The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Clinical Decision support systems (CDSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and Data Mining to deliver advanced capabilities. This paper presents a prototype CDSS using OLAP with Data Mining (OLAP Mining) wh...

A computerized clinical reminder (CCR) system is a type of decision support tool to remind healthcare providers of recommended actions. In our prior study, we found a linear correlation between resolution time and adherence rate. This correlation implies a potentially biased clinical decision making. This study aimed to redesign the Veterans Affairs (VA) CCR system in order to improve providers...

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.

Group-based decision-making situations are relevant to Engineering Management practice. To assist group decision making, specialized computer-based tools called Group Decision Support Systems (GDSS) have been promoted since the late 1980s. Nevertheless, a review of the extensive research on GDSS design and evaluation reveals that an integrated framework is not available to evaluate the decision...

Background: Contact lenses are transparent, thin plastic disks that cover the surface of the cornea. Appropriate lens prescription should be performed properly by an expert to provide better visual acuity and reduce side effects. The lens administration is a multi-stage, complex and time-consuming process involving many considerations. The purpose of this study was to develop a decision support...

Integrating medical knowledge and advances into the clinical setting is often difficult due to the complexity of the involved algorithms and protocols. Clinical decision support systems (CDSS) assist the clinician in applying new information to patient care through the analysis of patient-specific clinical variables. Many of these systems are used to enhance diagnostic efforts and include compu...

Developers of Clinical Decision Support Systems (CDSSs) have to date been more concerned with the efficacy of systems (e.g. measurable improvements in clinical outcomes) than with safety (e.g. potential for harmful side-effects). In future CDSS developers will be required (by the courts etc.) to acknowledge a "duty of care" covering all aspects of design, development and deployment. Experience ...

BACKGROUND Despite the widespread availability of computerized decision support systems (CDSSs) in various healthcare settings, evidence on their uptake and effectiveness is still limited. Most barrier studies focus on CDSSs that are aimed at a limited number of decision points within selected small-scale academic settings. The aim of this study was to identify the perceived barriers to using l...

OBJECTIVE To describe the activities performed by people involved in clinical decision support (CDS) at leading sites. MATERIALS AND METHODS We conducted ethnographic observations at seven diverse sites with a history of excellence in CDS using the Rapid Assessment Process and analyzed the data using a series of card sorts, informed by Linstone's Multiple Perspectives Model. RESULTS We iden...

During the post-World War II era there has been a huge boom in introduction of new medical therapies and in improvement of health care systems. New methods are used to increase the efficiency of medical treatment by combination of knowledge derived from the literature, clinical guidelines made on practice-based evidence, and a dialogue between healthcare professionals, clinicians and patients. ...