Artificial intelligence (AI) is progressively being utilized in the healthcare sector to enhance efficiency, alleviate administrative burdens, and improve patient care outcomes. In the secondary healthcare sector, AI presents a range of opportunities as well as challenges. This study investigates the viewpoints of healthcare professionals regarding the adoption of AI in Greece, emphasizing the anticipated advantages and apprehensions associated with its integration. A cross-sectional descriptive study was carried out to collect responses from healthcare professionals at the General Hospital of “Evangelismos”, which is the largest hospital in Athens, Greece. A questionnaire was utilized and distributed over a period of four months, involving 513 registered healthcare professionals (comprising 136 physicians, 235 nursing staff, and 142 other healthcare personnel). Each participant had a minimum of one year of clinical experience and was selected using a convenience sampling method. The questionnaire comprised two parts: one focused on evaluating the AI knowledge and attitudes of healthcare professionals, and the other collected demographic data. The overall comprehension of knowledge pertaining to AI among healthcare professionals was evaluated as moderate, resulting in a mean score of 3.39. A distinction exists among different personnel categories, with physicians (M = 3.73) demonstrating a greater understanding of AI and a firm conviction that AI cannot supplant human positions. Conversely, nursing personnel appear to express apprehension regarding the implications of AI on the human experience, with a notable concern about potential replacement and job loss (M = 2.63), which was identified as the lowest-ranked issue. This latter concern is also echoed by other healthcare personnel (M = 2.90). Nevertheless, the majority of participants regard the prospective use of AI favorably, demonstrate confidence in its application, and contend that the benefits outweigh the possible risks. Sufficient training and ongoing updates would enhance employees’ comprehension of AI and their awareness of its potential benefits within the healthcare sector.
Building similarity graph...
Analyzing shared references across papers
Loading...
Dimitris Karaferis
Dimitra Balaska
Maria Eleni Karaferi
Hygiene
National and Kapodistrian University of Athens
University of Piraeus
Building similarity graph...
Analyzing shared references across papers
Loading...
Karaferis et al. (Wed,) studied this question.
www.synapsesocial.com/papers/68de68e583cbc991d0a2113d — DOI: https://doi.org/10.3390/hygiene5040044