Matthew Meyer and Luke Reichold.
Saint Louis University.
Department of Mathematics and Computer Science.

While consumer-based health and fitness trackers are becoming increasingly popular, they are not yet incorporated into post-operative health care in any standardized way. This research project aims to bridge this gap, using commercially available fitness devices to tighten the feedback loop between physicians and patients.

The goal of this project is to develop a web application that allows one or more physicians to follow the progress of a recovering patient after they have been discharged from a clinic or hospital after a cardiovascular operation. Through the application, a physician will be able to view a patient’s biometric data over time (i.e. heart rate, activity, and sleep) collected by the patient’s Fitbit wearable device with heart-rate monitoring capabilities. Using such a system gives the physician the ability to gain insight into the patient’s heart rate and cardiovascular activity -- down to minute-level resolution -- over a span of weeks following an operation. This will ensure that the physician can make necessary changes to the patient’s recovery plan if certain variations occur. The physician then can gain a more complete picture of the patient’s activity variability over a span of weeks. This information supplements the health assessment of the patient rather than only having a single point of care interaction with which to base all data from.

This project primarily uses Flask and extensions of Flask for the web application and MongoDB as the database for our storage.

To use, clone our repository and cd into it and download dependencies

git clone https://github.com/SLU-Capstone/Recover.git
cd Recover/
pip install -r requirements.txt

Now, to selfhost the application

python manage.py run

You should now have a copy of the web application at 127.0.0.1:5000