OBJECTIVE: Our article demonstrates the effectiveness of using a validated framework to create a ChatGPT prompt that generates valid nursing care plan suggestions for one hypothetical older patient with lung cancer.
METHODS: This study describes the methodology for creating ChatGPT prompts that generate consistent care plan suggestions and its application for a lung cancer case scenario. After entering a nursing assessment of the patient\'s condition into ChatGPT, we asked it to generate care plan suggestions. Subsequently, we assessed the quality of the care plans produced by ChatGPT.
RESULTS: While not all the suggested care plan terms (11 out of 16) utilized standardized nursing terminology, the ChatGPT-generated care plan closely matched the gold standard in scope and nature, correctly prioritizing oxygenation and ventilation needs.
CONCLUSIONS: Using a validated framework prompt to generate nursing care plan suggestions with ChatGPT demonstrates its potential value as a decision support tool for optimizing cancer care documentation.

OBJECTIVE: To build a specialized nursing terminology for the care of people with respiratory diseases and Covid-19 or who have respiratory diseases after Covid-19, based on ICNP®.
METHODS: Methodological study developed in two stages: (1) identification of the relevant concepts for the health priority chosen from the literature; (2) cross-mapping of the identified concepts with the concepts contained in ICNP® version 2019/2020.
RESULTS: 9460 terms were extracted from the literature, of which 4065 terms were excluded because they were not related to the object of study and 5395 were submitted to the mapping technique, resulting in 290 constant terms in the ICNP® and 5134 non-constant terms. The constant terms were classified into the following axes: 120 in the Focus axis, 13 in Judgment, 48 in Action, 23 in Location, 38 in Means, eight in Time and one in Client. In addition, 36 nursing diagnoses/outcomes and three nursing interventions were mapped.
CONCLUSIONS: The terminology will support the quality of care provided by the nursing team and the manual and electronic recording of patient data.

OBJECTIVE: This study aims to facilitate the creation of quality standardized nursing statements in South Korea\'s hospitals using algorithmic generation based on the International Classifications of Nursing Practice (ICNP) and evaluation through Large Language Models.
METHODS: We algorithmically generated 15 972 statements related to acute respiratory care using 117 concepts and concept composition models of ICNP. Human reviewers, Generative Pre-trained Transformers 4.0 (GPT-4.0), and Bio_Clinical Bidirectional Encoder Representations from Transformers (BERT) evaluated the generated statements for validity. The evaluation by GPT-4.0 and Bio_ClinicalBERT was conducted with and without contextual information and training.
RESULTS: Of the generated statements, 2207 were deemed valid by expert reviewers. GPT-4.0 showed a zero-shot  AUC of 0.857, which aggravated with contextual information. Bio_ClinicalBERT, after training, significantly improved, reaching an AUC of 0.998.
CONCLUSIONS: Bio_ClinicalBERT effectively validates auto-generated nursing statements, offering a promising solution to enhance and streamline healthcare documentation processes.

UNASSIGNED: The aim of this review was to identify reported nursing-sensitive outcomes in the Emergency Department to date.
UNASSIGNED: An Umbrella review was conducted. Four databases, CINAHL, Pubmed, Web of Science and Scopus, were searched from inception until October 2022. MeSH terms were: \"nursing\", \"sensitivity and specificity\", \"emergency service, hospital\", \"nursing care\". Two reviewers independently screened studies against the inclusion criteria for eligibility, extracted data and assessed study quality with the SIGN tool. Results of the included studies were summarized and described in themes for narrative analysis. The study was enrolled in the PROSPERO registry (CRD42022376941) and PRISMA guidelines were followed.
UNASSIGNED: The search strategy yielded 2289 records. After duplicate removal, title, abstract and full-text eligibility screening, nine systematic reviews were included in the review. A total of 35 nursing-sensitive outcomes were reported. The most described outcomes were waiting times, patient satisfaction and time to treatment. The less measured were mortality, left without being seen and physical function. Synthesizing nursing-sensitive outcomes in themes for reporting, the most measured outcomes were within the safety domain (n=20), followed by the clinical (n=9), perceptual (n=5) and the least explored functional domain (n=1).
UNASSIGNED: Nursing sensitive outcomes research in emergency nursing practice is a conceptual challenge still in its early stage. Several nursing-sensitive outcomes were identified in this review that can evaluate the contribution of emergency department nursing care to patient outcomes. Further research is required to explore patient outcomes sensitive to emergency nursing care.

