Carnegie Mellon University experts are turning that data into insight, using statistics and data science to help professional teams gain a competitive edge.

Analysis of January 2026 Transparency in Coverage data across United Healthcare, Aetna and Cigna found that median negotiated rates for CPT 99213 were approximately 33% higher in the 1,000-2,999 ...

HITRUST i1 certification of its enterprise infrastructure further demonstrates the company's commitment to security and ...

Conclusions: Prevalence of obesity is increasing, and use of GLP-1 RAs as the preferred antiobesity medication has increased ...

Objectives Fatigue is one of the most common and debilitating symptoms experienced by patients with systemic lupus erythematosus (SLE). Previous studies revealed the association of fatigue with ...

Now in his final quarter of the MPH program, Varun Awasthi has much to reflect on as he prepares for graduation in June 2026.

Chartis Research has named SAS a category leader in the Chartis RiskTech Quadrant(R) for AI Governance Solutions. Among the 28 vendors it examined in the quadrant -- part of a larger assessment of the ...

AI data centers can operate without using peak power continuously, according to the results of a UK trial, a finding that could have implications for electricity systems worldwide. Grids from the US ...

BOTETOURT COUNTY, Va. (WDBJ) - The Western Virginia Water Authority this week released records detailing Google’s projected water use at a planned data center in Botetourt County, following a ...

Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...

This analysis of more than 250,000 adults at least 50 years old with chronic conditions showed lower portal use among older, non–English-speaking, and Black patients, underscoring digital health ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...