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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.

Emphasis

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-R21-EB026164-01 A Medical-Grade Smart-Phone Based Monitoring System Antonis Armoundas Massachusetts General Hospital
5-R21-EB022271-02 Improving Calibration of Wearable Blood Pressure Monitoring Quan Zhang Massachusetts General Hospital
1-R21-EB025284-01A1 A wearable mHealth system for the longitudinal monitoring of joint function in patients with knee OA Sunghoon Lee University of Massachusetts Amherst
5-R24-EB025845-02 Open mHealth: Community-Based Data and Metadata Standards for Mobile Health Ida Sim University of California, San Francisco
5-U01-EB020589-02 Unassisted Blood Pressure Monitoring Using Arterial Tonometry and Photoplethysmography Sanjay Mehrotra Northwestern University at Chicago
5-U2C-EB021881-04 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
5-UH2-EB024407-02 Crowd-Sourced Annotation of Longitudinal Sensor Data to Enhance Data-Driven Precision Medicine for Behavioral Health Stephen Intille Northeastern University
5-R21-EB022369-02 Using mHealth technology to identify and refer surgical site infections in Rwanda Robert Riviello Brigham And Women'S Hospital
5-R21-EB023115-02 Label-free, non-invasive and cost-effective monitoring of HIV viral load using a nano-plasmonic sensor on a contact lens Aydogan Ozcan University of California Los Angeles