Hedaquin: A reputation-based health data quality indicator

T. Deursen, van, R.P. (Paul) Koster, M. Petkovic

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

26 Citations (Scopus)

Abstract

A number of applications based on personal health records (PHRs) are emerging in the field of health care and wellness. PHRs empower patients by giving them control over their health data. Health data for PHRs can be supplied by patients, wellness providers and health care providers. Health care providers may use the PHRs to provide medical care. Unfortunately, the quality of the health data cannot be guaranteed in all cases (e.g. consider cases where non-professionals such as patients and wellness providers supplied the data).

To address this problem, we present in this paper Hedaquin, a system that provides health care professionals with an indication of the quality of health data in a PHR. This indication is based on the reputation of the supplier and on metadata provided by measurement devices. The proposed reputation system mimics the way trust in health data and their suppliers is built in the real world.

Hedaquin uses the Beta reputation system as a starting point and extends it in several directions to cover specific PHR requirements. Firstly, Hedaquin supports the automatic calculation of a rating based on a repeated measurement. Secondly, certificates for the user such as diplomas are taken into account. Thirdly, Hedaquin calculates reputation for different scopes in order to discriminate among different tasks the suppliers of health data can perform. Finally, the time difference between the ratings and the calculation of the reputation influences the weight that is given to a rating.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Workshop on Security and Trust Management (STM 2007, Dresden, GErmany, September 27, 2007))
EditorsL. Compagna, V. Lotz, F. Massacci
Pages159-167
DOIs
Publication statusPublished - 2008
Externally publishedYes

Publication series

NameElectronic Notes in Theoretical Computer Science
Volume197(2)
ISSN (Print)1571-0061

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