Projects
Our group designs, develops, and implements a number of digital health projects, ranging from open-source tools and frameworks that support modern, standards-based and interoperable digital health software development, and real-world digital health applications for medical research and clinical care in partnership with clinicians and researchers from Stanford and beyond.
If you are interesting in joining out ongoing research, check out our research opportunities & open positions.
Open-Source Digital Health Frameworks
Spezi
Build modern, interoperable digital health applications with an open-source ecosystem of modules based on international health data standards such as HL7 FHIR.
Applications of AI in Digital Health
LLMonFHIR
Use Large Language Models to explain your health record data.
Partner Projects
Quantitative DigitoGraphy
A Comprehensive Real-Time Remote Monitoring System for Parkinson’s Disease consisting of a Bluetooth finger tapping device, Spezi-based mobile application, machine-learning algorithm, and Epic-integrated clinician dashboard.
LifeSpace
To evaluate how environmental conditions influence health, we have developed a novel measure of the space within which individuals live and move. 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.
Post-Intensive Care Syndrome (PICS)
An app for collection of Patient Reported Outcomes Measures (PROMs) from patients who have undergone prolonged intensive care therapy.
NeuroNest
The NeuroNest project aims to develop a low-cost, mobile system for early neurodevelopmental screening in children, focusing initially on autism spectrum disorders.
PRISMA
An LLM-based conversational agent for personalized health behavior change to encourage physical activity.
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.
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.
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. GaitMate is a user-friendly app using Stanford’s CardinalKit that automates at-home safe functional mobility assessments.
MyOIT: Oral Immunotherapy for Food Allergies
MyOIT lets participants of oral immunotherapy (OIT) easily track their food allergy dose amounts, symptoms, and much more! Built with patients and clinicians at the Sean N. Parker Center for Allergy and Asthma Research, MyOIT provides relevant insights, helping to improve shared treatment decision making.
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.