Modelling metrics for transparency in medical systems

Dayana Spagnuelo, Cesare Bartolini, Gabriele Lenzini

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

Transparency is a novel non-functional requirement for software systems. It is acclaimed to improve the quality of service since it gives users access to information concerning the system’s processes, clarifying who is responsible if something goes wrong. Thus, it is believed to support people’s right to a secure and private processing of their personal data. We define eight quality metrics for transparency and we demonstrate the usage and the effectiveness of the metrics by assessing transparency on the Microsoft HealthVault, an on-line platform for users to collect, store, and share medical records.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages81-95
Number of pages15
ISBN (Print)9783319644820
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10442 LNCS

Keywords

  • Accountability
  • Auditability
  • Availability
  • Metrics
  • Transparency

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