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Title |
FAIR: Intelligent Framework and Software Architecture for Healthcare Industry to ensure Information Assurance and Regulatory Compliance |
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Author |
Syeda Uzma Gardazi, Tahira Nazir, and Naurin Farooq Khan |
| Citation |
Vol. 25 No. 6 pp. 179-195 |
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Abstract |
The intricate reciprocity between technology and healthcare services demands robust software systems that can manage extensive amounts of data, and personal information and adhere to rigid regulatory standards set by the governing bodies. This research aims to develop a software framework for the US healthcare industry to ensure compliance with security, privacy regulations and standards using the latest techniques and technology. In this research we are going to propose a novel software architecture and framework (FAIR) by using Artificial Intelligence techniques and case study. The proposed framework and architecture help in audit of regulatory compliance, analyze impact of Compliance Attributes (CA) on Quality Attributes (QA) along with software architecture. The proposed framework and architecture will help the United States healthcare industry to track compliance and control unauthorized access to Health Information. |
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Keywords |
Artificial Intelligence (AI), Compliance, Compliance-driven Software Architecture, Privacy, Security, Regulatory Compliance automation, Software Architecture and Software Engineering, Risk and Legal Compliance |
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