OBJECTIVES Unnecessary duplicate laboratory testing is common and costly. Systems-based means to avert unnecessary testing should be investigated and employed. METHODS We compared the effectiveness and cost savings associated with two clinical decision support tools to stop duplicate testing. The Hard Stop required telephone contact with the laboratory and justification to have the duplicate ...

The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it c...

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Most guidelines for clinical practice, and especially those for the construction of decision support tools, assume that the individual person (the patient) needs to be in possession of information of particular sorts and amount in order to qualify as having made an 'informed decision'. This often implicitly segues into the patient having made a 'good decision'. In person-centred health care, wh...

Clinical decision support for the diagnosis and treatment of breast cancer needs to be provided for a multidisciplinary team to improve the care. The execution of clinical knowledge in an appropriate representation to support decisions, however, is typically centrally orchestrated and inconsistent with the nature and environment that specialists work together. The use of guideline language of P...

A 4-year curriculum project (2004-2008) to integrate patient decision support into an existing curriculum was guided by the Knowledge-to-Action process model. The purpose of this project was to integrate a patient decision support theoretical framework and associated evidence-based resources throughout a four-year baccalaureate nursing curriculum. Interventions designed to adapt knowledge to lo...

The goal of Clinical Decision Support (CDS) is to help physicians find useful information from a collection of medical articles with respect to the given patient records, in order to take the best care of their patients. Most of the existing CDS methods do not sufficiently consider the semantic evidence, hence the potential in improving the performance in biomedical articles retrieval. This pap...

The task of the clinical decision support track in TREC 2016 requires a system to retrieve and return the most relevant biomedical articles after giving the electronic health report as query. Firstly, we consider two important factors i.e., query length and specific term’s occurrence, and adopt two models by the combination of a novel TF-IDF method and the traditional BM25. We name them as MATF...

Article history: Received 28 May 2012 Accepted 23 June 2012 Available online 7 August 2012 This paper presents a vision for applying the Watson technology to health care and describes the steps needed to adapt and improve performance in a new domain. Specifically, it elaborates upon a vision for an evidence-based clinical decision support system, based on the DeepQA technology, that affords exp...

The use of archived injormatiori arid knowledge derived from data-driven system, both at the poirit of care and retrospectively, is critical to iniproving the balance between healthcare e.rperiditure arid healthcare qirality. Data-driveti clinical decision support, augmented by pe$orinance feedback arid edircatiori, is a logical addition to consensus arid evidence-based ripproaches on the path ...