A paper published by Boswell et al in npj Digital Medicine showed that videos recorded by patients on their smartphones while they performed the sit-to-stand (STS) transition provided measurements that were sufficient to predict both overall physical health and risk of developing osteoarthritis. In addition, the nearly 500 participants mostly rated the method as overall “very easy” to participate in. Investigators developed a tool that captured and analyzed data from the patient-submitted videos; the tool also collected demographic and health data via patient surveys. They then compared the metrics gleaned from the tool to traditional, in-person, laboratory-collected evaluations of the STS metric. The tool was found to be as effective as lab-gathered data, and with a larger pool of enrolled patients participating digitally, novel findings—including themes in mental health, ethnicity and race, and biomechanics—were uncovered that had not been previously identified in in-person trials. The study authors concluded, “This finding contributes to the growing evidence that mobile, inexpensive, easy-to-use web applications will enable decentralized clinical trials and improve remote health monitoring.”