The UK government backs voluntary AI testing and transparency over hard bans, rejecting a kill switch as Parliament pushes ...

Implementation fidelity and take-up are rarely measured or reported. This leaves important questions unanswered, such as how ...

Research continues to improve knowledge and understanding, but translating this research into clinical practice remains a ...

OpenEvidence released a new family of medical AI search models on September 3, 2026, making three production models available ...

Learn how health systems can build scalable APP models by integrating governance, workforce design, and clinical deployment for optimal value.

Financial crime compliance is moving permanently beyond the checklist. The next generation of AML programmes will not be judged by the number of scenarios they maintain or the size of their alert ...

In September 2025, I published a two-part article, “Challenging Marxism and Identity Politics” (see Scipes, 2025a, b). This article not only challenged these theoretical approaches, but it presented a ...

Objectives Probability or risk outcome estimates tailored to individual patient characteristics can facilitate more personalised care, for example, regarding treatment. Yet, the uptake of prediction ...

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Across the country, nurse leaders are rethinking how care is delivered and what it means to lead through transformation. The past few years have shown us that traditional nursing models — which were ...

At CenterWell, early data shows 20% fewer avoidable heart failure hospitalizations, 15% fewer admissions and 20% lower total cost of care. As the U.S. health system continues to grapple with rising ...

ABSTRACT: Objective: To investigate the evidence-based competencies of clinical nurses at a tertiary-level hospital in Wuhan and their influencing factors, providing a reliable theoretical basis for ...