Cardiogram co-founder Brandon Ballinger detailed preliminary results of the study, which used data from 14,000 Apple Watch wearers. These results are part of the larger DeepHeart study with UC San Francisco.
Here are four things to know.
1. The study used the watch’s heart rate sensors to monitor participants’ heart rates. It then analyzed the data with an algorithm rooted in artificial intelligence.
2. According to a 2015 Framingham Heart Study, resting heart rate and heart rate variability are able to predict incident diabetes and hypertension.
3. The watch accurately detected diabetes in 462 study participants.
4. Previously, Mr. Ballinger and his team used the Apple Watch to detect an abnormal heart rhythm with up to a 97 percent accuracy, sleep apnea with a 90 percent accuracy and hypertension with an 82 percent accuracy when paired with Cardiogram’s algorithm.
More articles on health IT:
Penn State launches big data project to drive population health, personalized medicine research
Researchers use predictive analytics, EHRs to forecast hypertension onset
Cincinnati Children’s Hospital Medical Center launches Maternal and Infant Data Hub
Becker’s 3rd Annual Fall Chief Pharmacy Officer Summit is the top tier event that the people leading the future of pharmacy convene. This 3-day event is built specifically for Chief Pharmacy Officers and senior pharmacy leaders. The sessions examine the workforce, financial and clinical priorities shaping pharmacy today. Becker’s is where candid discussions flourish and new ideas thrive. Becker's 3rd Annual Fall Chief Pharmacy Officer Summit
