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

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

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

EHAB appears substantially undervalued, taking into account the company's cash flow and positive net income. This implies higher stock price valuations ...

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.

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

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 ...

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 ...

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.

The Knowledge Graph Market involves technologies and services that organize, connect, and analyze data into structured graphs, enhancing AI, search, and decision-making.United States, New York, Feb.