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...

BACKGROUND AND PURPOSE National and local data on treatment choices indicate under utilization ofbreast conserving surgery by women with early stage breast cancer, while current literature suggests that the issue may relate to inadequacies in efforts to educate them about treatment options. The purpose of this four-year project is to develop and test an interactive, multimedia, computerized dec...

This paper discusses the implementation of optimizaiion based DSSs. A n approach i s proposed that will enable OR/MS analysts t o develop this kind of system much more eoc ient ly than is possible today. The aim i s t o develop systems with modern GUIs, that interact with DBMSs, and that can be built with little programming effort. Many of the tools required for this approach were developed t o...

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 ...

Evidence-based Clinical Guidelines are the document or recommendation which follow a rigorous development process and are based on the highest quality scientific evidence. Evidence-based clinical guidelines are important knowledge resources which have been used in many medical decision support systems and medical applications. In this paper, we present a semantic approach of evidence-based clin...

A standardized, controlled vocabulary allows adverse drug events (ADE) information to be described in an unambiguous way in knowledge bases, which is critical for clinical decision support systems for patient medication safety. In this paper, we describe our preliminary effort on development of an ontological representation pattern for the ADE domain. We discuss clinical implications of the eff...

OBJECTIVE Clinical decision support (CDS) is a powerful tool for improving healthcare quality and ensuring patient safety; however, effective implementation of CDS requires effective clinical and technical governance structures. The authors sought to determine the range and variety of these governance structures and identify a set of recommended practices through observational study. DESIGN T...