Artificial intelligence (AI) provides ample opportunities for enabling effective knowledge
sharing among organizations seeking to foster open innovation. Past research often …

Objectives This review study was aimed to identify and document organizational,
professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) …

Clinicians spend a large amount of time on clinical documentation of patient encounters,
often impacting quality of care and clinician satisfaction, and causing physician burnout …

As new forms of data capture emerge to power new AI applications, questions abound about
the ethical implications of these data collection practices. In this paper, we present clinicians' …

Objective To identify the extent to which administrative tasks carried out by primary care staff
in general practice could be automated. Design A mixed-method design including …

Recently, digital scribe systems have been gaining popularity as a possible work-around
solution to the Electronic Medical Record (EMR) documentation burden that affects many …

Automatically integrating data within interactive clinical checklists allows for enhanced
dynamic displays, while also providing information needed for checklist adaptation to the …

When we invoke the “future of work,” to whose work do we refer? This paper considers
everyday work practices through which contemporary artificial intelligence (AI) and machine …

Methods: Using a mixed-methods, pre-/postdesign, this evaluation measured the impact of
an asynchronous virtual scribe program on physician burnout. Physicians were given the …

The progressive dissemination of artificial intelligence (AI) systems in work settings raises
numerous questions and concerns regarding their consequences, whether positive or …