Welcome to Slalom St. Louis's first Hackathon, where we're exploring how natural language processing and machine learning can be applied within the healthcare landscape to address social determinants of health.
Medical care is estimated to account for only 10-20% of the modifiable contributors to healthy outcomes for a population. The other 80-90% are broadly referred to as the social determinants of health, which include health-related behaviors (e.g. diet, exercise), socioeconomic factors (e.g. education, employment), and environmental factors (e.g. air quality, transportation). Accordingly, connecting patients with community resources that can positively affect such social determinants of health is a critical, but often challenging, aspect of providing effective, efficient, and equitable healthcare.
For this hackathon, competing teams of up to five people will utilize Amazon Comprehend to collect, analyze, and enrich IRS data about social and medical service providers throughout Missouri. Teams will be given access to the IRS data, supporting information about how to use the IRS data, pre-configured AWS resources for analyzing the IRS data, detailed requirements for submitting the enriched dataset, and criteria for how submissions will be evaluated. The resultant data will be used by Johego, a St. Louis-based 501(c)(3) nonprofit charity, to help connect people in need with the social and medical services they need.
On this page, you'll find the hackathon's timeline, helpful resources, and guidelines.
Location: Covo St. Louis
Date: September 6th, 2019 at 6:00 pm until September 8th, 2019 at 6:00 pm
Johego is a St. Louis-based 501(c)(3) nonprofit charity that develops software (on iOS, Android, and the web) to help social workers, nurses, and other public servants more efficiently connect their patients with the community resources they need, from overnight shelter to mental health treatment and more.