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    Date submitted
  • 05-Jul-2018

Health Policy & Systems Research

Abstract

Productivity loss due to health is costing the US around $260 billion each year, which is several times greater than the direct medical costs. Our interdisciplinary approach grounded in data science and technology aims to determine health problems causing the highest loss in productivity for employees, identify demographic factors associated with that, provide information to patients through mobile apps, and connect them with a peer-leader in their community for troubleshooting.

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Additional Questions

Who is your customer?

Patients/employees, Policymakers, Departments of Health

What problem does this idea/product solve or what market need does it serve?

This idea has the ability to raise the income of middle-income households by more than 10%

What attributes will make this idea/product successful? Why do you believe that those features will create success?

Traditionally, providers have provided self-management strategies to their patients in one-on-one kind of interventions; however, these interventions are expensive and difficult to pursue in primary care settings. With the increase of mobile technologies, less intensive interventions can be applied to improve self-management—which is now an accepted approach for chronic diseases. In this project, we will develop an app that in addition to increasing the awareness of those diseases and measuring productivity loss, will connect employees to a peer-leader from their community to manage their health issues. In addition, using data analysis and GIS methods will empower our analyses and will raise the chance of success in our project.

Explain how you (your team) will execute to make this idea/product successful? What gives you (your team) an advantage over others already in the market or new to this market?

This proposal is innovative in the following ways: 1. Gathering diverse team members with exceptional experience including in econometrics, self-management, mobile apps development, health services research, and public health will strengthen our analyses and discussions. 2. Developing a multifunctional mobile application for different health problems that includes the communication between patients and a peer-leader in their community and ease the access to care in rural areas. 3. Adopting an interdisciplinary, multifaceted approach and an innovative idea grounded in facts, data science, and technology to increase the income of middle-class families by 2020 in a cost-effective manner. 4. Using GIS methods in our analysis to identify hot spots for health problems that cause productivity loss and assist in solving rural workforce problems.