A clinical decision support system (CDSS) is an interactive tool designed to assist clinicians in making decisions, such as determining a diagnosis. The Isabel Database is a CDSS featuring a clinical checklist and topic-specific knowledge components. This column contains an overview of the database, provides searching tips, and places Isabel within the context of the CDSS field.

Not all drugs side-effect that occur can be avoided, but those caused by drug-drug interactions (DDI) are among the most likely to prevented and managed due their predictability. The increasing number of co-prescribed, affects potential for drug exponentially. Clinical Decision Support System (CDSS) is a promising strategy prevent patient safety risks interactions. This study aims design CDSS D...

OBJECTIVES We previously developed and reported on a prototype clinical decision support system (CDSS) for cervical cancer screening. However, the system is complex as it is based on multiple guidelines and free-text processing. Therefore, the system is susceptible to failures. This report describes a formative evaluation of the system, which is a necessary step to ensure deployment readiness o...

BACKGROUND Clinical decision support systems (CDSS) are a method used to support prescribing accuracy when deployed within a computerized provider order entry system (CPOE). Divergence from using CDSS is exemplified by high alert override rates. Excessive cognitive load imposed by the CDSS may help to explain such high rates. OBJECTIVES The aim of this study was to describe the cognitive impa...

The aim of this research is to describe the impact of Medical Codes (MC) on building a successful Clinical Decision Support System (CDSS) that helps in structuring a beneficial Information Model, we highlight a preliminary Architectural Layered network model to assist health care givers and researchers in representing their work in a unified manner. Via a descriptive methodology, we incorporate...

AIM To design and evaluate a clinical decision support system (CDSS) to support cardiovascular risk prevention in type 2 diabetes. METHODS A preliminary requirements specification and three prototype CDSS interface designs were developed. Seven patients and seven clinicians conducted 'usability tests' on five different task scenarios with the CDSS prototypes to test its effectiveness, efficie...

OBJECTIVES To review the recent research literature in clinical decision support systems (CDSS). METHODS A review of recent literature was undertaken, focussing on CDSS evaluation, consumers and public health, the impact of translational bioinformatics on CDSS design, and CDSS safety. RESULTS In recent years, researchers have concentrated much less on the development of decision technologie...