Restoring the Patient Control over Her Medical History

Anciaux, Nicolas; Benzine, Mehdi; Bouganim, Luc; Jacquemin, K.; Pelletier, Philippe; Yin, Shi

doi:10.1109/cbms.2008.101

Cited by 17 publications

(11 citation statements)

References 4 publications

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“…Examples of research contributions using this pattern are the application mentioned in section 2 (Pay per use, Electronic Toll pricing, Smart meter) or the personal health record management approach from [ 22], which is further extended to secure personal data servers [ 23].…”

Section: Example Of Patternsmentioning

confidence: 99%

PEARs: Privacy Enhancing ARchitectures

Kung

2014

Privacy Technologies and Policy

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Abstract. This paper points out the importance of architecture in designing a privacy-by-design system. It provides an overview on how architectures are designed, analysed and evaluated, through quality attributes, tactics and architecture patterns. It then specifies a straw man architecture design methodology for privacy. The resulting PEAR (Privacy Enhancing ARchitecture) methodology is then illustrated through an Intelligent Transport systems (ITS) example application. The integration of the resulting methodology in a Privacy-by-Design process is then explained. Suggestions for future work that will lead to an agreed engineering practice are finally provided.

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Section: Example Of Patternsmentioning

confidence: 99%

PEARs: Privacy Enhancing ARchitectures

Kung

2014

Privacy Technologies and Policy

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“…We assume that such a code can be feasibly transmitted and stored in a patient's integrated personal health record [6], or encrypted on a personal smart card issued to a patient [12], or similarly secured on a patient's portable device for carrying electronic health records [2].…”

Section: Assumptionsmentioning

confidence: 99%

“…In the healthcare sector, there is also substantial widespread concern about the importance of maintaining the privacy and confidentiality of personal health information (PHI) [2,14]. There is significant established regulation issued by the Department of Health and Human Services on the disclosure of PHI by healthcare providers and various affiliated institutions [1], under the Health Insurance Portability and Accountability Act (HIPAA) and more recently the Health Information Technology for Economic and Clinical Health (HITECH) Act.…”

Section: Introductionmentioning

confidence: 99%

An application architecture to facilitate multi-site clinical trial collaboration in the cloud

Sharp

2011

Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing

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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.

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“…PBFilter has been implemented and integrated in the storage manager of an embedded DBMS dedicated to the management of secure portable folders [1]. The prototype runs on a secure USB Flash platform provided by Gemalto, our industrial partner.…”

Section: Platform Descriptionmentioning

confidence: 99%

“…When a new record is inserted, it is added at the end of the record area (RA). Then, a new index entry composed by a couple <key, pt> is added at the end of the key area (KA), where key is the primary key of the inserted record and pt is the record physical address 1 . If a record is deleted, its identifier (or its address) is inserted at the end of the delete area (DA) but no update is performed in RA nor KA.…”

Section: Pbfilter Indexing Schemementioning

confidence: 99%

A sequential indexing scheme for flash-based embedded systems

Yin

Pelletier

Meng

2009

Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

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NAND Flash has become the most popular stable storage medium for embedded systems. As on-board storage capacity increases, the need for efficient indexing techniques arises. Such techniques are very challenging to design due to a combination of NAND Flash constraints (for example the block-erase-before-pagerewrite constraint and limited number of erase cycles) and embedded system constraints (for example tiny RAM and resource consumption predictability). Previous work adapted traditional indexing methods to cope with Flash constraints by deferring index updates using a log and batching them to decrease the number of rewrite operations in Flash memory. However, these methods were not designed with embedded system constraints in mind and do not address them. In this paper, we propose a new alternative for indexing Flash-resident data that specifically addresses the embedded context. This approach, called PBFilter, organizes the index structure in a purely sequential way. Key lookups are sped up thanks to two principles called Summarization and Partitioning. We instantiate these principles with data structures and algorithms based on Bloom Filters and show the effectiveness of this approach through a comprehensive performance study.

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Restoring the Patient Control over Her Medical History

Abstract: Abstract

Cited by 17 publications

References 4 publications

PEARs: Privacy Enhancing ARchitectures

PEARs: Privacy Enhancing ARchitectures

An application architecture to facilitate multi-site clinical trial collaboration in the cloud

A sequential indexing scheme for flash-based embedded systems

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