By Ernesto Ramirez, PhD (Director of Research & Development, Fitabase)
Personal health data has historically been controlled by the healthcare industry. However, much has changed in the last decade. From wearable devices for tracking physical activity, to services that decode the personal microbiome, there has been an explosion of methods to collect and understand our personal health and health behavior. This explosion has created a new type of data that has the potential to transform our understanding of the deep interactions of health behaviors, exposure, and outcomes — data that is large-scale, longitudinal, real-time, and portable.
New devices, applications, and services are creating large amounts of data by providing methods for collecting information repeatedly over long periods of time. For example, I have tracked over 20 million steps since 2011 using a Fitbit activity tracker. Many of the new tools of personal health data are also connected to the Internet through Bluetooth communication with smartphones and tablets. This connectivity, while commonly used to update databases as devices sync, also provides an opportunity to view data about ourselves in real-time. Lastly, there is an increasing interest in making this data accessible through the use of application programming interfaces (APIs) that allow third parties to access and analyze data as is becomes available. Already we are seeing unique and useful tools being developed to bring consumer personal health data to bear in clinical settings, health research studies, and health improvement tools and services.
The availability of this type of personal health data is having a big impact. The examples provided by the #WeAreNotWaiting and #OpenAPS communities showcase the groundbreaking potential of portable, usable, personal data. It is transforming the quality of life for individuals living with type 1 diabetes. Through access to data from continuous glucose monitors and wireless control of insulin pumps, over 100 individuals have implemented their own version of an artificial pancreas. These pioneering individuals are at the forefront of a revolution using personal health data to take charge of care and customize treatment decisions.
Personal health data will play a major role in the future of precision medicine, healthcare, and health research. Sensors will continue to improve. New data streams will become available. More analytical tools will surface. There will be more support for portable and sharable data. The availability of large-scale, longitudinal, and real-time personal health data will improve not only the ability of individuals to understand their own health, but when pooled, may produce new insights about what works, for what people, under what conditions.