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

Eileen S O'Neill¹, Nancy M Dluhy, Paul J Fortier

¹College of Nursing, University of Massachusetts Dartmouth, North Dartmouth, Massachusetts 02747-2300, USA. eoneill@verizon.net

Journal of Advanced Nursing

|June 16, 2004

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Developing effective clinical decision support systems requires integrating diverse nursing knowledge. This study outlines a comprehensive process to gather and evaluate evidence, ensuring robust decision support for nurses.

Area of Science:

Nursing Informatics
Health Decision Support Systems
Knowledge Management in Healthcare

Background:

Clinical decision support systems (CDSS) are crucial for nursing practice.
Current evidence-gathering methods for CDSS lack breadth.
A need exists for improved knowledge acquisition for nursing CDSS.

Purpose of the Study:

To present a comprehensive knowledge development process for nursing CDSS.
To establish a foundation of nursing knowledge for decision tools.

Main Methods:

Incorporating procedures to uncover, evaluate, and assimilate information.
Utilizing both formal and practice-based knowledge sources.
Employing clinical experts and a network of practicing clinicians.

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Main Results:

The Nurse Computer Decision Support Project (N-CODES) is developing a prototype CDSS.
The prototype is built on rules and cases derived from the best available evidence.
The process accommodates diverse evidence types for practical decision-making.

Conclusions:

The developed process aids in creating robust knowledge domains for nursing CDSS.
Innovative approaches include expert and practitioner networks.
These strategies support scientists and practitioners in identifying best evidence for CDSS.