Managing Healthcare Data Hippocratically
Summary: Prototype Hippocratic DB for healthcare data with database-level policy enforcement. XML policies (P3P/EPAL) shredded into relational privacy meta-data (<purpose, recipient, data category, condition>), matched to XPath-based user preferences, and enforced by query rewriting for fine-grained opt-in/opt-out control. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rakesh Agrawal (IBM)
- 2. Ameet Kini (University of Wisconsin)
- 3. Kristen LeFevre (University of Wisconsin)
- 4. Amy Wang (University of California Los Angeles)
- 5. Yirong Xu (IBM)
- 6. Diana Zhou (University of Wisconsin)
BibTeX Citation
@inproceedings{agrawal_sigmod04,
title = {{Managing Healthcare Data Hippocratically}},
author = {Agrawal, Rakesh and Kini, Ameet and LeFevre, Kristen and Wang, Amy and Xu, Yirong and Zhou, Diana},
series = {{SIGMOD} '04},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1007568.1007713},
url = {https://dl.acm.org/doi/10.1145/1007568.1007713},
year = {2004}
}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 404 | Hippocratic Databases | 2002 | VLDB | 0.00019065022 |
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