Research Team Wins Stanford Medicine X Nokia Digital Health Challenge

Apr 26, 2018

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A global community of researchers, patients, and technologists. Five teams challenged to rethink how research is done.

In 2016, five teams from some of the world’s leading medical research institutes were selected to explore how digital health devices could shape the future of research. Each study was inspired by our Everyone Included™ research principles, which emphasize the role of patients and multidisciplinary care teams in study design.

The results were remarkable. The teams used NOKIA devices, including activity trackers, sleep monitors and smart scales, to investigate a range of clinical problems from heart failure management to opioid use post knee replacement. These new streams of behavioral data provided unique insights into a part of the patient journey that is often overlooked.

Click here to read about the five finalist teams. This is the new era of Everyone Included research, empowered by the patient and by technology.

WINNING TEAM

Washington University St Louis

High Resolution Trajectory Mapping of Post-Discharge Knee Replacement Patients Shows an Excess of Prescribed Opioids: Results of the TRIPP (Trajectories in Postoperative Pain) Study

Meacham K, Gurba K, Haroutounian S, Bijlani R, Shenouda K, Babcock S, Crock L, Bottros MM

In this first-of-its-kind dataset, high-resolution monitoring of post-TKA patients identified a significant excess of prescribed postoperative opioids. The use of this system could help personalize, and thus reduce, the amount of opioids prescribed at discharge for different subtypes of surgeries. Early postoperative monitoring of sleep using the Steel HR watch can be useful in predicting patients who are likely to become high-dose opioid consumers. Future studies using post-discharge tracking are needed to improve postoperative opioid prescription patterns, characterize the novel association between early sleep disruption and persistent opioid use, and further map typical postoperative trajectories to identify patients at high risk of persistent post-surgical pain and opioid use.

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Tags: Research