Inspiration
We understand how much time and effort it take for people to figure out and understand their asthma treatment plan even after their visit to the doctor. The sheer amount of information and how complicated the whole process this makes asthma treatment tedious for healthcare workers and nigh inaccessible for patients simply trying to get some information.
Currently, the process of asthma treatment relies on healthcare workers having to read through a complex series of charts of a patient's symptom frequencies and statistics to determine the severity of a patient's asthma and the correct treatment plan. Given that healthcare workers are often overworked and how hectic the work environment can get, the redundant task of reading through these charts is an inefficient use of healthcare workers' time and could be streamlined.
For example, here is a snippet of the Asthma Care Quick Reference: link
What it does
BreatheEasy is a Chrome extension that simplifies the process of reading through the Asthma Care Charts for healthcare workers and patients alike. By simply entering information about patients and their symptoms, BreatheEasy can determine things like the severity of a patient's asthma, recommend whether to move up or down in treatment levels, and provide recommended dosages on treatments. The extension also employs ChatGPT as an asthma care assistant that can answer users' asthma-related questions.
How we built it
We worked as a team to create our project. We used Javascript, HTML, and CSS to create the extension. We gathered our information about asthma care from the standard Asthma Care Quick Reference.
Challenges we ran into
We ran into some issues with the original fullstack idea but were able to pivot well to a front-end based extension.
Accomplishments that we're proud of
We are proud that we were able to build a helpful tool that can improve the efficiency of healthcare workers and make their jobs a bit easier. Also, we are proud of the fact that we could incorporate an AI model in our tool to further assist users.
What we learned
Through developing our project, we learned a lot about the process of creating a Chrome Extension and making queries to an AI chatbot through APIs. Additionally, we learned how important communication and collaboration are when working with a team to create a project.
What's next for BreatheEasy
We would love to apply this to other sectors of healthcare as well as automate more aspects of the process such as retrieving patient data. This asthma care extension is merely a small step in the direction of helping to get rid of tedious work for healthcare workers and allowing them to focus on more important tasks.
Built With
- chatgpt
- html
- javascript
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