Help improve the human condition in a competitive environment.
Calling all data scientists, engineers, designers, product gurus, and health professionals!
AI LA is excited to announce our health care focused Fall Open Innovation Challenges with two prominent organizations: RTI International and the All of Us Research Program.
WHAT’S AN OPEN INNOVATION CHALLENGE (OIC)?
Similar to a hackathon, an OIC allows participants to work on a real-world problem with local stakeholders using a multidisciplinary approach. This isn’t a Kaggle!
The highest performing teams will have to use a design-thinking approach to produce a working prototype WITHIN 5-WEEKS that each stakeholder will judge during our Life Summit on October 20th.
* Virtual Info Session: September 8th 5 pm PT :
* Register by September 14th 11:59:59 PT
* Kick-Off: September 16-18th in Los Angeles
* Demo Day: October 20th in Los Angeles
VIRTUAL INFO SESSION RECAP: https://www.joinai.la/blog/oic-fall-2022-info-session-recap
PREDICTING UNDERDIAGNOSIS AND UNDERUTILIZATION FOR CHRONIC DISEASES
BACKGROUND: RTI Rarity is an AI solution developed by RTI International, an independent, nonprofit research institute dedicated to improving the human condition. One of RTI’s areas of focus is helping government and private-sector clients understand social risks in their populations by leveraging data, analytics and advanced scientific knowledge. The RTI Rarity approach to social risk adjustment has, to date, focused on predicting long-term outcomes like life expectancy and drug overdose mortality.
With this challenge, we are delighted to partner with AI LA to bring great minds to bear on shorter-term, pressing problems. With better neighborhood hot-spotting, payers, providers and policymakers can focus their attention and funding on the highest-risk areas, potentially resulting in better returns on investment in SDoH.
PROBLEM: Type 2 diabetes mellitus (T2DM) and asthma are enormous public health challenges that result in high levels of health-related spending and potentially preventable utilization. Many cases of T2DM and asthma are underdiagnosed for years, leading to higher healthcare costs and poorer outcomes. Additionally, T2DM and asthma are often under-treated, leading to suboptimal disease management and higher costs. The problems of underdiagnosis and underutilization are known to be exacerbated in communities of color. Both diabetes and asthma are also known to be sensitive to social determinants of health (SDoH) – the conditions in the places where we are born, grow, live, work, and age that influence our health and well-being.
OUTCOMES: This challenge aims to identify neighborhoods (defined as Census tracts) in California with a high risk of either underdiagnosed or poorly managed T2DM and/or asthma. The winning team will develop a highly accurate, AI-driven approach to predicting the outcome(s) of interest using RTI Rarity™ and other data.
* RTI Rarity database of over 200 variables in 10 domains of social drivers of health, demographics, and more for California
* AHRQ SDoH database for California
* RTI SynthPop™ data for California, if needed
* Medical Expenditure Panel Survey (MEPS) data for the entire US
REQUIRED SKILLS: Data science; data management; predictive modeling. Social epidemiology expertise is useful but not required. Healthcare background helpful but not required.
BACKGROUND: The All of Us Research Program is working to enroll one million or more participants across the U.S. to share data that can fuel new insights into human health. By engaging the participation of people and communities who have been left out of medical research in the past and making their data safely available to a diverse cohort of researchers, the program seeks to accelerate health and medical research to enable individualized prevention, treatment, and care.
PROBLEM: The All of Us Research Program is committed to returning value to our participants and to the research community. As part of this commitment, we would like to engage the research community in creating an interactive, public tool using All of Us data of interest to participants.
OUTCOMES: Develop an interactive, public tool that All of Us participants and the broader community can use to explore and understand issues of health equity related to COVID-19 or social determinants of health.
DATA: Must use data from the All of Us Research Program’s Registered Tier.
More information for both challenges will be available during our virtual information session September 8th at 5pm PT.
PLEASE REGISTER TO RECEIVE AN INVITE TO THE INFORMATION SESSION.