Big Data

In partnership with organizations such as Walgreens and Withings, the Scripps Translational Science Institute (STSI) is exploring some of the largest patient-generated datasets in the world to better understand how people make use of activity trackers, health-monitoring devices, and smartphone apps to improve their health. The information gleaned from this data will provide new insight into how these technologies motivate individuals to take charge of their health and inform design decisions that maximize adherence and engagement.

Self-Monitoring Utilization Patterns – Walgreens’ Balance Rewards for healthy choices™ program

A rise in the adoption of digital technologies has enabled individual consumers to begin tracking meaningful biometric data about themselves. This has prompted nontraditional health care organizations, such as retail clinics, to develop systems that empower users to monitor and manage their own health.

By partnering with Walgreens, one of the nation’s largest drugstore chains, researchers at STSI are evaluating the characteristics of health data self-tracking, through the Walgreens’ Balance Rewards for healthy choices™ program, an incentivized, web-based self-monitoring program.

The initial study provided insights into the utilization patterns of 450,000 individuals participating in the program, highlighting the potential role of web and mobile-based self-monitoring in the future of health management.

Real World Blood Pressure Variability – Withings’ Wireless Blood Pressure Monitor

Visit-to-visit and day-to-day Blood Pressure Variability (BPV) is known to be associated with an increased risk of stroke, coronary events, and mortality independent of mean blood pressure. However, the vast majority of BPV studies are based on measurements obtained in a clinical setting, and therefore are not fully representative of the real-world characteristics of BPV.

STSI has partnered with the consumer electronics company Withings, to investigate the real-world characteristics of BPV based on a data-set derived from over 56,000 active users of the Withings Wireless Blood Pressure Monitor. The initial study analyzes almost 17 million individual BP measurements and focuses on BPV and its association with age, sex, and time and seasonal variation.