One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...

Ibironke Adegoke Ibironke Adegoke The future of data analytics is not some distant, abstract idea; it is now here, manifested in the decisions we make, the tools we create, and the systems we design.

But few leaders understand the potential of Business Intelligence and Analytics (BI&A), deep learning, and predictive analytics as engines ... student exercises will focus on the following areas: ...

Technical leadership, predictive analytics, and personalized medicine can improve patient care. Here's what leaders in ...

As businesses move toward an AI-powered, real-time and compliance-driven future, the right analytics approach—whether ...

The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in ...

Few sectors are as operationally labyrinthine as healthcare. Yet these experiences reveal three guiding principles that are ...

Artificial intelligence is no longer just a buzzword in the healthcare supply chain; it’s a transformative force.

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder ...

In a rapidly evolving digital landscape, the healthcare industry is experiencing a seismic shift, driven by the integration of cutting-edge technologies. These advancements are unlocking unprecedented ...