The Nursing Process is a care technology that guides the sequence of clinical reasoning and improves the quality of care. This article reports the development of a Computerized Nursing Process (CNP) for the Intensive Care Unit. The study was conducted in three main steps: discussion and understanding of the International Organization for Standard 18104; theoretical expertise regarding the ICNP® 1.0; and the association of information with nursing diagnoses and interventions. The knowledge base was organized according to the ICNP® Version 1.0. The result was a restructuring of the CNP from the association of clinical evaluations to diagnosis and interventions that allow documentation of the clinical practice of nursing and provide support for decision-making. The methodological steps employed permitted the creation of an association between the clinical evaluation, diagnoses, interventions and results of the ICNP ® 1.0 with ISO 18104.
OBJECTIVE To analyze the usability of Computerized Nursing Process (CNP) from the ICNP® 1.0 in Intensive Care Units in accordance with the criteria established by the standards of the International Organization for Standardization and the Brazilian Association of Technical Standards of systems. METHOD This is a before-and-after semi-experimental quantitative study, with a sample of 34 participants (nurses, professors and systems programmers), carried out in three Intensive Care Units. RESULTS The evaluated criteria (use, content and interface) showed that CNP has usability criteria, as it integrates a logical data structure, clinical assessment, diagnostics and nursing interventions. CONCLUSION The CNP is a source of information and knowledge that provide nurses with new ways of learning in intensive care, for it is a place that provides complete, comprehensive, and detailed content, supported by current and relevant data and scientific research information for Nursing practices.
Hybrid study of technological production and methodological research aimed at restructuring and organize data and information from the Computerized Nursing Process, based on the International Classification for Nursing Practice (ICNP(r)) version 2.0 for Intensive Care Units. Study carried out in four stages: review of conceptual modeling and system logic; grouping of clinical situations in order of increasing complexity; determination of diagnoses and interventions for each clinical situation and; selection and registration of diagnoses and nursing interventions in the computerized system. As a result, 1,349 possibilities for clinical evaluations, 949 diagnoses and 438 nursing interventions were organized, restructured and divided into nine human body systems. The Computerized Nursing Process based on ICNP(r) can measure results, is adaptable to any reality and allows nurses to use this tool as a structured knowledge base.
OBJECTIVE Analyzing the ergonomics and usability criteria of the Computerized Nursing Process based on the International Classification for Nursing Practice in the Intensive Care Unit according to International Organization for Standardization(ISO). METHOD A quantitative, quasi-experimental, before-and-after study with a sample of 16 participants performed in an Intensive Care Unit. Data collection was performed through the application of five simulated clinical cases and an evaluation instrument. Data analysis was performed by descriptive and inferential statistics. RESULTS The organization, content and technical criteria were considered "excellent", and the interface criteria were considered "very good", obtaining means of 4.54, 4.60, 4.64 and 4.39, respectively. The analyzed standards obtained means above 4.0, being considered "very good" by the participants. CONCLUSION The Computerized Nursing Processmet ergonomic and usability standards according to the standards set by ISO. This technology supports nurses' clinical decision-making by providing complete and up-to-date content for Nursing practice in the Intensive Care Unit.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.