Looks Beyond Behavioral Health, Announces New Partnerships

image, a 2011 MIT spinoff building behavioral health-focused remote patient monitoring tools, announces that it will begin piloting its platform at a number of US health systems, including: UC San Francisco, Partners HealthCare, Duke University, UC Davis, and University of Nebraska Medical Center. With these new accounts, is now in use by more than half of the top 10 research organizations in the US.’s solution is actually quite interesting. The company has developed an app that runs passively on a patient’s smartphone and monitors daily activity, such as travel patterns, as well as number of texts sent and received, and time spent talking on the phone. From this information, algorithms can deduce changes in the patient’s emotional wellbeing. The app monitors activity over time to develop a baseline for each user, and then can identify when the patient becomes withdrawn or hyper-social, all information that is valuable to the patients care team, as well as to researchers conducting clinical trials.

The platform is being used to collect data in a wide variety of research projects. Partners HealthCare is deploying the app as part of a study aimed at reducing readmissions for patients with psychiatric conditions. UCSF is running a multi-arm study to measure the effectiveness of virtual support tools designed to help patients with major depression. UCSF is also using’s platform to collect data for studies on a wider variety of conditions, such as heart disease and multiple sclerosis. Researchers at Duke University are looking at ways of monitoring the postoperative recovery process, and are using as part of a broader effort to measure a how quickly patients recover and return to normal living. With, researchers at Duke hope they will be able to identify which patients need additional care to get back to their pre-operative quality of life. Researchers at the University of Nebraska are using in a study to see if it might be a good tool to monitor pain management in patients with arthritis, under the premise that phone use and mobility would both be good potential indicators of effective pain management.

As smartphones evolve with each model, adding new sensor and integrating health data from trackers and smartwatches, has done well to position itself as the conduit between researchers and the increasingly valuable smartphone data of their research subjects.

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