全球智库信息集成服务系统

Key Findings:

• More than half of the projects proposed to build infrastructure or address research questions specific to one or more medical conditions, including cardiovascular diseases and cancer.
• At the time of the study, projects were making strong progress toward meeting goals, which included automating data collection and aggregating data from multiple data sources, developing databases and data sets that incorporated data from various sources and were large enough that projects could address questions specific to the Institute of Medicine priority populations, successfully integrating informatics tools and algorithms into electronic health records for clinical use and for conducting CER, expanding existing research networks, and conducting pilot tests.
• Project investigators reported several facilitators of project success, including an existing infrastructure to build upon, a project team with relevant expertise, and strong partner collaborations.
• Investigators mentioned lacking an existing project infrastructure to build upon, experienced team members, and partner buy-in as challenges to their project’s success. In addition, they described challenges in linking data from different systems, data completeness, and consistency problems and regulatory issues.