Along with potential benefits to healthcare delivery, machine learning healthcare
applications (ML-HCAs) raise a number of ethical concerns. Ethical evaluations of ML-HCAs …

Organizational leaders face environmental challenges and pressures that put them under
ethical risk. Navigating this ethical risk is demanding given the dynamics of contemporary …

Objective Identifying ethical concerns with ML applications to healthcare (ML-HCA) before
problems arise is now a stated goal of ML design oversight groups and regulatory agencies …

The relationship between mental models and ethical decision making (EDM), along with the
mechanisms through which mental models affect EDM, are not well understood. Using the …

Although education in the responsible conduct of research is considered necessary,
evidence bearing on the effectiveness of these programs in improving research ethics has …

Case-based learning has been used across multiple disciplines, including ethics education,
as an effective instructional tool. However, the value of case-based learning in ethics …

Although case-based training is popular for ethics education, little is known about how
specific case content influences training effectiveness. Therefore, the effects of (a) codes of …

In this paper, we report on the development and validity of the Professional Decision-Making
in Research (PDR) measure, a vignette-based test that examines decision-making …

Introduction: Due to the stressful nature of prehospital emergency providers' duties, as well
as difficulties such as distance to information resources and insufficient time to analyze …

ABSTRACT Sensory Processing Sensitivity (SPS) is an individual difference that affects
people's thinking and behavior. People who are high in SPS, Highly Sensitive People …