Team interlucent

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Information about Team interlucent

Published on February 25, 2014

Author: health2dev


Team Interlucent Using data for better health in San Diego Diana Gesshel Andrew Akagawa Anita Cheng

The Problem Making health care data tangible and actionable by policy makers and citizens both of whom have limited resources to spend.

The Solution ➔ Make information personal by bringing health information home ◆ Health outcomes on the neighborhood and street level ◆ Neighborhood risk factors in full view ➔ Present a call to action ◆ Rigorous, priority-based guidance for effective resource management ➔ Measure the effectiveness of actions over time.

Pareto Analyses and Street Level Views ➔ Pareto analyses focus users on the highest priorities, helping them make the best use of their limited resources ➔ Street level views are a window into the environment in which the problem exists

The Future ➔ Trending: Measuring the success of our actions ➔ Enhancing: Make the tool even more powerful by: ◆ Adding health care cost data ◆ Including more health-affecting neighborhood landmarks ◆ Building the framework for community incentive programs and resources ➔ Maintaining: Uploading/adding and monitoring new data as they become available ➔ Engaging policymakers and citizens to track their progress to better health

Future development plans ➔ Add social media to promote competition between residents ◆ Integrate FitBit and Nike Fuel data (and others) ➔ Add further community incentives ◆ Reward programs from supermarkets/farmers markets ◆ Promotions from local health organizations (gyms, phys ed classes, etc) ➔ Add additional geolocational and trending data as they become available

Web app demo

Thank you to the sponsors the organizers the caterers and coffee

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