Clinical decision support systems




Clinical decision support systems
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When the first edition of Clinical Decision Support Systems was published in 199 I began the preface with the statement, We are at the beginning of a new era in the application of computer-based decision support for medicine. Usually such statements in hindsight seem

Clinical decision support systems
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From the very earliest moments in the modern history of the computer, scientists have dreamed of creating an electronic brain . Of all the modern technological quests, this search to create artificially intelligent (AI) computer systems has been one of the most ambitiousAim To review and appraise randomised controlled trials (RCT) and before and afterstudies published on clinical decision support systems (CDSS) used to support the use of antibiotics. Methods A literature search was carried out in October 2006 using MEDLINE

Clinical decision support systems come of age
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Dr. Smith is a primary care physician affiliated with a large community hospital. The hospitals practices have recently purchased a secure Web-based physician portal, which includes a clinical information system. This system, which also incorporates a clinical Improving diagnosis and treatment depends on clinical monitoring and computing. Clinical decision support systems (CDSS) have been in existence for over 50 years. While the literature points to positive impacts on quality and patient safety, outcomes, and the

Factors known to influence acceptance of clinical decision support systems .
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Clinical Decision Support Systems (CDSS) have been shown to improve clinical performance and patient outcomes, but the failure rate of such systems is still over 50 percent. To contribute to a wider understanding of issues surrounding CDDS acceptance

Data mining in clinical decision support systems for diagnosis, prediction and treatment of heart disease
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Medical errors cause thousands of deaths worldwide each year. A clinical decision support system (CDSS) offers opportunities to reduce medical errors as well as to improve patient safety. One of the most important applications of such systems is in diagnosis and treatment

Capabilities of computerized clinical decision support systems : The implications for the practicing dental professional
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This article presents the use of captured data within the range of patient care activities of the dental practitioner with an emphasis on prosthodontic activities. It describes the use of computer technology in dentistry during a typical patient encounter in a dental care facilityEfficiency, or the resources spent while performing a specific task, is widely regarded as one the determinants of usability. In this study, the authors hypothesize that having a group of users perform a similar task over a prolonged period of time will lead to improvements in

Clinical Decision Support Systems .
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Clinical Decision Support Systems (CDSS) are computer systems designed to assist clinicians with patient-related decision making, such as diagnosis and treatment. Ever since the seminal To Err Is Human was published in 2000, CDSS (along with Computer-Based

Human factors based recommendations for the design of medication related clinical decision support systems (CDSS).
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This study is part of a research project aiming at developing advanced functions of medication related CDSS to support the monitoring of patients therapeutic treatments based mainly on corresponding lab values. We adopted a user-centred approach to the design of

The changing nature of clinical decision support systems : a focus on consumers, genomics, public health and decision safety
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Methods: A review of recent literature was undertaken, focussing on CDSS evaluation, consumer and public health CDSS, the impact of translational bioinformatics on CDSS design, and CDSS safety. Results: In recent years, researchers have concentrated much

Clinical decision support systems
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Clinical decision support includes a variety of tools and interventions, computerized as well as non-computerized. Non-computerized tools include clinical guidelines or digital clinical decision support resources like ClinicalKey or UpToDate[ 2]. Such clinical decision

The computer and clinical decision support systems in primary care.
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TR Taylor Journal of Family Practice mdedge-files-live.s3.us-east-2 For the primary care physician, the combination of an ongoing explosion of medical knowledge and an in creasingly hostile malpractice liability climate makes ac cess to accurate current clinical knowledge increasingly important. Modem medical undergraduate

Clinical decision support systems recommended to prevent cardiovascular disease
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Most of the available evidence is from studies on the effectiveness of CDSSs when implemented alone in the healthcare system rather than as part of a coordinated service delivery effort that is intended to address barriers at the patient, provider, organizational, and

A survey of agent-based intelligent decision support systems to support clinical management and research
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The research into agent-based intelligent decision support systems is important to the medical industry because these systems can be used to improve the quality of healthcare in many ways. The areas these systems can be used in are diverse from the storage of medical

Towards an introspective architecture for meta-level reasoning in clinical decision support systems
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The paper presents core elements of a meta-level architecture for clinical decision support in the domain of palliative care. The goal of the reported research is to develop an architecture and an integrated set of methods for an introspective meta-level reasoner

Semantic Interoperability in Clinical Decision Support Systems : A Systematic Review.
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Abstract The interoperability of Clinical Decision Support (CDS) systems with other health information systems has become one of the main limitations for their broad adoption. Semantic interoperability must be granted in order to share CDS modules across different

Clinical decision support systems use in Wisconsin
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Context: Clinical decision support systems (CDSS) are becoming increasingly common in medical practice. Objective: To assess utilization, level of interest, and potential barriers to implementation of CDSS among physicians providing inpatient care in Wisconsin. Design

Clinical decision support systems for detection of systemic inflammatory response syndrome, sepsis, and septic shock in critically ill patients: a systematic
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Background The design of computerized systems able to support automated detection of threatening conditions in critically ill patients such as systemic inflammatory response syndrome (SIRS) and sepsis has been fostered recently. The increase of research work in