On the way to the AI era: The view of health sciences faculty department students on AI and technological unemployment

As artificial intelligence-supported technologies begin to develop rapidly in the health sector, as in other fields, the concern that the need for professionals will decrease has brought about concerns about unemployment. This study aims to determine the health department students' perspective on artificial intelligence and their anxiety about technological unemployment. Artificial intelligence is developing today mainly in information technologies, and it is expected that professions that are application-based and require personalized interventions will be less affected. For this reason, four departments that are thought to be least and most affected by artificial intelligence development were taken. In this direction, the sample size was determined to be at least n=196 (each group n=49) with an effect size of 0.30, a margin of error of 0.05, a confidence level of 0.95, and a representative power of 0.95 universe, and the study was completed with n=206 participants. 86.89% of the participants (n=179) were female, and the age range was between 18 and 38. It was determined that the students studying in the department of exercise and sports sciences had the highest technological unemployment anxiety with 35.41, while the students studying in the department of midwifery had the lowest technological unemployment anxiety with 29.64. As a result of the study, it can be concluded that increasing anxiety about technological unemployment affects readiness for artificial intelligence. It is thought that providing students with information on how artificial intelligence can affect their professions and how this technology can be used, as well as practical courses such as artificial intelligence command language and robotics, will help reduce the anxiety of technology-related unemployment.

Authors

Institutions

Publication Details

Journal
Health Sciences Quarterly
Published
2025-04-26
DOI
https://doi.org/10.26900/hsq.2696
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the way to the AI era: The view of health sciences faculty department students on AI and technological unemployment

Feyza İnceoğlu, Seyhan Çıtlık Sarıtaş, Mehmet Koca
Health Sciences Quarterly
Healthcare Systems and Public Health
article

On the way to the AI era: The view of health sciences faculty department students on AI and technological unemployment

Feyza İnceoğlu, Seyhan Çıtlık Sarıtaş, Mehmet Koca
article en

Abstract

As artificial intelligence-supported technologies begin to develop rapidly in the health sector, as in other fields, the concern that the need for professionals will decrease has brought about concerns about unemployment. This study aims to determine the health department students' perspective on artificial intelligence and their anxiety about technological unemployment. Artificial intelligence is developing today mainly in information technologies, and it is expected that professions that are application-based and require personalized interventions will be less affected. For this reason, four departments that are thought to be least and most affected by artificial intelligence development were taken. In this direction, the sample size was determined to be at least n=196 (each group n=49) with an effect size of 0.30, a margin of error of 0.05, a confidence level of 0.95, and a representative power of 0.95 universe, and the study was completed with n=206 participants. 86.89% of the participants (n=179) were female, and the age range was between 18 and 38. It was determined that the students studying in the department of exercise and sports sciences had the highest technological unemployment anxiety with 35.41, while the students studying in the department of midwifery had the lowest technological unemployment anxiety with 29.64. As a result of the study, it can be concluded that increasing anxiety about technological unemployment affects readiness for artificial intelligence. It is thought that providing students with information on how artificial intelligence can affect their professions and how this technology can be used, as well as practical courses such as artificial intelligence command language and robotics, will help reduce the anxiety of technology-related unemployment.

Health Sciences QuarterlyVol. 5(2)
Malatya Turgut Özal Üniversitesi (TR), Turgut Özal University (TR)
Openalex Percentile: Top 87%
Healthcare Systems and Public Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.