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.

Background Technology reduces the nursing workload, improve the quality care processes, patient’s safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. The aim was to analyze the influence of technologies on the distribution of workload for nursing care management. Methods An integrative literature review was performed. Four databases were searched: Scopus, Scielo, PUBMED, and CINALH following PRISMA guidelines. Articles published from January 2016 to December 2020, published in English, Spanish and Portuguese were included. Studies were excluded when they were not original research, did not met the quality criteria or they did not answer the research questions. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria. Results 2818 potentially relevant articles were found, but once the inclusion and exclusion criteria in the abstracts were analyzed, 177 remained for evaluation. After following the PRISMA Guidelines, 35 studies were included in the review. Three categories were identified: Nursing workload; Information technologies and technological means for management; Technology acceptance. Conclusions Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.

Body and Corporality in adolescents and young adults with spinal cord injury

Background: Older people are at risk of malnutrition, especially when they suffer from cognitive impairment. Guidelines that orient nursing care in this regard need to be updated. The aim of this review is to address the best available evidence on interventions that can benefit nutritional nursing care for institutionalized older adults with dementia. Methods: Integrative review using the Dimensions and Eureka search engines, and the PubMed, Embase, Scielo, CINAHL, and ScienceDirect databases. We searched from the year 2015 through to 2021. We employed the MMAT guidelines for mixed, qualitative, and quantitative studies, and the PRISMA, CASP, and JBI guidelines to value the reviews. Results: A total of 55 studies met the inclusion criteria. The best available evidence to support nutritional nursing care for institutionalized older adults with dementia highlights several aspects related to the assessment and caring interventions that are focused on people with dementia, their caregivers, and their context. Conclusions: Both the assessment and nutritional care interventions for older people with dementia should consider the patient–caregiver dyad as the subject of care and understand the context as a fundamental part of it. The analysis of the context should look further than the immediate environment.

Objective. This work sought to describe the adaptation process by men to the nurse role. Methods. Secondary analysis of data from a collective case study that had as participants 12 male nurses working in the city of Medellín, with ages between 28 and 47 years and average time of professional experience of 11 years. Information collection was carried out through in-depth interviews. The analysis was conducted through Roy’s Adaptation Model (RAM), reading of the interviews, identification of RAM’s components, grouping of fragments, assignment of tags, construction of a matrix and classification. Results. The analysis performed accounts for the coping processes and adaptation by male nurses and the ineffective responses (control of emotions and emotional silencing) when practicing a role considered feminine. Conclusion. In this study, it was possible to establish that, to achieve adaptation within nursing, men use strategies related with changes in bodily appearance, management of physical strength, and management of emotions.

Background/Objective: Although the context, personal conditions, and caregivers’ abilities influence the nutrition of older people with dementia, adequate parameters are not always applied to identify these conditions. The aim of this study was to characterize the nutritional care needs of older people with dementia and their caregivers. Method: This descriptive exploratory study was conducted in Colombia. An intentional sample included 73 elderly individuals with dementia and 73 caregivers. This study described the participants’ characteristics with the GCPC-UN-D survey. Their nutritional conditions include medical history, objective tests, and interviews. We used the Edinburgh Scale to evaluate elderly feeding behavior and the QUALID tool to evaluate their quality of life. This study measured caregiver competence using the CUIDAR tool. Results: Adults of 78.8 years on average, with low to middle socio-economic status, low education levels, and multiple comorbidities, have adverse well-being and support conditions, except for the spiritual component. These adults have visible nutritional issues including low muscle mass indices (47.9%), muscle mass levels (arm 61.6%; calf 58.9%), and vitamin D levels (50.7%), with high cholesterol levels (57.9%) and altered hematocrit and red blood cell counts (46.4%). These adults required supervision (41%) or help (23%) for their nutrition. Caregivers were predominantly women with an average age of 32.4 years, with moderate caregiving competences (70.43%), experienced high caregiver burden (83.6%), and had low orientation in nutritional management (30.1%). Conclusions: Elderly individuals with dementia had significant nutritional and feeding problems. Their caregivers lacked adequate conditions to ensure quality care. These dyads need a strategy to improve their healthcare experience.