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PROCenf evaluation: Are the assessments triggering the correct NANDA-I diagnoses?
Michelle Tellez1, Heloisa Helena Ciqueto Peres, Diná de Almeida Lopes Monteiro da Cruz
1California State University East Bay, Nursing and Health Sciences Department, Concord, CA, United States.
This study assesses PROCEnf-USP, a nursing diagnosis decision support system. It evaluates the system's reliability and the validity of NANDA-I terminology for Brazilian patients.
Area of Science:
- Nursing Informatics
- Clinical Decision Support Systems
- Health Informatics
Background:
- Staff nurses require efficient tools for patient assessment.
- Decision support systems can aid in accurate nursing diagnoses.
- The PROCEnf-USP system utilizes NANDA-I for diagnosis probability computation.
Purpose of the Study:
- To evaluate the reliability of the PROCEnf-USP system.
- To assess the validity of NANDA-I nursing diagnoses in the Brazilian healthcare context.
- To determine if PROCEnf-USP accurately supports nursing diagnoses for Brazilian patients.
Main Methods:
- The study involved evaluating PROCEnf-USP, a decision support system.
- Reliability was assessed by examining diagnostic consistency.
- Validity was tested concerning NANDA-I terminology representation of Brazilian patient experiences.
Main Results:
- Results regarding the reliability of PROCEnf-USP were analyzed.
- The study investigated the validity of NANDA-I terminology in Brazil.
- Findings address the system's performance and diagnostic term relevance.
Conclusions:
- The reliability of PROCEnf-USP needs thorough evaluation.
- The representativeness of NANDA-I for Brazilian patients requires validation.
- Further research is essential to optimize nursing diagnosis support in Brazil.
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