The Impact of Big Data Quality Analytics on Knowledge Management in Healthcare Institutions: Lessons Learned from Big Data's Application within The Healthcare Sector

Abstract

It is widely acknowledged that knowledge management is critical to an organization's survival and growth. Every day, higher education institutions that are considered knowledge centers generate massive volumes of data. When this data is analyzed using appropriate computational methods and technology, it can provide knowledge to improve organizational performance and students' academic experience. Healthcare organizations create massive volumes of data as a result of the usage of digital technologies to manage patient information and the organization's operations. When used successfully, this data aids in the creation of information that improves patient health and everyday organizational functioning, as well as the prevention of unfavorable public health scenarios such as the spread of infectious illnesses. This is where big data analytics comes in, providing rational methods for navigating enormous quantities of data to disclose knowledge that assists businesses and analysts in making faster and better decisions. Higher education, like healthcare, creates large amounts of heterogeneous data that hides useful knowledge. As a result, the strategies used by healthcare companies to improve their performance using big data are replicable in the education domain as well. This article examines the use of big data for knowledge management in healthcare using case studies incorporating various analytics and draws parallels to be applied in higher education. As a result, it highlights the possibility of adapting analytics technology and tools from healthcare to higher education with appropriate revisions and adaptations.

Corporate Governance of Sustainable Artificial Intelligence (AI) in Strategic Communication (SC) and Digital Marketing (DM): United Arab Emirates Guidelines

“…The results of a study by (Maspul, 2021) showed that customers were satisfied with AI-based food production systems supporting sustainability in the United Arab Emirates by reducing carbon footprint, using fewer resources, and minimizing waste. Another study conducted by (Johnson et al, 2022) revealed that Apple and Google's privacy-centric changes impacted digital marketing strategies, targeting, measurement, and emphasizing privacy in digital advertising (Ravikumar et al, 2023;Salameh et al, 2022;Shwedeh, Adelaja, et al, 2023). (Vinuesa et al 2020) used the term "Sustainable AI" to refer to artificial intelligence that contributes to achieving Sustainable Development Goals (SDGs).…”