Feverprints is a mobile app built on Apple HealthKit & ResearchKit to crowdsource the collection of fever data to help physicians better understand how to use fever as a tool to improve medical diagnoses.

Project Overview

Feverprints is an iOS native application, built using Apple’s HealthKit and ResearchKit, that seeks to leverage modern technology to recruit thousands of children and adults from across the United States for the largest research study of body temperatures ever created. By collecting crowdsourced data from patients’ phones, the study aims to understand how body temperatures differ between individuals of different backgrounds, ages, and sizes, in order to redefine what “normal” and “febrile” temperatures are. The study also hopes to identify specific fever patterns (“feverprints”) for different illnesses that will allow doctors to make quicker and more accurate diagnoses.  Finally, the study will determine the effect of antipyretics (medicines to decrease fever) on the severity and length of an illness

Healthcare Context

Fever is one of the most common signs of illness, and its presence causes anxiety to many. Surprisingly, 160 years after temperature became a “vital sign” taken at every medical encounter, we still know very little about fever. Better understandings of how body temperature varies between individuals and identification of disease fever patterns could allow doctors to make faster, more accurate diagnoses.

In the News

Jared Hawkins
Director of Informatics
Nitin Gujral
Director of Software Development
Soleh Al Ayubi
Technical Lead
Fatma Dedeoglu
Jonathan Hausmann, M.D.
Director of Software Development