This paper illustrates the implementation of acomputerisedguidelineforpressureulcerprevention. In particular, it describes the aspects related to the site-specification of aguideline delivered by the Agency for Health Care Policy Research (AHCPR), to its integration with the electronic patient record, and to its implementation within the clinical routine. The primary goal of the system is both to facilitate nurses assessing the risk of ulcer development, and to manage patients at risk by producing daily prevention work-plans. Concerning this functionality, particular attention has been paid to manage nurse's non-compliance with the guideline suggestions and to collect data for evaluating the guideline impact. Moreover, since it is well known that nurses are often over-loaded, the human computer interaction has been studied in such a way to optimise the time spent for data input. An additional functionality of the system is the novice nurses’ education — they can browse a graphical representation of the guideline, asking details about the different tasks, and they can simulate patients to obtain real-time advice. The educational tool is written in Java and it is based on a representation of the guideline as a relational database. A preliminary evaluation of the system has been performed and the results are presented on the management of about 40 patients.

A computerised guideline for pressure ulcer prevention

QUAGLINI, SILVANA;
2000

Abstract

This paper illustrates the implementation of acomputerisedguidelineforpressureulcerprevention. In particular, it describes the aspects related to the site-specification of aguideline delivered by the Agency for Health Care Policy Research (AHCPR), to its integration with the electronic patient record, and to its implementation within the clinical routine. The primary goal of the system is both to facilitate nurses assessing the risk of ulcer development, and to manage patients at risk by producing daily prevention work-plans. Concerning this functionality, particular attention has been paid to manage nurse's non-compliance with the guideline suggestions and to collect data for evaluating the guideline impact. Moreover, since it is well known that nurses are often over-loaded, the human computer interaction has been studied in such a way to optimise the time spent for data input. An additional functionality of the system is the novice nurses’ education — they can browse a graphical representation of the guideline, asking details about the different tasks, and they can simulate patients to obtain real-time advice. The educational tool is written in Java and it is based on a representation of the guideline as a relational database. A preliminary evaluation of the system has been performed and the results are presented on the management of about 40 patients.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11571/116072
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