Paul J Fortier | PubMed Health

PubMed2004

Knowledge acquisition, synthesis, and validation: a model for decision support systems.

BACKGROUND: Decision tools such as clinical decision support systems must be built on a solid foundation of nursing knowledge. However, current methods to determine the best evidence do not include a broad range of knowledge sources. As clinical decision support systems will be designed to assist nurses when making critical decisions, methods need to be devised to glean the best possible knowledge. AIMS: This paper presents a comprehensive knowledge development process to develop a nursing clinical decision support system. DISCUSSION: The Nurse Computer Decision Support Project (N-CODES) is developing a prototype for a prospective decision support system. The prototype is being constructed on rules and cases generated by the best available evidence. To accommodate the range of decisions made in practice, different types of evidence are necessary. The process incorporates procedures to uncover, evaluate, and assimilate information to develop the knowledge domain for a clinical decision support systems. Both formal and practice-based knowledge are included. The model contains several innovative approaches including the use of clinical experts and a network of practicing clinicians. CONCLUSION: These strategies will assist scientists and practitioners interested in determining the best evidence to support clinical decision support systems.

Decision Making↗

PubMedDate not supplied

The N-CODES project: the first year.

Clinical decision making is a complex task, and particularly challenging for the novice nurse. Little assistance is available, and decision supports such as standardized guidelines are difficult to access in the hectic flow of practice. The Nursing Computer Decision Support (N-CODES) project, directed by investigators for nursing and computer engineering, addresses this problem by developing a prototype of a point-of-care system to deliver clinical knowledge via a handheld computer. This article reports on the progress made during the first year of the project. The nursing investigators have developed a novice-nurse decision-making model, a comprehensive knowledge development process, and a series of computerized practice maps. The focus of engineering has been on designing the database architecture and the knowledge representation, extraction, and discovery algorithms used to mimic nursing knowledge and clinical decision processes in software. But the success of an interdisciplinary collaborative project depends on establishing tasks and boundaries, clarifying perspectives and language, and developing a productive process. Therefore, along with the progress of each discipline, strategies used to promote collaboration are discussed.

Acute Disease↗