N.J. Foundation Awards $2.4 Million in Health IT Grants | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

N.J. Foundation Awards $2.4 Million in Health IT Grants

March 9, 2010
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The Robert Wood Johnson Foundation (RWJF, Princeton, N.J.) has selected five teams for a project that will explore how patient-recorded observations of daily living (ODLs) can be captured and integrated into clinical care. RWJF is awarding a total of more than $2.4 million to five grantee teams to test whether and how information such as the stress levels of caregivers of premature infants and medication-taking routines of seniors at risk of cognitive decline can be collected, interpreted and acted upon by patients and clinicians in real-world settings, it says.

Project HealthDesign, which is led by a team of experts working in health IT and patient-centered care at the University of Wisconsin-Madison, will award a two-year, $480,000 grant to the following five teams:

  • Carnegie Mellon University, Pittsburgh — develop and evaluate of new technology that will monitor the routine of older individuals who have arthritis and are at risk for cognitive decline;
  • RTI International and Virginia Commonwealth University, Richmond, Va. — design a PHR application, BreathEasy, building on the latest clinical guidelines for treatment and self-monitoring for patients with asthma and depression;
  • San Francisco State University, San Francisco — collect observations of daily living via smartphones for low-income teens that are simultaneously managing obesity and depression;
  • University of California, Berkeley — partnership with The Healthy Communities Foundation and the University of California, San Francisco to help young adults with Crohn’s disease create visual narratives of their condition and treatment to provide concrete feedback to providers about how they feel from day to day;
  • University of California, Irvine and Charles Drew University (Irvine) — create a mobile device for collecting data from pre-term low birth weight infants and their primary caregivers that will allow them to more easily interface with providers to improve care and communication.
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