Inspiration

We were inspired by personal experiences of family members being overloaded with medications from different doctors who didn't communicate, resulting in severe unintended side effects that should be completely preventable.

What it does

You can create a profile for each of your patients containing basic biometric data. Then, add a list of their medications to view their conflicting efforts in the human body, and the hidden downsides to taking certain combinations of them. Once the data has been processed, you can use an AI chat to understand the data better and learn how to fix the situation.

You can also create a simulation for the next 24 hours to see how the medications will interact with the patient's system.

How we built it

We used Cloudflare Workers to host the frontend dashboard (built with Vite + React + shadcn/ui), with a D1 database to store user data being queried by a custom API endpoint. Medication data is fetched from the OpenFDA API. AI analysis of results is provided with the Google AI Studio API.

Challenges we ran into

We ran into challenges with our database binding to our server, and reducing the excessive amount of read/write operations our initial codebase was creating.

Accomplishments that we're proud of

We are proud that we created a product that solves an issue that hits close to home for us. We think it is an effective tool and could be useful for many people.

What we learned

We learned to avoid unnecessary complexity when implementing things. We had to stop and pivot multiple times during the development process because our current approaches weren't working out.

What's next for MEDash

We want to expand the analysis capabilities and add more insights to help the patients improve their medication routines so they can be treated safely.

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