But even as interest grows, some hospitals balk at the challenges privacy and compliance regulations impose on patient data. For example, in a Society of Actuaries survey released in June, 93 percent ...

Data mining and decision support systems are increasingly integral to modern healthcare, enabling the extraction of clinically relevant insights from vast and diverse datasets. Advanced computational ...

Insights gleaned though data-mining and machine-learning give hospitals the ability to draw upon exponentially greater information points that feed data-driven predictions of charging anomalies. Stacy ...

Challenges with data quality and data governance have plagued healthcare analytics efforts for decades – and the stakes are only getting higher in the age of AI. Inaccurate or inconsistent data ...

At a time when 37% of hospitals are losing money, the pressure is on to find innovative ways to drive profitability. For many hospitals pursuing growth and innovation, patient engagement—which is ...

In a market where case volumes are down, ASCs have focused on reducing costs and increased recruitment to keep margins steady. However, using data collected through your billing and collections ...

In the past decade, healthcare data has become one of the most sought-after targets in cybercrime. From insurers to clinics, every player in the ecosystem handles some form of sensitive information.