Jul 15, 2013, 10:00 AM, Posted by
Timothy Landers, RN, CNP, PhD, is an assistant professor at The Ohio State University and a Robert Wood Johnson Foundation (RWJF) Nurse Faculty Scholar. This post originally appeared on the Ohio State Ethiopia blog.
*Gennit is not her real name but the story is true. Her mom gave us permission (from the row behind us) to use this story and photo. Hopefully, this counts as her “What I did over summer vacation” essay when school starts.
I’m sitting on the plane with Gennit, a 13-year old girl who was born in Ethiopia, but now lives in Atlanta with her brother and parents. Gennit is a nice and articulate 13-year girl, and we chatted during the 13-hour flight about our experiences in Ethiopia.
She had a lot of things to say, and I noticed that she was somewhat soft-spoken making it difficult to hear her at times. I asked her about my observation that many Ethiopian girls and women speak softly and what she thought about that.
Gennit told me she thought is was more “ladylike” to speak softly and, in Ethiopia, children are taught that it is wrong for a girl to talk loudly.
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May 20, 2013, 10:21 AM, Posted by
Timothy Landers, RN, CNP, PhD, is an assistant professor at The Ohio State University and a Robert Wood Johnson Foundation (RWJF) Nurse Faculty Scholar.
The Great Challenges Program is an ongoing effort by the TEDMED community to provide innovative, interdisciplinary perspectives on the most complex and challenging issues in health care. A year-long dialogue facilitated through social media tools and panels of experts continued at the annual gathering of TEDMED 2013.
One of the themes of TEDMED 2013 was the creative and thoughtful use of big data and small data to improve health and health care.
Small data includes individual level information specific to an individual or circumstance. In small data, “n=ME.” A vast amount of individual level information is now routinely collected. However, a large volume of data is not required for small data to be useful—in the words of one TEDMED speaker, it’s not the volume of the data, but the complexity of existing data. Data must be available and accessible in order to be useful as well.
Big data refers to patterns of data and information available at the population level. The goal of big data is to use information and take a “macroscopic” view of health. It includes the ability to recognize patterns that are not obvious or readily apparent. Big data analysis permits us to go from pieces of data to collective wisdom, a theme of TEDMED 2013.
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