The research team designed and tested a data visualization tool of both home- and clinic-derived blood pressure data to aid patients and physicians to better understand hypertension control and inform shared treatment decisions.
The researchers developed a mobile health application to distribute evidence-based pain self-management strategies to patients with juvenile idiopathic arthritis.
This research developed and evaluated a mobile health application to improve screening, intervention, and referrals in the care of pregnant women.
This research provided patients direct access to their cancer genomic sequencing results through a web-based portal: Helping Oncology Patients Explore-Genomics (HOPE-Genomics).
In this study, researchers assessed the feasibility of using commercial off-the-shelf mobile technology, including phones and fitness trackers, to collect and report patient-generated health data and patient-reported outcomes from diverse, disadvantaged patients in an urban safety net health care system.
This research supported the development of electronic applications that enable the collection of diverse patient-reported outcome measures in a standardized manner across health providers and systems to enable broader data sharing for clinical care and research.
This contract provided the administration and management of the Agency for Healthcare Research and Quality's “Step Up App Challenge: Advancing Care Through Patient Self-Assessments.”
This research developed DDInteract, a patient-facing shared decision making (SDM) tool that uses interactive decision dashboards to graphically communicate risks and decision options, supporting SDM for patients and providers regarding drug-drug interactions.
This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
