Computerized Clinical Simulation Testing: its use for competence assessment in nursing.
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Biomedical subjects
Publications and source records attributed to A K Bersky.
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Computerized Clinical Simulation Testing (CST) is under research and development by the National Council of State Boards of Nursing for potential use as a component of the National Council Licensure Examination for Registered Nurses. It is designed to evaluate the application of the clinical decision-making process to the management of client care. The authors describe how CST works, the case development and scoring key development processes, and the plans for the CST pilot study scheduled for spring 1998.
Computerized Clinical Simulation Testing is under research and development by the National Council of State Boards of Nursing for potential use as a component of the National Council Licensure Examination for Registered Nurses. This interactive software permits the realistic assessment and management of client needs through free-text entry of requests for nursing activities, each of which elicit a response from the client. The efficiency and accuracy of system recognition of the free-text requests depends on the careful structuring of a comprehensive nursing activity database. This article describes and illustrates the processes and challenges encountered in building a system-compatible nursing activity database from a very unstructured, unstandardized nursing language.
Computerized Clinical simulation Testing (CST) is under research and development by the National Council of State Boards of Nursing for potential use as a component of the National Council Licensure Examination for Registered Nurses. This interactive software permits the realistic assessment and management of client needs through free-text entry of requests for nursing activities. Implementation of each nursing activity elicits a realistic client response. A major component of the system is a default client response database that incorporates responses for 38 different client condition categories as well as rules for their automation. This article describes and illustrates the characteristics and complexity of this database that is designed to assist in the portrayal of realistic client situations.