Predicting hypoglycemia in ICU patients: a machine learning approach.

Background: The current study sets out to develop and validate a robust machine-learning model utilizing electronic health records (EHR) to forecast the risk of hypoglycemia among ICU patients in Jordan.

Research Design And Methods: The present study drew upon a substantial cohort of 13,567 patients admitted 26,248 times to the intensive care unit (ICU) over 10 years from July 2012 to July 2022. The primary outcome of interest was the occurrence of any hypoglycemic episode during the patient's ICU stay.

Factors Influencing Medication Administration Errors as Perceived by Nurses in Pediatric Units in a Jordanian Tertiary Hospital: A Qualitative Descriptive Study.

Background: The World Health Organization declared that medication errors are the third largest global patient safety challenge. The medication administration stage is a common and susceptible stage for medical errors to occur.

Objective: To explore the factors contributing to medication administration errors specifically in pediatric care units as perceived by nurses in a Jordanian hospital.