Safe double blind studies as a service

Tyler J. Skluzacek; Suhail Rehman; Ian Foster

doi:10.1109/eScience.2017.82

Safe double blind studies as a service

Tyler J. Skluzacek, Suhail Rehman, Ian Foster

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

Abstract

The emergence of IoT devices is revolutionizing various aspects of human life, including healthcare, where the use of such devices can potentially improve health outcomes for millions. However, the efficacy of treatments and protocols based on IoT devices is measured through the use of rigorous double-blind studies, which can be quite expensive to conduct as they traditionally require a third party mediator. In this paper, we propose CATnIP, a secure, centralized cloud hub for instrumenting and conducting double-blind studies, with an extended focus on seamless integration with IoT devices. This paper outlines the construction and security considerations of CATnIP, the motivations behind creating such a system, and an evaluation based on the Five Safes and Stakeholder frameworks.

Original language	English
Title of host publication	Proceedings - 13th IEEE International Conference on eScience, eScience 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	504-509
Number of pages	6
ISBN (Electronic)	9781538626863
DOIs	https://doi.org/10.1109/eScience.2017.82
State	Published - Nov 14 2017
Externally published	Yes
Event	13th IEEE International Conference on eScience, eScience 2017 - Auckland, New Zealand Duration: Oct 24 2017 → Oct 27 2017

Publication series

Name	Proceedings - 13th IEEE International Conference on eScience, eScience 2017

Conference

Conference	13th IEEE International Conference on eScience, eScience 2017
Country/Territory	New Zealand
City	Auckland
Period	10/24/17 → 10/27/17

Keywords

Clinical Trial
Double Blind Study
Internet of Things
Research Study
Safe Data

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10.1109/eScience.2017.82

Cite this

Skluzacek, T. J., Rehman, S., & Foster, I. (2017). Safe double blind studies as a service. In Proceedings - 13th IEEE International Conference on eScience, eScience 2017 (pp. 504-509). Article 8109187 (Proceedings - 13th IEEE International Conference on eScience, eScience 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eScience.2017.82

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title = "Safe double blind studies as a service",

abstract = "The emergence of IoT devices is revolutionizing various aspects of human life, including healthcare, where the use of such devices can potentially improve health outcomes for millions. However, the efficacy of treatments and protocols based on IoT devices is measured through the use of rigorous double-blind studies, which can be quite expensive to conduct as they traditionally require a third party mediator. In this paper, we propose CATnIP, a secure, centralized cloud hub for instrumenting and conducting double-blind studies, with an extended focus on seamless integration with IoT devices. This paper outlines the construction and security considerations of CATnIP, the motivations behind creating such a system, and an evaluation based on the Five Safes and Stakeholder frameworks.",

keywords = "Clinical Trial, Double Blind Study, Internet of Things, Research Study, Safe Data",

author = "Skluzacek, \{Tyler J.\} and Suhail Rehman and Ian Foster",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE International Conference on eScience, eScience 2017 ; Conference date: 24-10-2017 Through 27-10-2017",

year = "2017",

month = nov,

day = "14",

doi = "10.1109/eScience.2017.82",

language = "English",

series = "Proceedings - 13th IEEE International Conference on eScience, eScience 2017",

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Skluzacek, TJ, Rehman, S & Foster, I 2017, Safe double blind studies as a service. in Proceedings - 13th IEEE International Conference on eScience, eScience 2017., 8109187, Proceedings - 13th IEEE International Conference on eScience, eScience 2017, Institute of Electrical and Electronics Engineers Inc., pp. 504-509, 13th IEEE International Conference on eScience, eScience 2017, Auckland, New Zealand, 10/24/17. https://doi.org/10.1109/eScience.2017.82

Safe double blind studies as a service. / Skluzacek, Tyler J.; Rehman, Suhail; Foster, Ian.
Proceedings - 13th IEEE International Conference on eScience, eScience 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 504-509 8109187 (Proceedings - 13th IEEE International Conference on eScience, eScience 2017).

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

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N2 - The emergence of IoT devices is revolutionizing various aspects of human life, including healthcare, where the use of such devices can potentially improve health outcomes for millions. However, the efficacy of treatments and protocols based on IoT devices is measured through the use of rigorous double-blind studies, which can be quite expensive to conduct as they traditionally require a third party mediator. In this paper, we propose CATnIP, a secure, centralized cloud hub for instrumenting and conducting double-blind studies, with an extended focus on seamless integration with IoT devices. This paper outlines the construction and security considerations of CATnIP, the motivations behind creating such a system, and an evaluation based on the Five Safes and Stakeholder frameworks.

AB - The emergence of IoT devices is revolutionizing various aspects of human life, including healthcare, where the use of such devices can potentially improve health outcomes for millions. However, the efficacy of treatments and protocols based on IoT devices is measured through the use of rigorous double-blind studies, which can be quite expensive to conduct as they traditionally require a third party mediator. In this paper, we propose CATnIP, a secure, centralized cloud hub for instrumenting and conducting double-blind studies, with an extended focus on seamless integration with IoT devices. This paper outlines the construction and security considerations of CATnIP, the motivations behind creating such a system, and an evaluation based on the Five Safes and Stakeholder frameworks.

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KW - Double Blind Study

KW - Internet of Things

KW - Research Study

KW - Safe Data

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Safe double blind studies as a service

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Keywords

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