Consumer-Centric and Privacy-Preserving Identity Management for Distributed E-Health Systems

Au, Richard; Croll, Peter

doi:10.1109/hicss.2008.101

Cited by 17 publications

(11 citation statements)

References 6 publications

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“…Today, the healthcare systems around the world are moving towards the integration of these distributed data sources, to improve the efficiency in healthcare services through data sharing [19]. Building information systems without carefully planning and developing independent systems for new services, with medical data of a patient scattered in various stand-alone databases, causes cumulative inefficiencies in the information processing and sharing, thus leading to medical mishaps and potential risks in legal liabilities from patient care delivery [20].…”

Section: Integration Of Medical Databasesmentioning

confidence: 99%

Data Mining on Distributed Medical Databases: Recent Trends and Future Directions

Atilgan

Dogan

2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. As computerization in healthcare services increase, the amount of available digital data is growing at an unprecedented rate and as a result healthcare organizations are much more able to store data than to extract knowledge from it. Today the major challenge is to transform these data into useful information and knowledge. It is important for healthcare organizations to use stored data to improve quality while reducing cost. This paper first investigates the data mining applications on centralized medical databases, and how they are used for diagnostic and population health, then introduces distributed databases. The integration needs and issues of distributed medical databases are described. Finally the paper focuses on data mining studies on distributed medical databases.

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Section: Integration Of Medical Databasesmentioning

confidence: 99%

Data Mining on Distributed Medical Databases: Recent Trends and Future Directions

Atilgan

Dogan

2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…In one of the most recent attempts, Au and Croll proposed a privacy-preserving centralized e-health system to provide access to health record data from medical databases distributed across various clinics and hospitals [1]. However, in the related field of voting, Jefferson et al [20] exposed some of the privacy risks introduced by a centralized system, such as the voting system studied in their work [19].…”

Section: Other Homomorphic Encryption Applicationsmentioning

confidence: 99%

Hiccups

Molina

Salajegheh

2009

Proceedings of the First ACM Workshop on Security and Privacy in Medical and Home-Care Systems

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A recent national survey suggests that the HIPAA privacy rule has not only failed to preserve patient privacy adequately, but also has had a negative impact on clinical research. Our work suggests that researchers revisit the possibilities of homomorphic encryption and apply the techniques to secure aggregation of medical telemetry. A primary goal is to maintain the privacy of individual patient records while also allowing clinical researchers to have flexible access to aggregated information.We discuss the preliminary design of HICCUPS, a distributed system that uses homomorphic encryption to allow only the caregivers to have unrestricted access to patients' records and at the same time enable researchers to compute statistical values and aggregation functions across different patients and caregivers. In the context of processing medical telemetry, we advocate expressibility of aggregation functions more than fast computation as a primary metric of system quality.

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“…They discuss the potential impact of privacy compliance on three existing components of the framework, namely, Discovery Service, Identity Mapping Service and Interaction Service; and propose a fourth component Audit Service to address potential privacy breeches in Liberty Alliance. Au and Croll [9] recently proposed a consumer-centric IDM framework for distributed e-Health. The healthcare consumer maintains a pool of pseudonym identifiers in a personal secure device, such as a smart card.…”

Section: Related Workmentioning

confidence: 99%

Identity in federated electronic healthcare

Deng

Scandariato

Cock

et al. 2008

2008 1st IFIP Wireless Days

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In electronic healthcare several research and standardization activities are emerging that promote federation. In this scenario, the medical information present at different healthcare providers, such as hospitals, general practitioners, test laboratories, etc., are shared for an improved quality of experience from the patient perspective. However, sharing of medical data on a large scale exposes the patient to several privacy-related threats, such as massive data aggregation or profiling. Therefore, the selection of a privacy-preserving identification scheme is a primary requirement in federated e-health. This paper presents an identity management infrastructure that minimizes the abovementioned threats.

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Consumer-Centric and Privacy-Preserving Identity Management for Distributed E-Health Systems

Cited by 17 publications

References 6 publications

Data Mining on Distributed Medical Databases: Recent Trends and Future Directions

Data Mining on Distributed Medical Databases: Recent Trends and Future Directions

Hiccups

Identity in federated electronic healthcare

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