Connected Health - Mobile Health and Telehealth

This program supports the development of enabling technologies that emphasize the integration of wireless technologies with human and biological interfaces. This program includes the development of software and hardware for telehealth and mobile health studies.


The program includes the input and delivery of healthcare information digitally for the analysis or monitoring of health or disease status.  The emphasis is on developing mobile health technologies driven by clinical needs and integrating these technologies in healthcare delivery, wellness and daily living.

Program priorities and areas of interest:

  • Predictive: digital technologies that automatically capture information to proactively diagnose, manage, and/or deliver preventive and therapeutic care
  • Pre-emptive: designing interconnected, intelligent solutions with the result in mind
  • Preventative: mobile and home-based devices monitor vital signs and activities in real time and communicate with personal health record services, PCs and smartphones, caregivers and healthcare professionals
  • Personalized care accessible to all communities
  • Machine learning: smarter health systems that continually analyze information from multiple devices and other sources to derive insights and recommendations for the individual’s health regimes
  • Artificial intelligence: analytics programs that monitor mobile device data and use rules and logic to compare against targets, track progress, and send alerts
Grant Number Project Title Principal Investigator Institution
1-DP2-EB022360-01 Communal Feedback as an Innovative Alternative to Skin Self-Exam Jakob Jensen University of Utah
5-R21-EB025284-02 A wearable mHealth system for the longitudinal monitoring of joint function in patients with knee OA Sunghoon Lee University of Massachusetts Amherst
5-R24-EB025845-03 Open mHealth: Community-Based Data and Metadata Standards for Mobile Health Ida Sim University of California, San Francisco
5-R21-EB026164-02 A Medical-Grade Smart-Phone Based Monitoring System Antonis Armoundas Massachusetts General Hospital
5-U2C-EB021881-05 The Health ePeople Resource for Mobilized Research Jeffrey Olgin University of California, San Francisco
5-U54-EB020404-05 Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) - OVERALL Santosh Kumar University of Memphis
1-U24-EB028990-01 Accelerating collaborative, cumulative, and open intervention science with an e-intervention authoring platform Steven Ondersma Wayne State University
1-R21-EB028486-01 Estimating Trajectory of Recovery in Cardiac Rehabilitation using Mobile Health Technology and Personalized Machine Learning Jack Mortazavi Texas Engineering Experiment Station
1-R21-EB028396-01 A wireless fully-passive miniaturized patient-tailored pacemaker Junseok Chae Arizona State University-Tempe Campus
1-R21-EB026347-01A1 Mobile based Nanoplasmonic Quantification of Mtb-derived Exosomes in Serum for Pediatric TB diagnosis Ye Hu Tulane University of Louisiana