An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals.

Artificial intelligence (AI) in the domain of healthcare is increasing in prominence. Acceptance is an indispensable prerequisite for the widespread implementation of AI. The aim of this integrative review is to explore barriers and facilitators influencing healthcare professionals' acceptance of AI in the hospital setting. Forty-two articles met the inclusion criteria for this review. Pertinent elements to the study such as the type of AI, factors influencing acceptance, and the participants' profession were extracted from the included studies, and the studies were appraised for their quality. The data extraction and results were presented according to the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The included studies revealed a variety of facilitating and hindering factors for AI acceptance in the hospital setting. Clinical decision support systems (CDSS) were the AI form included in most studies (n = 21). Heterogeneous results with regard to the perceptions of the effects of AI on error occurrence, alert sensitivity and timely resources were reported. In contrast, fear of a loss of (professional) autonomy and difficulties in integrating AI into clinical workflows were unanimously reported to be hindering factors. On the other hand, training for the use of AI facilitated acceptance. Heterogeneous results may be explained by differences in the application and functioning of the different AI systems as well as inter-professional and interdisciplinary disparities. To conclude, in order to facilitate acceptance of AI among healthcare professionals it is advisable to integrate end-users in the early stages of AI development as well as to offer needs-adjusted training for the use of AI in healthcare and providing adequate infrastructure.

Telemedicine in medical education: An example of a digital preparatory course for the clinical traineeship - a pre-post comparison.

Introduction: Telemedicine is a significant component of healthcare in most disciplines, giving great importance to the education of young physicians in this field. However, the topic of telemedicine has not yet been implemented in medical schools' curricula. This paper makes an important contribution to closing this gap by designing, implementing and evaluating a course with telemedical components. Using the example of a clinical traineeship preparation course, we investigated the extent to which integrated telemedical modules can contribute to the subjective confidence of students with regard to knowledge and confidence in performing practical telemedical skills, such as doctor-patient communication, taking medical histories, and applying handover techniques. Project description: The course evaluation was descriptive. Subjective confidence in clinical telemedicine skills was assessed before and after completion of the course using an online questionnaire and calculated in a pre-post design using Wilcoxon's signed-rank test. Results: The course was rated "very good" (31%) and "good" (54.2%) by the vast majority of students. The results of the Wilcoxon test show significant increases in students' feelings of confidence in performing practical telemedicine skills for all items. Discussion: This study shows that telemedicine modules integrated in a digital preparatory course contribute positively to students' subjective confidence in terms of knowledge and confidence in performing practical telemedicine skills. Specifically, this paper illustrates that professional digital doctor-patient communication, digital documentation of a medical history, and handoff techniques can be learned through telemedicine course content. Conclusion: Telemedicine modules increase students' subjective confidence in performing practical telemedicine skills. Practical telemedicine course content can thus reduce uncertainty in the use of telemedicine and prepare future physicians for its use.

Crisis as a chance. A digital training of social competencies with simulated persons at the Medical Faculty of RWTH Aachen, due to the lack of attendance teaching in the SARS-Cov-2 pandemic.

Objective: The AIXTRA Competence Center for Training and Patient Safety at RWTH Aachen University has developed a concept to enable learning of communication skills with simulated persons (SP) digitally. Methodology: Existing SP cases in curricular teaching were checked for digital applicability and modified. Digital seminars with the methodology of simulated conversations with SP, for planned 690 students for the courses "history taking", 6th semester, conversations in psychiatry, 8th semester, and in the clinical competence course, 10th semester, were conducted via video conferencing software. The structure is similar to SP-seminars in classroom teaching with a case presentation, a doctor/patient dialogue and a feedback session. In the 6th and 10th semester, the seminars were evaluated anonymously by the students using an online questionnaire. SP were asked by e-mail for their assessment. The lecturers were asked about their experience with the digital seminars by means of qualitative interviews. Results: The survey of students with 92 completed questionnaires indicates a high level of acceptance. Digital teaching with SP was rated "very good" by 63% of the students and "good" by 37% as an overall mark for the course. The digital implementation is well practicable, the retention and accessibility of all learning goals is rated as given. Conclusion: Digital teaching with SP can be well realized with appropriate preparation. Specific aspects of digital implementation (e.g. role and data protection) must be taken into account. The differentiated evaluation of the surveys will bring further results and deductive questions.