Despite variable results, the trend indicated that nursing diagnostics improved assessment documentation, the quality of interventions reported, and outcomes attained. The study reveals deficits in reporting of signs/symptoms and aetiology. Consequently, staff educational measures to enhance diagnostic accuracy are recommended. The relationships among diagnoses, interventions and outcomes require further evaluation. Studies are needed to determine the relationship between the quality of documentation and practice.

Educational measures support nurses to improve documentation of diagnoses, interventions, and outcomes. The Q-DIO is a useful audit tool.

Guided clinical reasoning supported nurses' abilities to state accurate nursing diagnoses, to select effective nursing interventions and to reach and document favourable patient outcomes. The results support the use of the North American Nursing Diagnosis Association, Nursing Interventions Classification and Nursing Outcomes Classification classifications and demonstrate implications for the electronic nursing documentation.

Rethinking implementation methods for standardized language and using GCR is recommended. Based on the results of this study, the inclusion of NANDA International diagnoses with related interventions and outcomes in electronic health records is suggested.

Nurses are accountable to apply the nursing process, which is key for patient care: It is a problem-solving process providing the structure for care plans and documentation. The state-of-the art nursing process is based on classifications that contain standardized concepts, and therefore, it is named Advanced Nursing Process. It contains valid assessments, nursing diagnoses, interventions, and nursing-sensitive patient outcomes. Electronic decision support systems can assist nurses to apply the Advanced Nursing Process. However, nursing decision support systems are missing, and no "gold standard" is available. The study aim is to develop a valid Nursing Process-Clinical Decision Support System Standard to guide future developments of clinical decision support systems. In a multistep approach, a Nursing Process-Clinical Decision Support System Standard with 28 criteria was developed. After pilot testing (N = 29 nurses), the criteria were reduced to 25. The Nursing Process-Clinical Decision Support System Standard was then presented to eight internationally known experts, who performed qualitative interviews according to Mayring. Fourteen categories demonstrate expert consensus on the Nursing Process-Clinical Decision Support System Standard and its content validity. All experts agreed the Advanced Nursing Process should be the centerpiece for the Nursing Process-Clinical Decision Support System and should suggest research-based, predefined nursing diagnoses and correct linkages between diagnoses, evidence-based interventions, and patient outcomes.