MedPak Analytics

Inspiration

While doing a Stats class, I realized that there are a lot of statistical analysis tools available, SPSS, Python, R etc but what if there was a tool that prepackaged common workflows for Healthcare workers? What if there was a tool that allows for one click analytics?

What it does

MedPak prepackages common analytics workflows used in the management of various health conditions. It allows a user to register, start an analytics session, upload a file with the relevant data and execute one click predictive analytics.

How we built it

I used Next. js for the front end then Streamlit for the analytics interface. Pangea was used to add Auth to the web app and to scan any files being uploaded to ensure they are benign.

Challenges we ran into

Getting the streamlit app to work in Next.js took some effort but I was able to pull it off. Setting up auth and including a file scanner was a breeze due to Pangea's easy to use SDK for both JS and Python.

Accomplishments that we're proud of

I'm really proud of executing this and creating a finished product. I started the hackathon quite late so it was awesome that I got to pull it off.

What we learned

I learned how pain free Auth cam be and how straightforward setting up a File Scanner can be as well. I also learned a lot about the analytics side of healthcare.

What's next for MedPak Analytics

Next I want to expand the range of roles that are covered then implement collaborative features and a notificatio nsystem.

Built With

• nextjs
• pangea
• python