What is it
It is a hospital/patient management system that allows users to be logged in as doctors, nurses or patients. Doctors and nurses can view a dashboard where they can add patients and view a list of patients linked to them. Patients can view a dashboard with the information their doctors/nurses change, a profile page (including their medical history) and a symptom tracking page which includes an API which returns possible diagnoses based on the patient's symptoms.
One very unique aspect of our system is the manner in which doctors/nurses link to patients. A doctor must produce a token on their dashboard, which their patient must then enter on their dashboard. This links the two together. A doctor/nurse can also connect to patients who are already assigned to a token by entering the token on their dashboard.
Objectives/ Benefits
The main objective is to reduce medical errors. It does this in four ways: 1) It streamlines the processing of information because patients can also edit their information, reducing healthcare/admin workers' workload. 2) Medical records, symptoms, current diagnoses and treatments, appointments, etc. can be shared much easier by just entering the patient token. This is significant because a large portion of medical errors come from a lack of knowledge about the patient. 3) A patient (with just one account) can connect to multiple different doctors, which ensures the sharing of vital information as well as making sure such information stays the same across the board. 4) The patient has a symptom tracking page, which directly feeds to what the doctor sees, allowing for better tailored care.
How we built it
We used Flask for the the back-end and interacting with the databases and basic html and css for the front end, as well as an API for possible diagnoses
Challenges we ran into
The vast majority of small challenges were for the styling of our web app, from removing column lines, to wacky tables in the header, to popup forms that we could scroll through.
Accomplishments
This was not only our first hackathon, but the first time applying flask to a larger application.
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