The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

This is not the first time that this type of crowdsourcing has ultimately come about through release of federal data sets," ...

The effective participation in health information exchanges requires a focus on data governance, interoperability and ...

The culture and expectations surrounding health data privacy continue to lag behind those that define the financial system.

The European Health Data Space holds significant promise for transforming healthcare, research and innovation across Europe. The main objectives of the EHDS, which the European Commission launched in ...

To use artificial intelligence effectively, healthcare organizations need to foster a culture focused on data governance and ...

Several years ago, public health officials in West Virginia observed a troubling trend: Far too many pregnant women in their state, as compared to others, were smoking, jeopardizing their health and ...

With the evolving Affordable Care Act reforms and widespread digitization of healthcare data, payers are likely to make significant investments in analytics and business intelligence. Reporting of ...

As hospitals and health systems of all sizes seek to manage complex patient populations, identify savings opportunities, reduce operational inefficiencies and prepare for value-based care models, the ...

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 ...