Prospective effects of artificial intelligence on burnout syndrome: reducing risks and enhancing psychological well-being
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| Názov: | Prospective effects of artificial intelligence on burnout syndrome: reducing risks and enhancing psychological well-being |
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| Autori: | Babiker, Marwan, Merisalu, Eda, Roja, Ženija, Kalkis, Henrijs |
| Zdroj: | Sigurnost, Vol 67, Iss 2, Pp 135-141 (2025) Sigurnost : časopis za sigurnost u radnoj i životnoj okolini CODEN SIGUAE Volume 67 Issue 2 |
| Informácie o vydavateľovi: | Zavod za Istrazivanje i Razvoj Sigurnosti, 2025. |
| Rok vydania: | 2025 |
| Predmety: | Social sciences (General), H1-99, umjetna inteligencija, tehnologija, STARA, sindrom izgaranja, zdravstvo, Industrial safety. Industrial accident prevention, T55-55.3, artificial intelligence, technology, STARA, burnout syndrome, healthcare |
| Popis: | Burnout is a major global issue in healthcare that have a negative influence on patient care and health quality. As predicted by researchers, robots, algorithms, smart technolo-gy, and artificial intelligence (STARA) account for one-third of all employment current-ly held by humans. Through creative solutions, artificial intelligence (AI) offers enor-mous possibilities to lessen the managerial and cognitive constraints that lead to burnout. A cross sectional study used MBI and STARA awareness to calculate prevalence of artificial intelligence and burnout syndrome and to determine whether the use of AI reduces or increases the impact of burnout syndrome risks on healthcare practitioners. The average mean rating for burnout dimensions had been as follows: 28.65 ±14.89 SD for Emotional Exhaustion (EE), 9.89 ± 6.83 SD for Depersonalization (DP), and 39.72 ± 8.71 SD for Personal accomplishment (PA). The highest mean of participants, agreement recorded for the item “I am personally worried about my future in my industry due to AI replacing employees” 1.36 + 1.06, the total mean was 1.22 + 0.13 at level Disagree. Increased STARA awareness had a positive association with burnout. Burnout is linked to signs of personal and professional burden and appears to be a prevalent issue among physicians. Suggestions for bettering working circumstances are made. Being aware of AI patterns of use and specific characteristics linked to burnout, however, is an essential step to reduce the impact of burnout and AI awareness. Further investigation is required to determine the causes and establish appropriate measures for intervention. |
| Druh dokumentu: | Article Conference object |
| Popis súboru: | application/pdf |
| ISSN: | 1848-6347 0350-6886 |
| DOI: | 10.31306/s.67.2.4 |
| Prístupové číslo: | edsair.doi.dedup.....3edf0e0150d965c06ccc30fe97a1a337 |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Burnout is a major global issue in healthcare that have a negative influence on patient care and health quality. As predicted by researchers, robots, algorithms, smart technolo-gy, and artificial intelligence (STARA) account for one-third of all employment current-ly held by humans. Through creative solutions, artificial intelligence (AI) offers enor-mous possibilities to lessen the managerial and cognitive constraints that lead to burnout. A cross sectional study used MBI and STARA awareness to calculate prevalence of artificial intelligence and burnout syndrome and to determine whether the use of AI reduces or increases the impact of burnout syndrome risks on healthcare practitioners. The average mean rating for burnout dimensions had been as follows: 28.65 ±14.89 SD for Emotional Exhaustion (EE), 9.89 ± 6.83 SD for Depersonalization (DP), and 39.72 ± 8.71 SD for Personal accomplishment (PA). The highest mean of participants, agreement recorded for the item “I am personally worried about my future in my industry due to AI replacing employees” 1.36 + 1.06, the total mean was 1.22 + 0.13 at level Disagree. Increased STARA awareness had a positive association with burnout. Burnout is linked to signs of personal and professional burden and appears to be a prevalent issue among physicians. Suggestions for bettering working circumstances are made. Being aware of AI patterns of use and specific characteristics linked to burnout, however, is an essential step to reduce the impact of burnout and AI awareness. Further investigation is required to determine the causes and establish appropriate measures for intervention. |
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| ISSN: | 18486347 03506886 |
| DOI: | 10.31306/s.67.2.4 |