Projects
The CardinalKit team officially supports over 20 projects across 6 universities and countless other teams around the world have used our open-source tools to build their own digital health solutions!
These are some of our featured projects below:
PAWS: Pediatric Apple Watch Study
An application for capturing and analyze ECG voltage data in pediatric patients with suspected arrhythmias for early diagnosis using the Apple Watch.
Balance
A companion application to support patients suffering from eating disorders in-between therapy sessions. Balance tracks emotional regulation in adolescents with anorexia nervosa to reduce their emotional and physiological stress during mealtimes.
U-STEP
An app developed for the University of Utah School of Medicine that allows patients with Peripheral Vascular Disease (PVD) to asynchronously complete PROM surveys and gait tasks to expand the reach and retention of patient data collection.
PatchTrackr
A way to improve access to diagnosis of allergic contact dermatitis (ACD) in patients with known chronic eczema to facilitate allergen identification and management.
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.
LifeSpace
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.
VascTracX
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.
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.
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.
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.
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.
Care-It
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.