Data Management for Meeting Global Health Challenges

نویسندگان

  • Tapan S. Parikh
  • Kuang Chen
چکیده

Organizations and health agencies working on meeting global health challenges are becoming increasingly data driven. Governments and donors are demanding rigorous and up-todate assessment of patient needs and health service delivery. These organizations work in some of the most difficult data environments dealing with limited infrastructure and human resources, inconsistent data quality and availability, not to mention significant data backlogs. This panel combines perspectives from a range of active researchers and practitioners managing large-scale deployments, including: evaluating large-scale health policies and interventions, managing day-to-day clinical activities, and responding to remote outbreaks of disease. Data challenges in global health intersect with many current topics in database research. Potential topics to be discussed include: trade-offs between data quality, latency and cost; dealing with heterogeneous data sources, privacy challenges, managing provenance and mobile data collection.

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عنوان ژورنال:
  • PVLDB

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2011