Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly
contentious topic. AI-powered systems may be superior at certain analytical tasks, but their …

Objective 1) determine whether increased levels of Shared Decision-Making (SDM) affect
consultation duration, 2) investigate the intervention characteristics involved. Methods …

Background Explainability is one of the most heavily debated topics when it comes to the
application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have …

Care happens in interaction between the patient and the clinician, in conversation where the
patient and clinician uncover or develop a shared understanding of the problematic situation …

Objectives To assess whether consultants do what they say they do in reaching decisions
with their patients. Design Cross-sectional analysis of hospital outpatient encounters …

Shared decision making (SDM) has been advocated to improve patient care, patient
decision acceptance, patient-provider communication, patient motivation, adherence, and …

Aims In hospital settings, decisions about potentially life‐prolonging treatments are often
made in a dialogue between a patient and their physician, with a focus on active treatment …

Objective Concerns of increased time consumption and of the impact on clinical decisions
may restrain doctors from shared decision making (SDM). This paper evaluates consultation …

Background Therapeutic decision-making in oncology is a complex process because
physicians must consider many forms of medical data and protocols. Another challenge for …

Background Although shared decision-making (SDM) has knowledge and satisfaction
benefits for patients and is promising, we lack data demonstrating that SDM is associated …