- Promising potential in federated/distributed approaches that allow data to remain local while still enabling querying and pooling of summary data across systems.
- Ongoing innovation in search technologies with the potential to accelerate use of available data from multiple sources for new insights.
- Meaningful use criteria and health reform provisions that provide starting points and incentives for the development of a learning system for quality improvement and population health, while underscoring the need to be strategic on issues and opportunities, while maintaining flexibility to accommodate breakthrough capacities.
- Need for careful attention to limiting the burden for health data collection to the issues most important to patient care and knowledge generation.
- Requirement for governance policies that foster the data utility for the common good, cultivate the trust fabric with the public and between data sharing entities, and accelerate collaborative progress.
- Availability of standards for aggregation of large pools of data for purposes such as CER, biomarker validation, disease modeling, and improving research processes.
WORKSHOP #1: OPPORTUNITIES, CHALLENGES, PRIORITIES
July 27–28, 2010
Venable Conference Facility
575 Seventh Street NW, Washington, DC 20001
Day One: Tuesday, July 27
||Coffee and light breakfast available
Welcome, introductions, and overview
Welcome, framing of the meeting and workshop series, agenda overview
o Michael McGinnis (Institute of Medicine)
o Charles Friedman (Office of the National Coordinator for Health IT)
o Laura Adams (Planning Committee Chair, Rhode Island Quality Institute)