Design and Implementation of a Nursing Clinical Decision Support System to Promote Guideline Adherence

In this paper, a TCM constitution clinical decision support system is introduced. The features, functions, structure and working flow of this system are discussed and illustrated in detail. This system is composed of 5 modules. They are query module, investigation construction module, investigation modification module, investigation deletion module and data analysis module respectively. The property information, constitution information and tongue feature information are collected through investigation construction module. The constitution types of the testers can be automatically recognized and the prescriptions related to specific constitutions are automatically produced. Through data analysis module, specificities and sensitivities between the specific constitutions and the tongue features can be automatically obtained. The implementation of this system is of important value and guiding function during the process of TCM clinical diagnoses and treatments.

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Clinical decision support system (CDSS) – effects on care quality

International Journal of Health Care Quality Assurance ◽

10.1108/ijhcqa-01-2014-0010 ◽

2014 ◽

Vol 27 (8) ◽

pp. 707-718 ◽

Cited By ~ 12

Author(s):

Marco António Ferreira Rodrigues Nogueira dos Santos ◽

Hans Tygesen ◽

Henrik Eriksson ◽

Johan Herlitz

Keyword(s):

Decision Support ◽

Decision Support System ◽

Clinical Decision Support ◽

Support System ◽

Guideline Adherence ◽

Clinical Decision Support System ◽

Healthcare Quality ◽

Clinical Decision ◽

Control Group ◽

Content Type

Purpose – Despite their efficacy, some recommended therapies are underused. The purpose of this paper is to describe clinical decision support system (CDSS) development and its impact on clinical guideline adherence. Design/methodology/approach – A new CDSS was developed and introduced in a cardiac intensive care unit (CICU) in 2003, which provided physicians with patient-tailored reminders and permitted data export from electronic patient records into a national quality registry. To evaluate CDSS effects in the CICU, process indicators were compared to a control group using registry data. All CICUs were in the same region and only patients with acute coronary syndrome were included. Findings – CDSS introduction was associated with increases in guideline adherence, which ranged from 16 to 35 per cent, depending on the therapy. Statistically significant associations between guideline adherence and CDSS use remained over the five-year period after its introduction. During the same period, no relapses occurred in the intervention CICU. Practical implications – Guideline adherence and healthcare quality can be enhanced using CDSS. This study suggests that practitioners should turn to CDSS to improve healthcare quality. Originality/value – This paper describes and evaluates an intervention that successfully increased guideline adherence, which improved healthcare quality when the intervention CICU was compared to the control group.

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