Modelling metrics for transparency in medical systems

Dayana Spagnuelo; Cesare Bartolini; Gabriele Lenzini

doi:10.1007/978-3-319-64483-7_6

Modelling metrics for transparency in medical systems

Dayana Spagnuelo, Cesare Bartolini, Gabriele Lenzini

Business Web and Media

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	81-95
Number of pages	15
ISBN (Print)	9783319644820
DOIs	https://doi.org/10.1007/978-3-319-64483-7_6
Publication status	Published - 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10442 LNCS

Funding

Supported by FNR/AFR project 7842804 TYPAMED

Funders	Funder number
FNR/AFR	7842804 TYPAMED

Keywords

Accountability
Auditability
Availability
Metrics
Transparency

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-64483-7_6

Persistent URL (handle)

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Cite this

Spagnuelo, D., Bartolini, C., & Lenzini, G. (2017). Modelling metrics for transparency in medical systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 81-95). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10442 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-64483-7_6

Spagnuelo, Dayana ; Bartolini, Cesare ; Lenzini, Gabriele. / Modelling metrics for transparency in medical systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2017. pp. 81-95 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Spagnuelo, D, Bartolini, C & Lenzini, G 2017, Modelling metrics for transparency in medical systems. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10442 LNCS, Springer Verlag, pp. 81-95. https://doi.org/10.1007/978-3-319-64483-7_6

Modelling metrics for transparency in medical systems. / Spagnuelo, Dayana; Bartolini, Cesare; Lenzini, Gabriele.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, 2017. p. 81-95 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10442 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Modelling metrics for transparency in medical systems

AU - Spagnuelo, Dayana

AU - Bartolini, Cesare

AU - Lenzini, Gabriele

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Accountability

KW - Auditability

KW - Availability

KW - Metrics

KW - Transparency

UR - http://www.mendeley.com/research/modelling-metrics-transparency-medical-systems

U2 - 10.1007/978-3-319-64483-7_6

DO - 10.1007/978-3-319-64483-7_6

M3 - Chapter

SN - 9783319644820

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 95

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -

Spagnuelo D, Bartolini C, Lenzini G. Modelling metrics for transparency in medical systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017. p. 81-95. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-64483-7_6

Modelling metrics for transparency in medical systems

Abstract

Publication series

Funding

Keywords

UN SDGs

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