No abstract

The standardized language systems are important tools for dealing with the increasing complexity of nursing care. In this article the authors present the main benefits that the use of these systems provide for the required clinical reasoning in nursing care, the construction and organization of knowledge of the discipline, and for the clinical practice of nursing. The potential contributions of the standardized language systems in these fields stem from the fact that these systems provide a formal structure for supporting clinical reasoning, organizing knowledge and nursing experience.

This MRT can assist clinicians in understanding clinical reasoning, based on temporal logic and spectral interaction among elements of nursing classifications. In turn, this understanding will improve the use and accuracy of nursing diagnosis, which is a critical component of the nursing process that forms a basis for nursing practice standards worldwide.

Objective: to analyze the distribution of nursing professionals' workloads, according to the Nursing Intervention Classification (NIC), during the transoperative period at a surgical center specializing in oncology. Methods: this was an observational and descriptive cross-sectional study. The sample consisted of 11 nurses, 25 nursing technicians who performed a variety of roles within the operating room, 16 nursing technicians who worked with the surgical instrumentation and two nursing technicians from patient reception who worked in the surgical center during the transoperative period. An instrument was developed to collect data and the interventions were validated according to NIC taxonomy. Results: a total of 266 activities were identified and mapped into 49 nursing interventions, seven domains and 20 classes of the NIC. The most representative domains were Physiological-Complex (61.68%) and Health System (22.12%), while the most frequent interventions were Surgical Care (30.62%) and Documentation (11.47%), respectively. The productivity of the nursing team reached 95.34%. Conclusions: use of the Nursing Intervention Classification contributes towards the discussion regarding adequate, professional nursing staffing levels, because it shows the distribution of the work load.

The findings can help nurses during the diagnostic process, as they identify which defining characteristics can be used to confirm or rule out the probability of occurrence of the diagnosis.

Measures of accuracy can contribute to an accurate diagnostic inference process, improving patient assessment and facilitating rapid, accurate diagnosis.

Alarm frequency data will assist with evidence-based configuration of alarm limits for early warning systems.

This study may enable the extension of the use of this diagnosis and contribute to quality surgical care of clients.