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

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

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 ...

Better decision-making and more efficient claim handling are two outcomes of the revolution taking place in workers’ ...

New York, United States, Jan. 20, 2025 (GLOBE NEWSWIRE) -- Healthcare predictive analytics is a subset of advanced statistical techniques and data analytics applied in the healthcare industry.

Patients who fail to show up for scheduled appointments have long been a costly problem for health care providers. Data has shown that missed appointments cost the U.S. health care system more ...

As a health care IT specialist, Vedamurthy Yogeshappa uses Artificial Intelligence (AI) to streamline patient data management, enhance clinical decision-making and solve critical industry challenges.

Gary Drenik is a writer covering AI, analytics and innovation. It's easy to see why predictive analytics ... For example, when it comes to healthcare matters, Prosper's data shows that Boomers ...

Visualize and Present Data: Collect and mine data and extrapolate it into easily understood charts or graphs. Effectively convey complex information to non-technical professionals. Model Scenarios: ...