Initially developed on the Apple iPhone, it’s a prototype for personalized health, with a twist. The application includes an interface to send 140-character messages to the Twitter infrastructure, as every other Twitter application; however, it also includes an analytics engine that provides a closed feedback loop for the tweeted messages. The closed feedback loop provides graphical time-series analysis of specific personal health concerns.
The Twitter Health application may be configured to handle multiple chronic public health concerns, some which are spelled out in the following chart:
Question Answered by Tweet | Public Health Concern | Health Measure |
What do I weigh today? | Obesity | Daily weight |
How do I feel right now? | Mental Health | Emotional state (i.e., sad) |
How often do I smoke cigarettes? | Smoking | Number of cigarettes smoked per day |
What is my glucose level? | Diabetes | Glucose level |
Twitter Health provides a model for developing new and innovative public health capacity by leveraging existing social network infrastructure and the large concomitant groups of people trafficking in this virtual space. This model has the potential lower historical boundaries between public health and the individual.
The Twitter Health application includes an opt-in feature that enables the application to provide health tweets to public health for surveillance or to receive from CDC or state public health departments helpful information based on the trends associated with their health tweet history relative to the chronic condition they are tracking.
Informing the PHIN community about this approach may spark new ideas and opportunities for innovation and the improvement of public health.
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