Automating Normative Control for Healthcare Research

Authors
Publication date 2021
Host editors
  • V. Rodríguez-Doncel
  • M. Palmirani
  • M. Araszkiewicz
  • P. Casanovas
  • U. Pagallo
  • G. Sartor
Book title AI Approaches to the Complexity of Legal Systems XI-XII
Book subtitle AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020 : revised selected papers
ISBN
  • 9783030898106
  • 9783030898120
ISBN (electronic)
  • 9783030898113
Series Lecture Notes in Computer Science
Pages (from-to) 62-72
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
There is an increasing need for norms to be embedded in technology as the widespread deployment of big data analysis appli- cations increases. However, existing methodologies do not provide au- tomated policy enforcement mechanisms especially for policies derived from legislation and contractual agreements. Consequently, data access is hindered and collaborations derailed due to fear data misuse and high non-compliance fees. This research aims to automate normative con- trols in healthcare, such as data sharing agreements, and ultimately, enforce these policies for compliant data usage and access which encour- ages collaboration and facilitates research outcomes while maintaining accountability. This paper outlines the PhD research questions, current approaches and preliminary results.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-030-89811-3_5
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