Biomedical subjects

Nancy M Dluhy

Publications and source records attributed to Nancy M Dluhy.

4 recordsLinked to original sources

PubMed2005

Modelling novice clinical reasoning for a computerized decision support system.

AIM: The aim of this paper is to introduce the theoretical framework that directs the project. BACKGROUND: The Novice Computer Decision Support (N-CODES) Project is developing a point-of-care system to assist novice acute care nurses while making clinical judgements. Unlike prior approaches, N-CODES is guided by a theoretical understanding of nurses' decision-making processes, including the manner by which novices develop this skill. FRAMEWORK: Assumptions within information processing theory guided the clinical decision-making framework. The framework is composed of a clinical decision-making model and a second embedded model depicting the clinical reasoning development of novice nurses. MODELS: The model is developed within a pluralistic perspective synthesizing theoretical and empirical knowledge on clinical decision-making and the development of novice reasoning skills. A visual representation of experienced nurse decision-making is presented. A central element is the nurse's use of pre-encounter data and working knowledge. A second model integrates empirical data on the developing clinical reasoning of the novice. This knowledge is loosely scattered through 25 years of literature. The intersection of these models provides a novel perspective on the way novices begin to identify working knowledge patterns and develop a sense of saliency. CONCLUSIONS: Previous attempts to build comprehensive clinical decision support systems have disregarded important theoretical considerations hindering the success of these projects. Grounding a Decision Support System in a theoretical model of novice nurse decision-making will strengthen the utility and acceptance of the Decision Support System. Additionally, a conceptualization of novice nurse development is an asset to nurse educators, managers and scientists interested in improving clinical decision-making.

Clinical Competence↗

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↗

PubMedDate not supplied

Coupling the N-CODES system with actual nurse decision-making.

Nurses must be involved in the development and testing of clinical decision support systems if systems that fit into the actual clinical decision-making process and the flow of practice are to be designed. This article discusses the first trial of N-CODES, the Nurse Decision Support System. This system is designed to assist nurses, particularly novices, to make clinical decisions. The adequacy of the theoretical framework and selected aspects of the knowledge base were examined. Twelve nurses participated. Results indicated that revision of the theoretical framework is necessary if it is to be a fair representation of nurse's decision-making. The sequencing of information seems appropriate but the process of developing the knowledge base must be made more transparent to nurse users. After modifications, the next trial will test actual clinical use.

Acute Disease↗