Data integration and interoperability are critical challenges in healthcare systems, where diverse sources of data need to be seamlessly integrated and exchanged to support clinical decision-making and patient care. This project aims to investigate the design and implementation of data integration solutions for healthcare systems, with a focus on interoperability standards, data exchange protocols, and semantic interoperability. The project will explore the use of healthcare information exchange platforms and standards to enable seamless data sharing and integration across different healthcare organizations and systems.
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This research explores how to build and apply a theoretical framework for evaluating the ethics of artificial intelligence (AI) used in business settings. It as...
The research topic explores how cities can manage the interconnected systems of water, energy, and waste more effectively by using a resilience-framing framewor...
This research explores a resilience-framing framework for urban environmental management systems, focusing on how cities plan for, respond to, and learn from en...
The research investigates how speakers manage meaning across languages in multilingual settings by proposing a Pragmatic-Narrative Alignment Model. It aims to e...
A Framework for Cross-Sensory Narrative in Contemporary Art Design is about how artists combine multiple senses—such as sight, sound, touch, and even smell or...
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The research focuses on designing and validating a competency-based framework to guide agricultural science education reform. It asks how education for future a...
This research explores how an interconnected digital and human-centered learning environment can promote transformative outcomes in adult education. It asks whe...