Automating Normative Control for Healthcare Research
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| Publication date | 2021 |
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| 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 |
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| Series | Lecture Notes in Computer Science |
| Pages (from-to) | 62-72 |
| Publisher | Cham: Springer |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-030-89811-3_5 |
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