To identify and analyze the nursing diagnoses listed in the medical records of COVID-19 patients admitted to an intensive care unit using Taxonomy II of NANDA-I. Background: COVID-19 is a complex disease with heterogeneous behaviors, and the role of intensive care nurses in accurately identifying related signs and symptoms has become even more critical during the pandemic. Nurses rely on classification systems or taxonomies to standardize concepts and language in practice. Method: This quantitative study employed a descriptive and individual approach, utilizing the cross-mapping method. Data were collected from 57 medical records of critical care patients in a hospital in northeastern Brazil between July 2020 and March 2021. Three researchers analyzed the mapped diagnoses, and agreement was assessed using the Content Validation Index and Fleiss\' Kappa. Results: Among the listed nursing diagnoses, 54.28% were found to be standardized, 45.71% had corresponding nursing diagnoses, and 5.71% did not have an equivalent diagnosis in the reference taxonomy used in the study. Due to the possibility of multiple nursing diagnoses in the same patient, the most frequent diagnoses were Risk of pressure injury in adults (66.66%), Risk of falls in adults (64.91%), and Risk of infection (45.61%). Among the 37 diagnoses mapped, the risk diagnoses were the most prevalent and could be prevented if identified early. Conclusions: The study highlights the importance of standardized nursing diagnoses in the ICU for COVID-19 patients and the need for accurate identification and prevention of risk diagnoses to enhance patient care and improve outcomes.

UNASSIGNED: European Nursing care Pathways (ENP) is a professional care language that utilizes software to map care processes and utilize the data for research purposes, process control, and personnel requirement calculations. However, there is a lack of internationally developed terminology systems and subset specifically designed for the nutritional management of CKD. The aim of this study was to create a subset of the standardized nursing terminology for nutrition management in patients with chronic kidney disease (CKD).
UNASSIGNED: According to the guidelines for subset development, four research steps were carried out: (i) Translation of version 3.2 of the ENP (chapter on kidney diseases) and understanding of the framework structure and coding rules of the ENP; (ii) Identification of relevant six-dimensional nursing terms; (iii) Creation of a framework for the subset; (iv) Review and validation by experts.
UNASSIGNED: A subset for CKD nutritional care was created as part of this project, comprising 630 terms, with 17 causal relationships related to nursing diagnoses, 115 symptoms, 31 causes, 34 goals/outcomes, 420 intervention specifications and 13 resources, including newly developed care terms. All terms within the subset have been created using a six-step maintenance procedure and a clinical standard pathway for nutrition management in the SAPIM mode.
UNASSIGNED: This terminology subset can facilitate standardized care reports in CKD nutrition management, which is used to standardize nursing practice, quantify nursing, services, guidance on care decisions, promoting the exchange and use of CKD nutrition data and serve as a reference for the creation of standardized subset of nursing terminology in China.

OBJECTIVE: To clinically validate a terminological subset of the International Classification for Nursing Practice (ICNP®) to care for people with chronic kidney disease undergoing conservative treatment.
METHODS: Prospective study of clinical validation assessment of 117 nursing diagnoses/outcomes statements and 199 nursing intervention statements. It was operationalized through the following steps: implementation of the Nursing Process in an outpatient clinic in Southeast Brazil; preparation of case studies; analysis of agreement between specialist nurses. The Kappa. Kruskal-Wallis coefficient of agreement and intraclass correlation coefficient (ICC) were used.
RESULTS: The sample consisted of 50 people with chronic kidney disease. Diagnoses/outcomes and interventions were evaluated with almost perfect/perfect agreement and excellent ICC. The Kruskal-Wallis test showed that there was no significant difference between the assessments. The study allowed the clinical validation of a subset with 110 nursing diagnoses/outcomes and 195 nursing interventions.
CONCLUSIONS: Care for people with chronic kidney disease undergoing conservative treatment based on the proposed subset has become applicable to clinical practice.

