPT

Looking ahead, we plan to continue refining our model to improve its accuracy and efficiency. We also aim to expand the capabilities of Chad-CPT to include other types of medical transcriptions, and to make it a comprehensive tool for automated medical coding.

Built With

• typescript