Home | Search | Help  
Home Page Università di Genova

Seminar Details


Date 4-7-2011
Time 12:15
Room/Location DISI-Sala Conferenze III piano
Title CYCORE: A Cyberinfrastructure to Support Comparative Effectiveness Research in Behavioral Medicine
Speaker Susan K. Peterson
Affiliation PhD, MPH, Associate Professor, Department of Behavioral Science, M. D. Anderson Cancer Center, Houst
Link https://www.disi.unige.it/index.php?eventsandseminars/seminars
Abstract The limited focus on health behavior change interventions in comparative effectiveness research (CER) has been a major hindrance in this research landscape. The rigorous testing of cancer treatment and prevention strategies has been hampered by well-known problems: poor patient adherence, inability to accurately measure environmental influences on health, and limited data on lifestyle behaviors that may affect disease progression or recurrence. The potential usefulness of CER to inform health decision-making and policy change can be greatly enhanced by rigorous and systematic collection and integration of data on health behavior and related domains. The primary aim of the CYCORE project is to create a prototype for a user-friendly, open-source cyber-infrastructure (CI) that supports the collection, storage, visualization, analysis and sharing of behavioral and other health outcome data to enhance CER in cancer. The primary interface between patients and the CI is via CYCORE’s intelligent Home Health Hub (H3), to which a set of biometric and environmental sensors transmits recorded data that are then relayed to a data-management system via a web-service interface. To date, requirements for CI development have been gathered from 66 stakeholders, including researchers and clinicians from multiple disciplines in oncology, and have identified the need for CYCORE to: 1) convey frequently updated, and ideally near real-time, symptom assessment and intervention-adherence feedback to clinicians and researchers; 2) automate collection of self-reported data; 3) provide algorithms to analyze and validate data from multiple sensors; 4) integrate institutionally-established ontologies with more globally-accepted structures (e.g., caBIG). The next phase of CYCORE will involve testing and evaluation of the prototype CI in target patient populations.
Back to Seminars