We provide you a suite of tools to build your modern, interoperable digital health experience from the ground up,
from the app itself to storing and analyzing collected data in the cloud.
CardinalKit is designed to accelerate rapid prototyping of digital health applications by reducing costs by as much as 75% (~$150,000) and timelines by 12 months.
Available on iOS and Android!
CardinalKit provides a robust set of features on iOS, built with native Apple Health frameworks.
+ Simple configuration and setup for accelerated development.
+ Informed consent process and survey generation using ResearchKit.
+ Track day-to-day adherence with CareKit.
+ Monitor health data with HealthKit.
+ Collect movement data using CoreMotion.
+ Automatic data collection and upload to the cloud using Firebase.
+ Data represented according to international healthcare data standards such as Open mHealth and HL7 FHIR.
+ HIPAA-compliant authentication methods, including Sign in with Apple and Google.
CardinalKit now provides a solid foundation for your digital health applications on Android too, leveraging cutting edge Android Health APIs.
+ Generate FHIR Questionnaires using Android FHIR.
+ Schedule daily tasks and track completion.
+ Collect health data with Health Connect.
+ Automatic data collection and upload to the cloud using Firebase.
+ Data represented according to international healthcare data standards such as Open mHealth and HL7 FHIR.
+ HIPAA-compliant authentication methods, including Sign in with Google.
CardinalKit is an extensible, open-source, and scalable platform built for and by developers, physicians, and researchers.
+ Extensible: CardinalKit gives your project access to several recognized medical surveys, Bluetooth-wearable integration, and limitless data collection
+ Open Source: CardinalKit is entirely available on Github and is maintained by a diverse community of medical researchers and developers.
+ Scalable: CardinalKit utilizes several Google Cloud services that can directly hook into your organization's IT infrastructure for seamless data collection.
Research Team Interest Form
We can teach you to build your own CardinalKit app.
Throughout the year, we offer workshops and build-a-thons to help you learn CardinalKit fluently, as well as its underlying technologies, like HealthKit, ResearchKit, and Google Cloud.
If you need assistance at any other time, feel free to reach out to us.
CardinalKit is entirely open source which means that anyone can contribute to its production. We're always looking for developers to build out features that can expand CardinalKit's capabilities and make it easier to build large scale research applications.
Even if you're new to open source and/or Github, feel free to reach out and we'll get you started!
Using iPhone gait metrics to benchmark functional recovery after ankle fracture.
Life-space mapping to study features of the social and built environment that support health.
The world's first peripheral artery disease (PAD) study powered completely by the iPhone.
An early intervention tool to track opioid use and evaluate patient daily functioning post-operation.
Care-It empowers patients and families in advanced care planning.
A virtual coach for stroke and neuro-rehab patients.
Oral immunotherapy study at the Sean N. Parker Center for Allergy and Asthma Research
A digital health solution for children with cerebral palsy, embedded into an Apple Watch to track therapeutic movements and provide biofeedback to maximize rehabilitation of the upper limb in the absence of a clinician.
A novel mobile application-based intervention and clinical support tool to help individuals with
schizophrenia spectrum disorders to make positive lifestyle changes.
Automated at-home safe functional mobility assessments used to build predictive models to identify perturbations not identified in sparse healthcare encounters.
Integration of sensor data into an open-source learning health system to characterize the associations between heart rate variability and momentary assessment of chronic pain symptoms.
Passive activity monitoring for early prediction of outcomes from surgery for Peripheral Artery Disease.
A platform for management and prevention of cardiovascular disease with Bluetooth-enabled data
collection from scales and cuffs.
Outpatient care for post kidney transplant recovery with variable medication tracking.
Tracking physiological data and physical activity using Apple Watches and location data using Bluetooth
beacons to generate new knowledge regarding aspects of the built environment that promote both
environmental sustainability and occupant wellbeing.
CardinalKit is an initiative housed in the Stanford Byers Center for Biodesign at Stanford University.
Our team is composed of healthcare
professionals, academic researchers, designers, developers, and students.
Director: Oliver Aalami, MD
Lead Architect: Vishnu Ravi, MD
If you're interested in CardinalKit, please reach out to us at cardinalkit@stanford.edu!
