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BUDI: Biofeedback Upper Limb Device for Impairment

A digital health solution for individuals with limited upper limb mobility, such as children with cerebral palsy. BUDI is a program embedded into an Apple Watch to track therapeutic movements of the user throughout the day and provide the user with biofeedback to maximize therapy and rehabilitation of the upper limb in the absence of a clinician.



To evaluate how environmental conditions influence health, we have developed a novel measure of the space within which individuals live and move. We will create individual life-space maps, based on a custom smartphone application that uses GPS-based methods. By mapping the space within which individuals live and move, we can study features of the social and built environment that support health, and identify opportunities for intervention to protect disadvantaged communities.


GaitMate: At-Home Functional Mobility Assessment (FMA) for Fall Risk

Falls in older adults are common, costly and preventable yet identification of those at highest risk remains elusive. At home functional mobility assessments could identify perturbations not identified in sparse healthcare encounters. As such, we have developed a user-friendly app using Stanford’s CardinalKit that automates at-home safe functional mobility assessments. We plan to pilot test the app in 200 older adults, and build predictive models using at-home data. This project will allow us to generate the evidence to take next steps toward research funding and commercialization. If found to be safe and useful to identify older adults at risk for falls, this app could provide a means for health systems to capture missed revenue related to fall risk assessments and reduce downstream costs related to complex fall-related injuries.



Peripheral Vascular Disease (PAD) affects nearly 10M people in the United States and is the manifestation of atherosclerotic disease in the peripheral arteries and manifests itself in the form of “claudication” in the earliest stages of development- this is calf muscle pain/cramping with activity. We treat this condition with exercise therapy, medications and if severe will place stents. The outcome of stenting procedures is quite poor and we do not have a way to monitor patients individually to see who is developing scarring/recurrence faster than others. The aim of this study is to determine if passive activity monitoring can be used to predict early treatment failure.


MyOIT: Oral Immunotherapy for Food Allergies

MyOIT is a CardinalKit-based iOS app focused on helping patients undergoing oral immunotherapy (OIT) for their food allergies at the Sean N. Parker Center for Allergy and Asthma Research at Stanford University.


Slocum study for benchmarking function recovery after ankle fracture

For the first time we are able to access both pre- and post-fracture gait metrics and functional status.  Aided by a grant from the Orthopedic Trauma Association (OTA), Slocum are evaluating if iPhone gait metrics can be used to benchmark functional recovery after ankle fracture using a mobile application built using CardinalKit.

Clinical Application


CARE-IT is a mobile digital health app-based intervention that activates patients to communicate their values and health goals with family members and healthcare providers.

Clinical App

S-SMART (Stanford Surgical Mobile Assessment Risk Tracker)

An early intervention tool to track opioid use and evaluate patient daily functioning post-operation. S-SMART (Stanford Surgical Mobile Assessing Risk Tracker) is a smartphone-based health app for a research study by the VA Palo Alto and Stanford University. S-SMART acts as a platform to track surgical patients across a highly structured episode of care, their relationship between opioid use and pain, and self-reporting health-related symptoms.