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Using a guideline-centered approach for the design of a clinical decision support system to promote smoking cessation
Richard N Shiffman1, George Michel, Abdelwaheb Essaihi
1Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT, USA.
Abstract:
Knowledge acquisition for the design of clinical decision support systems can be facilitated when clinical practice guidelines serve as a knowledge source. We describe application of the Guideline Elements Model (GEM) in the design of a decision support system to promote smoking cessation. Following selection of relevant recommendations and markup of knowledge components with the GEM Cutter editor, the Extractor stylesheet was used to create a list of decision variables and actions for further processing. Decision variables and actions that reflect similar concepts were consolidated. Action types were identified. Extracting the critical concepts from the narrative text facilitates clarification of necessary content. The guideline-centric approach promotes accurate translation of guideline knowledge.
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Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Chronic Obstructive Pulmonary Disease-V: Management
Smoking Cessation
Dosage Regimens: Designs and Approaches
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
Chronic Obstructive Pulmonary Disease-V: Nursing Management
Assessment