Defense

This dissertation aimed to build a multi-channel prediction model for clinical ulcer infections in adult patients in hospitals using machine learning and artificial intelligence technology. The study included 45,990 samples, and the sample data included more than one million nine hundred thousand entries. It is the first study of its kind in the Middle East. The study succeeded in producing a scientific and practical model that can be used, which contributes to improving the quality of nursing services and patient safety.

This descriptive study was conducted in neonatal intensive care units in all hospitals in the southern West Bank, namely Hebron Governmental Hospital, Al-Ahli Hospital, Al-Mizan Hospital, Red Crescent Specialized Hospital for Children, Yatta Governmental Hospital, Caritas Hospital, Saint Joseph Hospital (French), and Beit Jala Governmental Hospital. The sample included all male and female nurses working in the intensive care units in hospitals in the southern West Bank.

This research examined the extent to which work stress affects patient safety culture in Palestinian hospitals, with the aim of improving health care outcomes and supporting health care workers. The study used a mixed and sequential interpretive approach, where the researcher collected data through self-filled questionnaires.