phyllotaxis.net

As a continuation of this project, we’ve just finished a second health visualization using GE’s data. Like the first round, we started with ~6 million patient records from their “MQIC” database. Using the software, you input gender, age range, height/weight (to calculate BMI), and smoking status. Based on the selections it shows you the number of people in the database that match those settings, and the percentages that have been diagnosed with diabetes, heart disease, hypertension, or have had a stroke:

(More background on how the piece was created can be found here.)

A simple, interactive means for seeing connections between demographics, diseases, and diagnoses:

We developed this project for GE as part of the launch of their new health care initiative. With the input and guidance of a handful of departments within the company, we began by looking at their proprietary database of 14 million patient records looking for ways to show connections between related conditions. For instance, we wanted visitors to the site to be able to learn how diabetes diagnoses increase along with obesity, but convey it in a manner that didn’t feel like a math lesson. By cycling through the eight items at the top (and the row beneath it), you can make several dozen comparisons, highlighting what’s found in actual patient data. At the bottom, some additional background is provided based on various national health care studies.