Countable Care: Modeling Women's Health Care Decisions Hosted By Planned Parenthood Federation of America

competition
complete
$5,000

Woohoo! This competition has come to a close!

Many thanks to the participants for all of their hard work and commitment to using data for good!

Challenge Summary


Recent literature suggests that the demand for women’s health care will grow over 6% by 2020. Given how rapidly the health landscape has been changing over the last 15 years, it’s increasingly important that we understand how these changes affect what care people receive, where they go for it, and how they pay. Through the National Survey of Family Growth, the CDC provides one of the few nationally representative datasets that dives deep into the questions that women face when thinking about their health.

Can you predict what drives women’s health care decisions in America?


Competition End Date:

April 14, 2015, 11:59 p.m.

Place Prize Amount
1st $3,000
2nd $1,500
3rd $500

Dear DrivenData Scientists,

Planned Parenthood is the nation’s leading provider and advocate of high-quality, affordable healthcare for women, men, and young people, as well as the nation’s largest provider of sex education. With approximately 700 health centers across the country, Planned Parenthood organizations serve all patients with care and compassion, with respect and without judgment. Understanding the trends in women’s health care is critical to delivering the expert, quality care that is the hallmark of Planned Parenthood.

Planned Parenthood is an innovator in health care delivery, continually looking to find the best ways to expand access to quality, affordable care to everyone who needs it. We want your help to better understand the complex dynamics of health care in order to better serve the needs of those who depend on us.

The goal of this competition is to drive innovation and analysis in the field of population health by predicting which reproductive health care services are accessed by women. The end product of the competition will improve public health with novel predictive analytics as part of our effort to give back to the research and healthcare community.

Thank you for lending your time and talents to this important competition!

Sincerely,