Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

Large Language Models (LLMs) have demonstrated remarkable potential in solving complex tasks across diverse domains 1,2. The proliferation of LLMs, coupled with the interest in applying them in ...

As enterprises increasingly integrate AI across their operations, the stakes for selecting the right model have never been higher and many technology leaders lean heavily on standard industry ...

The evaluation science graduate certificates, offered 100% virtually, are intended to prepare students in program evaluation across the fields of human services, education, public policy, health and ...

As large language models (LLMs) become increasingly integrated into clinical decision-making, ensuring trustworthy reasoning is paramount. However, current evaluation strategies of LLMs’ medical ...

Program evaluation and trainee assessment are crucial to support successful training programs in the biomedical sciences. The updated NIGMS T32 funding mechanism identifies the critical role of ...

The master of science in evaluation science is a program intended to prepare students to contribute to human service, education, public policy, health, and other program and policy areas through ...

Distinguishing between simple program evaluation and human subjects research can sometimes be difficult. While the federal regulations use the term "evaluation" in their definition of research, most ...