A proposed payment rule unveiled Monday by CMS aims to reduce unnecessary spending and boost quality measures, as well as ...

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

Firms with strong data infrastructure are embracing AI for predictive modelling, anomaly detection, and decision support. As ...

AAPR has launched a nursing home dashboard that brings together clinical and operational measures from across three federal ...

A clear majority of economists polled by Reuters are concerned about the quality of official British economic data, the ...

Key Points There is no question that Total Quality Management requires significant metrics to track. The good news is ...

NITI Aayog pushes for robust data ecosystem, cites need for reliable metrics in governance, development The report suggested assigning custodians at different levels, including national, state ...

Indeed, some private economists worry the collection staff cutbacks are already hurting the quality of the data produced in the report. Concerns were raised by outside economists after the Trump ...

Data structuring techniques vary based on the type and purpose of the data. For example, relational databases store data in tables with rows and columns, making them ideal for structured data.

Proactive data quality indicator: The data quality indicator menu, accessed at the top of reports, acts as a proactive early warning system. It helps identify and resolve implementation errors.