Einleitung

Kossen, Jannik; Kuruc, Fabrizio; Müller, Maike Elisa

doi:10.1007/978-3-658-26763-6_1

Cited by 1 publication

(4 citation statements)

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“…The exact definition of AI is still discussed [ 19 , 20 ]. In practice, the term is used as an umbrella term for all situations in which a system or machine makes a decision that requires some kind of intelligence .…”

Section: Introductionmentioning

confidence: 99%

“…In practice, the term is used as an umbrella term for all situations in which a system or machine makes a decision that requires some kind of intelligence . As vague as this definition may be, it also seems to be closely linked to the period it was used in [ 19 , 20 ]. Just a few years ago, even navigation systems and devices were considered AI.…”

Section: Introductionmentioning

confidence: 99%

“…Alternative definitions of AI often comprise the requirement that an intelligent system has to interact with its corresponding environment. Thus, the system has to be able to gather information about its periphery, act upon the gathered information, learn from it, and derive appropriate behavior from it [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…How these programs and machines learn from data is predetermined, directing them toward a desired direction. As such, ML is a popular method of establishing a system that incorporates AI [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review

Stamer¹,

Steinhäuser²,

Flägel³

2023

J Med Internet Res

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Background Communication is a crucial element of every health care profession, rendering communication skills training in all health care professions as being of great importance. Technological advances such as artificial intelligence (AI) and particularly machine learning (ML) may support this cause: it may provide students with an opportunity for easily accessible and readily available communication training. Objective This scoping review aimed to summarize the status quo regarding the use of AI or ML in the acquisition of communication skills in academic health care professions. Methods We conducted a comprehensive literature search across the PubMed, Scopus, Cochrane Library, Web of Science Core Collection, and CINAHL databases to identify articles that covered the use of AI or ML in communication skills training of undergraduate students pursuing health care profession education. Using an inductive approach, the included studies were organized into distinct categories. The specific characteristics of the studies, methods and techniques used by AI or ML applications, and main outcomes of the studies were evaluated. Furthermore, supporting and hindering factors in the use of AI and ML for communication skills training of health care professionals were outlined. Results The titles and abstracts of 385 studies were identified, of which 29 (7.5%) underwent full-text review. Of the 29 studies, based on the inclusion and exclusion criteria, 12 (3.1%) were included. The studies were organized into 3 distinct categories: studies using AI and ML for text analysis and information extraction, studies using AI and ML and virtual reality, and studies using AI and ML and the simulation of virtual patients, each within the academic training of the communication skills of health care professionals. Within these thematic domains, AI was also used for the provision of feedback. The motivation of the involved agents played a major role in the implementation process. Reported barriers to the use of AI and ML in communication skills training revolved around the lack of authenticity and limited natural flow of language exhibited by the AI- and ML-based virtual patient systems. Furthermore, the use of educational AI- and ML-based systems in communication skills training for health care professionals is currently limited to only a few cases, topics, and clinical domains. Conclusions The use of AI and ML in communication skills training for health care professionals is clearly a growing and promising field with a potential to render training more cost-effective and less time-consuming. Furthermore, it may serve learners as an individualized and readily available exercise method. However, in most cases, the outlined applications and technical solutions are limited in terms of access, possible scenarios, the natural flow of a conversation, and authenticity. These issues still stand in the way of any widespread implementation ambitions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%