AIMC Topic: Personnel, Hospital
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Gender Differences in Predicting Metabolic Syndrome Among Hospital Employees Using Machine Learning Models: A Population-Based Study.
The journal of nursing research : JNR
Apr 1, 2025
BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysregulation, including obesity, elevated blood glucose levels, dyslipidemia and hypertension. Using an approach to early prediction of MetS risk in hospit...
[Use of AI-based applications by hospital staff: task profiles and qualification requirements].
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Nov 30, 2023
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important for the future development of hospitals. To unlock the large potential of AI, job profiles of hospital staff members need to be further developed in the direction of AI and d...
Quality of working life from the perspective of different groups of professionals working in a maternity hospital.
Ciencia & saude coletiva
Jun 7, 2019
The relationship between people and work has a direct impact on quality of life and health. The objective of this article is to compare perceived levels of Quality of Working Life (QWL) across three different groups of professionals. Cross-sectional ...
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