This document is in the public domain and may be used and reprinted without permission, except for any copyrighted materials noted, for which further reproduction is prohibited without the specific permission of the copyright holders. Suggested Citation: Karsh B-T. Clinical practice improvement and redesign: how change in workflow can be supported by clinical decision support. The findings and ...

Clinical Decision Support (CDS) systems have the potential of significantly improving the quality and efficiency of patient care, but they need to present information in a way that is easily understandable by health care personnell. In the clinical setting, nurses are often tasked with the care of a large number of patients, and in specific scenarios are in charge of independently making care d...

OBJECTIVE Physicians typically respond to roughly half of the clinical decision support prompts they receive. This study was designed to test the hypothesis that selectively highlighting prompts in yellow would improve physicians' responsiveness. METHODS We conducted a randomized controlled trial using the Child Health Improvement Through Computer Automation clinical decision support system i...

Computer-based systems that incorporate artificial intelligence techniques can help physicians make decisions about their patients' care. In radiology, systems have been developed to help physicians choose appropriate radiologic procedures and to formulate accurate diagnoses. These decision support systems use techniques such as rule-based reasoning, artificial neural networks, hypertext, Bayes...

While there is an increasing emphasis on patient empowerment and shared decision making, evidence suggests that many patients do not wish to be involved in decisions about their own care. Previous research has found patient preferences for involvement in decision making to vary with age, socioeconomic status, illness experience, and the gravity of the decision. Furthermore, there is evidence th...

OBJECTIVE A gap exists between the information contained in published clinical practice guidelines and the knowledge and information that are necessary to implement them. This work describes a process to systematize and make explicit the translation of document-based knowledge into workflow-integrated clinical decision support systems. DESIGN This approach uses the Guideline Elements Model (G...

The ever growing pace at which medical knowledge is produced requires clinical practice guidelines (CPGs) to be regularly updated. Since clinical decision support systems (CDSSs) are effective means to implement guidelines in routine care, they have to be revised as their knowledge sources evolve. From one version to another, some parts are kept unchanged whereas others are more or less modifie...

INTRODUCTION Evaluations of computerized clinical decision support systems (CDSS) typically focus on clinical performance changes and do not include social, organizational, and contextual characteristics explaining use and effectiveness. Studies of CDSS for intensive insulin therapy (IIT) are no exception, and the literature lacks an understanding of effective computer-based IIT implementation ...