MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Restoring the Patient Control over Her Medical History
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
HIDE: An Integrated System for Health Information DE-identification
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
Taking account of privacy when designing cloud computing services
CLOUD '09 Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Hive: a warehousing solution over a map-reduce framework
Proceedings of the VLDB Endowment
Towards trusted cloud computing
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
An evaluation of feature sets and sampling techniques for de-identification of medical records
Proceedings of the 1st ACM International Health Informatics Symposium
Proceedings of the 1st ACM International Health Informatics Symposium
Proceedings of the 1st ACM International Health Informatics Symposium
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The regulatory environment in the U.S. healthcare sector and the privacy concerns surrounding personal health information complicate research collaborations between investigators, especially collaborations across healthcare organizational boundaries. This paper examines software systems traditionally employed by healthcare providers to utilize clinical data for research purposes within and between organizations. A conceptual software architecture utilizing cloud-based services is then proposed that, it is suggested, may facilitate collaboration between researchers in multisite clinical trials. Several related challenge areas are then identified.