This study investigates the influence of data quality on decision-making processes within
organizations that heavily rely on information for their operations. With the increasing …

The rapid advancement of artificial intelligence (AI) has led to the emergence of large
language models (LLMs) as powerful tools for various applications, including healthcare …

With the rapid advancement of information technology, both hardware and software, smart
healthcare has become increasingly achievable. The integration of medical data and …

Big data refers to extremely large data generated at high volume, velocity, variety, and
veracity. The nurse scientist is uniquely positioned to leverage big data to suggest novel …

The adoption of machine learning (ML) and, more specifically, deep learning (DL)
applications into all major areas of our lives is underway. The development of trustworthy AI …

El personal de salud es aquel sistema principal de la atención dentro de los
establecimientos de salud, donde desempeñan un papel importante, brindando una buena …

Data quality monitoring plays a crucial role in multicenter prospective registries. By
maintaining high data accuracy, completeness, and consistency, researchers can improve …

With the rapid growth of customer data in financial institutions, such as trusts, issues of data
quality have become increasingly prominent. The main challenge lies in constructing an …

In the 19th century, Florence Nightingale pointed to the importance of nursing
documentation for the care of patients [1] and the necessity of data-based statistics for …

This research paper delves into the burgeoning field of Big Data analytics in healthcare,
proposing an innovative framework aimed at refining the organization and management of …