Developing a competency model for telerehabilitation therapists and patients: Results of a cross-sectional online survey.

Telerehabilitation is a new form of care that provides digital access to rehabilitative services. However, it places many demands on the users-both patients and therapists. The aim of this study was to determine the requirements and competencies needed for successful usage, identify person- and context-specific differences and develop a competency model.

Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation.

Background: Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial resistance. Artificial intelligence-based decision support systems represent a potential solution for improving antimicrobial prescribing and containing antimicrobial resistance by supporting clinical decision-making thus optimizing antibiotic use and improving patient outcomes.

Objective: The aim of this research was to examine implementation factors of artificial intelligence-based decision support systems for antibiotic prescription in hospitals from the perspective of the hospital managers, who have decision-making authority for the organization.

Competencies required by patients and health professionals regarding telerehabilitation: A scoping review.

Background: Telerehabilitation offers patients alternative access to therapy and has become more prominent during the COVID-19 pandemic. Despite the increasing attractiveness of such programs, there are research gaps regarding the required competencies in the demand-oriented technology use in rehabilitative care.

Objective: The study aims at collecting evidence on competencies required by patients and health professionals for using telerehabilitation.