OBJECTIVE: Build and validate a terminological subset of ICNP® for the prevention of falls in the elderly in the context of primary health care, in light of the Self-Care Deficit Theory.
METHODS: Methodological study developed in accordance with ICN recommendations and the Brazilian method for constructing terminological subsets, in two stages: 1) construction of ICNP® statements of nursing diagnoses, outcomes, and interventions; 2) content validation of statements by specialist nurses.
RESULTS: A total of 182 diagnoses/outcomes and 321 nursing interventions were constructed, which were subjected to content validation by 28 experts, being validated with a Content Validity Index ≥ 0.80. After validation, the statements were organized according to self-care requirements and the majority of diagnoses/outcomes (51.6%) and interventions (52.7%) were classified under health deviation requirements.
CONCLUSIONS: It was possible to construct and validate a terminological subset of ICNP® with a predominance of statements related to health deviation requirements, standing out for being the first terminological subset for the prevention of falls in the elderly in the context of primary care.

BACKGROUND: Care plans documented by nurses in electronic health records (EHR) are a rich source of data to generate knowledge and measure the impact of nursing care. Unfortunately, there is a lack of integration of these data in clinical data research networks (CDRN) data trusts, due in large part to nursing care being documented with local vocabulary, resulting in non-standardized data. The absence of high-quality nursing care plan data in data trusts limits the investigation of interdisciplinary care aimed at improving patient outcomes.
OBJECTIVE: To map local nursing care plan terms for patients\' problems and goals in the EHR of one large health system to the standardized nursing terminologies (SNTs), NANDA International (NANDA-I), and Nursing Outcomes Classification (NOC).
METHODS: We extracted local problems and goals used by nurses to document care plans from two hospitals. After removing duplicates, the terms were independently mapped to NANDA-I and NOC by five mappers. Four nurses who regularly use the local vocabulary validated the mapping.
RESULTS: 83% of local problem terms were mapped to NANDA-I labels and 93% of local goal terms were mapped to NOC labels. The nurses agreed with 95% of the mapping. Local terms not mapped to labels were mapped to the domains or classes of the respective terminologies.
CONCLUSIONS: Mapping local vocabularies used by nurses in EHRs to SNTs is a foundational step to making interoperable nursing data available for research and other secondary purposes in large data trusts. This study is the first phase of a larger project building, for the first time, a pipeline to standardize, harmonize, and integrate nursing care plan data from multiple Florida hospitals into the statewide CDRN OneFlorida+ Clinical Research Network data trust.

UNASSIGNED: Patient education is an independent role of nurses performed in nurse-led clinics (NLCs). The measurement of patient education outcomes validates whether nursing educational interventions have a positive effect on patients, which helps determine whether changes in care are needed. Standardized nursing terminologies facilitate the evaluation of educational outcomes. We aimed to explore the outcomes of patient education in NLCs based on the Nursing Outcome Classification (NOC) system.
UNASSIGNED: The review was conducted according to PRISMA guidelines. We searched \"Medline\", \"Embase\", \"Web of Science\", and \"Scopus\" databases for articles published between 2000 and 2022. Based on the search strategy, 1157 articles were retrieved from PubMed, Scopus, Web of Science, and Embase databases. After excluding the duplicates, 978 articles were appraised. 133 articles remained after reading the titles and abstracts of the articles. In the next step, the articles were evaluated regarding methodology, research population, and exclusion criteria, after which 112 articles were omitted, and finally, 21 articles were included in the full-text review. We assessed all included studies using the Quality Assessment of Controlled Intervention Studies checklist.
UNASSIGNED: A total of 21 randomized controlled trials met the inclusion criteria. \"Physiologic health\", \"functional health\", \"psychosocial health\", \"health knowledge and behavior\", and \"perceived health\" were the domains of nursing outcomes investigated as Patient Education Outcomes in NLCs.
UNASSIGNED: Most of the outcomes were linked to lifestyle-related chronic diseases and, further studies are needed to determine the effects of patient education provided in NLCs in terms of family/society health outcomes.