The current healthcare system is corrupt and heavily weighed in treatment instead of prevention. Since treatment tends to bring in higher profits, there are more investments new drugs rather, whereas the focus on prevention can help avoid expensive hospital bills.

The goal of our design is to bring awareness to high-risk populations through educational programs targeting/profiling specifically to individuals who are most likely at risk. We aim to look at things like an individual's family health history, living standards, work environment, and daily behavior to provide them with customized plans on how they can better their health. This tool will be helpful for healthcare providers looking to help their patients to start living a healthier life or making adjustments in case of medical concerns. By making it easier for patients to take matters into their own hands by enriching them with knowledge on their personal wellbeing. We believe that it is difficult to make a great impact on population health if the population is not informed about the importance of personal health. We also think many people tend to avoid addressing their health concerns until they come face to face with treatments. We want our population to be proactive rather than reactive.

What it does

Our design takes in patient's information and based on the severity of the information, we will assign a score to the patients. From there, health-centered educational contents such as diets change, resources like special clinics or treatments can be recommended, and this process can be automated and customized to individual households or patients. It can also take into different zip codes and provide people in that community with tips on how to stay healthy during outbreaks.

How I built it

We built our form using HTML5 and CSS to take in the information. We then used node.js to process the patient's information and provide feedback based on their input.

Challenges I ran into

We were having a difficult time clarifying our idea and goals at the beginning of the project. We were focused on increasing access to healthcare within the lower income community, but we realized that the problem of being reactive when it comes to health targets a large number of individuals not just lower income community.

Accomplishments that I'm proud of

We are proud to be able to provide something that is tangible and can be implemented. We are happy that our model truly supports the need for prevention over treatment. In the long run, it is more beneficial and will cost less for preventive health care rather than paying for expensive hospital bills.

What I learned

For the tools, we learned to work with node.js and we learned to analyze data better. Most of our background is in Java, yet we decided to make the best of opportunity and learn a new programming language. We also learned that there are many flaws within the health system, and that made us more mindful in taking care of our own health and the health of the people around us.

What's next for Fast and Curious

We want to be able to automate the resources distribution process to our clients through the use of machine learning and cloud computing, as well as providing up to date information every year based on new research and health trends.

Share this project: