Utility of structured care approaches in education and clinical practice

O’Neill, Eileen; Dluhy, Nancy M.

doi:10.1067/mno.2000.101982

Cited by 16 publications

(12 citation statements)

References 22 publications

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“…O'Neill et.al. [55] support this position noting trends to make scientific nursing knowledge more visible while still preserving the experiential wisdom embedded in practice. Examples of these knowledge sources include the Online Journal of Knowledge Synthesis for Nursing with reference links to Medline as well as AHCPR guidelines www.guideline.gov and best practices network www.best4health.org.…”

Section: Organizational Goals: Enhanced Clinical Decisions Evidencedmentioning

confidence: 61%

“…None of these provide sufficient information to engineer a knowledge base for a decision support system that is useful to practicing nurses. The following method extends a knowledge mapping method [17] and blends this with assumptions underlying structured knowledge representation methods [55] as well as clinical reasoning strategies in nursing [52,53]. The proposed method seeks to uncover state-of-the-art formal and practice knowledge and determine the degree of confidence in that knowledge.…”

Section: Knowledge Domain: Configuring Nursing Knowledge For a Dssmentioning

confidence: 99%

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Development of a hand-held real-time decision support aid for critical care nursing

Fortier

Jagannathan

Michel

et al. 2003

36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of The

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In the current health care environment, nurse clinicians must work "faster and smarter" making complex decisions on almost a continual basis. Evidencebased knowledge and standardized guides, such as clinical algorithms, can support clinical nursing decisions, however; effective real-time access is limited. This paper outlines research addressing this problem. In this research, current clinical knowledge is delivered to the clinician via an off-the-shelf handheld computer using wireless access to a central server and data repository. Innovative minimal-set database, data mining and knowledge discovery algorithms using a combination of case based and rule based learning with added confidence measures permitting bi-directional (forward and backwards) inferencing based on individual client data are developed and presented for the hand held device. The technology provides real-time decision support for the multiple cases and sequential decisions characterizing present critical care nursing practice. Nurses will be able to consider a full range of alternative explanations, determine additional data needs, find, isolate and examine patient case outliers for additional diagnostic data or verify the appropriateness of a selected strategy. Once fully developed the system will have the capacity to maintain a history of a series of decisions and outcomes thereby over time improving the case base and rule bases used for decision support. Outcomes of the real time decision support aid include more timely health care, less biased decisions, and improved patient outcomes.

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Section: Organizational Goals: Enhanced Clinical Decisions Evidencedmentioning

confidence: 61%

Section: Knowledge Domain: Configuring Nursing Knowledge For a Dssmentioning

confidence: 99%

Development of a hand-held real-time decision support aid for critical care nursing

Fortier

Jagannathan

Michel

et al. 2003

36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of The

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“…Identification of the decision points led to the categories that were developed and the questions that were asked to develop the knowledge base. The model reflects our active, longstanding research programs in knowledge synthesis and use, and clinical decision‐making (Dluhy 1995, O'Neill 1994, 1995, 1999, O'Neill & Dluhy 1997, 2000).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

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

O’Neill¹,

Dluhy²,

Fortier³

et al. 2004

Journal of Advanced Nursing

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“…Because heuristics are subjective probabilities derived from nurses' unique mental representations, decisions made with these mental shortcuts can be error laden. Structured care approachesprotocols, clinical pathways, algorithms, and clinical practice guidelines -can reduce error by alerting clinicians to best-evidence a p proaches and standardizing interventions for basic care (Elstein, 1995;ONeill & Dluhy, 2000). Using nationally recognized, published standards of care can streamline decision making for uncomplicated cases.…”

Section: Implications For Fostering Diagnostic Reasoning In Practicementioning

confidence: 99%

Experienced and Less‐Experienced Nurses Diagnostic Reasoning: Implications for Fostering Students' Critical Thinking

Ferrario¹

2003

International Journal of Nursing Terminologies and Classificati

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Utility of structured care approaches in education and clinical practice

Cited by 16 publications

References 22 publications

Development of a hand-held real-time decision support aid for critical care nursing

Development of a hand-held real-time decision support aid for critical care nursing

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

Experienced and Less‐Experienced Nurses Diagnostic Reasoning: Implications for Fostering Students' Critical Thinking

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