Visionist, Inc. is successfully applying years of experience creating custom software and analysis solutions to the health domain. We believe that modern healthcare and public health solutions will display up-to-date metrics in visually appealing and user-friendly interfaces to aid in better decision-making, treatments, and access to care. We challenge teams to join us in this important mission and develop interesting data-driven technology solutions to some of the health industry’s most pressing problems.
Your solution must use at least one of the datasets below, but you are welcome to include any additional external data sources. Your solution can range from presenting interesting results in a slide show (explain the backing code), to a mobile application, to a webpage/SPA, or all the way to a interactive AR/VR experience. Don't simply display the data given. You must transform/combine the data to produce something new and interesting. Data science methods encouraged, but be able to explain what you've done!
All members of the winning team will receive $50 Amazon gift cards to be furnished as soon as possible.
Data set may be either CSV or JSON. Each dataset may have an associated data dictionary which describes the fields, types, and relationships within that dataset. You may still need to explore the data to understand and make connections. We encourage reading over the dictionaries as the descriptions are much more in-depth than this brief summary listing.
Provided are some sample questions meant to seed thought and are not requirments for a valid solution
State- and county-level estimated rates of opioid prescriptions in 2016 and 2017.
County-level rates
Location, rating, and category information of health providers and businesses listed on Yelp.
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Does access to care and quality differ for residents in different areas? Can these be visualized effectively for community planners?
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Can features from open-source data be used to predict outcomes accurately and faster than traditional methods?
Unstructured text posts from a long-running opioid withdrawal thread on a drug user forum.
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What are typical strategies, barriers, and challenges of opioid withdrawal? How can helpful findings be distributed to addicts and practitioners?
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Have patterns of use, substances, attitudes, etc changed over time?
Location data used in Take-Back America as seen on U.S Department of Health and Human Services