I CARE 4 DOCTORS

• 

  Eye tracking software

• 

  Dashboard

Inspiration

We 3 are doing an Internship at Boston Children's Hospital, and we want to improve medical care.

What it does

It is a numerically-driven fatigue detection system that leverages biometric data to assess and monitor healthcare workers’ fatigue levels in real-time, aiming to reduce medical errors, improve decision-making, and enhance both worker well-being and patient safety by enabling timely interventions and promoting optimal performance during critical tasks.

How we built it

We used pre built machine learning eye recognition algorithms, Matlab, Python libraries and the dashboard for data visualization was made with Sveltekit and the MongoDB Atlas cloud database

Challenges we ran into

Time, Integration of components, new technology exposure.

Accomplishments that we're proud of

Explore a new field we have not worked on in our hospital, we made a functioning machine learning image recognition program. We made a full stack application with a framework we never used before (SvelteKit)

What we learned

Implementation of machine learning data and AI for data extraction, Server side rendering.

What's next for I CARE 4 DOCTORS:

Collect Training Data & Calibrate the Model Determine how many of the variables measured would be enough to categorize the doctor with fatigue. Adapted learning for each individual. Conduct clinical validation studies.

Built With

• javascript
• matlab
• python
• sveltekit