Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise, creating a distributed cognitive system composed of the human brain, which remains relatively unchanged, and AI-based knowledge and cognitive functions, which have accelerated exponentially in scale and power. Education must focus on developing skills to collaborate with AI and on achieving outcomes like problems solved and discoveries made. Curriculum and education policies also need to adapt to this transformation.
View Article and Find Full Text PDFBackground: Extended reality (XR) interventions have the potential to benefit patients undergoing elective cardiac surgical and interventional procedures. However, there are no systematic reviews with meta-analyses to guide clinical care.
Aim: To critically evaluate the evidence on the effectiveness of XR interventions on patient anxiety and pain and other associated outcomes.
Background: With the increasing adoption of digital health, health informatics and information management (HIIM) professionals are more essential than ever before. This paper explores the difficulties encountered when trying to classify and track the HIIM workforce internationally.
Methods: A historic document analysis method to explore how the International Standard of Classifications (ISCO) and the available national standards from countries using an alternative classification represent the HIIM workforce.
Introduction: We developed a mobile phone logbook application called LogMyScan. The study objectives were to evaluate a number of domains as per the technology acceptance model.
Methods: A prospective pilot cohort study was conducted using a version of LogMyScan and reported according to Statement on Reporting of Evaluation studies in Health Informatics.