An Internationally Consented Standard for Nursing Process-Clinical Decision Support Systems in Electronic Health Records. Issue 11 (November 2016)

• Record Type: Journal Article
• Authors: Müller-Staub, Maria; de Graaf-Waar, Helen; Paans, Wolter
• Is Part Of: Computers, informatics, nursing. Volume 34:Issue 11(2016)
• Publication Date: 2016-11
• Subjects: Clinical decision support system -- D-catch -- Documentation -- Electronic nursing record -- Q-DIO -- Standard validation; Nursing -- Data processing -- Periodicals; 610.730285
• DOI: 10.1097/CIN.0000000000000277
• Languages: English
• ISSNs: 1538-2931

Abstract

Abstract : 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.