A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

Secur-e-Health demonstrates how PETs securely combine healthcare data for better risk predictions. Now available: the PET ...

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium ...

Doing more with less has become a new normal in healthcare, driven by industry-wide workforce reductions and budget cuts. This pressure is only amplified as health infrastructure faces mounting stress ...

When patients are prescribed complex therapies — like specialty drugs, cell and gene treatments, or high-cost biologics — the path to treatment is rarely straightforward. Filling a prescription can ...

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 ...