We were inspired to provide help in some way for the people who need to use health facilities. And especially when we take into account the Serbian Health care system, speeding up triage is great way to do so.

What it does

It helps patients and doctors to go through triage as fast as possible. Patients are able to do a survey of their symptoms, review medical history and see status of pending survey.

Doctors are able to view unread and unreviewed patients surveys, do initial review and dictate possible diagnosis using Speach to Text software so they can save time.

How we built it

Swiftly and with style.

Challenges we ran into

We had a problem finding and preparing data for use with Machine Learning.

Accomplishments that we're proud of

We had an amazing time and no team member slept during the last 24+ hours. .

What we learned

How to work under pressure but still have great fun.

What's next for Health Assistant - Team SIRTI

Definitely implementing machine learning for question prediction and disease recognition.

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