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A corrigendum has been issued for an article published in Acta Paediatrica titled "Short-term neurological injury in newborn infants with overcooling in passive hypothermia and transferred to reference hospital in Colombia." The corrigendum addresses an error in Table 3, specifically regarding the use of symbols ">" and "<" in the group "Age of Onset of Hypothermia (hours)." The revised table rectifies the inaccuracies and ensures the precision of the findings. The online version of the article has been corrected accordingly. [Extracted from the article]

Purpose: Prescriptive and predictive analytics and artificial intelligence (AI) provide tools to analyze data with objectivity. In this paper, we provide an overview of how these techniques can improve nursing care, and we detail a quantitative model to afford managerial insights about care management in a Hospital in Colombia. Our main purpose is to provide tools to improve key performance indicators for the care management of inpatients which includes the nurse workload. Methods: The optimal nurse‐to‐patient assignment problem is addressed using analytics, lean health care, and AI. Also, we propose a new mathematical model to optimize the nurse‐to‐patient assignment decisions considering several variables about the patient state such as the Barthel index, their risks, the complexity of the care, and the mental state. Findings: Our results show that there are several processes inherent to compassionate nursing care that can be improved using technology. By using data analytics, we can also provide insights about the high variability of the care requirements and, by using models, find nurse‐to‐patient assignments that are nearly perfectly balanced. Conclusions: We illustrated this improvement with a pilot test that makes the equitable distribution of nursing workload the functionality of this strategy. The findings can be useful in highly complex hospitals in Latin America. Clinical Relevance: The proposed model presents an opportunity to make near perfectly balanced nurse‐to‐patient assignments according to the number of patients and their health conditions using technology. [ABSTRACT FROM AUTHOR]

Despite the wide literature describing the features of Guillain‐Barré syndrome (GBS) in different populations worldwide, Colombian data are very scarce. We aim to characterize patients with GBS in a general hospital setting in Colombia. We conducted a retrospective chart review of GBS cases managed at the Hospital Universitario Fundación Santa Fe de Bogotá, from 2011 to 2016. Twenty‐three patients were included. The most commonly reported symptoms were paresthesias (65%), pain (61%), proximal (22%) and distal (74%) limb weakness, and facial palsy (30%). 9% of patients had Fisher syndrome and 21% had other variants: Bickerstaff, pharyngeal‐cervical‐brachial pattern, and facial diplegia. There was a predominance of the demyelinating form (70%), with only 22% of patients presenting with the axonal variants. Our results are concordant with previous studies in Colombia. [ABSTRACT FROM AUTHOR]