M-STAT

Patient Status Tracker and Streamlined Communication for Medical Personnel

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Inspiration

Having seen the long wait times at the local hospital and from hearing stories from people in the medical field, there seemed to be a need for some way to speed up check in and discharge process.

What it does

The end goal of a program is a create a hub for medical personnel to quickly check the status of incoming patients with the ability to create tasks and leave messages to other personnel in a single place.

How we built it

For this program, we used the Gradio framework in Python. This allowed us to easily connect front and back ends in via a single language instead of two. For the actual coding, Chat GPT and Gemini helped us cross the learning curve while the documentation helped give us the general run down. Dividing up the work, we had one person work on the AI pdf to csv feature, another working on using said csv data to create a new patient, and another person floating around to support.

Challenges we ran into

  • API Connection
  • Learning Curve for Gradio Framework

Accomplishments that we're proud of

  1. Learning new technologies such as Gradio and Gemini AI API
  2. Expanding coding experience with PYTHON

What we learned

We gained hands-on experience with Gradio and Gemini AI API to create a web based communication platform.

What's next for M-STAT

M-STAT isn't just a medical based program built for a 36 hour Hackathon, it is a project built to help streamline communication between medical personnel and make the patients know that they in good hands.

We hope to actually test this in the medical field where hospitals can provide us critical feedback (once we get all the functions working) and also have a private LLM Model to keep patients private information more secure.

With more field testing and more time. M-STAT can revolutionize the way hospitals operate to treat patients.

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