Project Journey: Decoding Devices: Improving Patient Safety with MAUDE

Inspiration

Our project began with a simple idea: enhance patient safety by extracting key insights from MAUDE's event descriptions. We aimed to provide valuable information to patients, manufacturers, and hospitals, helping them analyze and address critical issues before they become problems.

Learning Curve

Our journey started with a deep dive into MAUDE's data. We learned how to extract summaries and identify problem areas from event descriptions. This foundational knowledge laid the groundwork for our project's success.

Building the Project

In building our solution, we focused on analyzing data using large language models. We utilized these models to generate comprehensive comparisons between different approaches. This simplified the technical aspects, making our project more accessible.

Challenges

We faced two major challenges during our project. Firstly, dealing with the sheer volume of data proved daunting. Secondly, the text data was noisy, making it difficult to extract meaningful insights. Additionally, gaining access to GPT posed some initial hurdles.

In conclusion, our journey aimed to make patient safety more accessible through straightforward data analysis. We tackled challenges head-on, simplified our approach, and remained dedicated to improving healthcare by addressing issues proactively.