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Finding meaningful associations between text elements and knowledge structures within clinical narratives in a highly verbal domain, such as psychiatry, is a challenging goal. The research presented here uses a small corpus of case histories and brings into play pre-existing knowledge, and therefore, complements other approaches that use large corpus (millions of words) and no pre-existing knowledge...
The worldwide adoption of the HL7 Clinical Document Architecture (CDA) is promoting the availability of coded data (CDA entries) within sections of clinical documents. At the moment, an increasing number of studies are investigating ways to transform the narratives of CDA documents into machine process able CDA entries. This paper addresses the reverse problem, i.e. obtaining linguistic representations...
Much medical knowledge is contained within available literature, such as clinical guidelines and protocols. Recently, an interest has been developed in automatic content extraction to construct ontologies of this knowledge to make it more widely available. With groups of domain experts distributed geographically, and the growing amount of medical literature, an important challenge is to develop collaborative...
Exchanging medical documents over healthcare networks is becoming a reality. This increases the need to effectively manage the growing amount of information for a single patient. Therefore, there is a current need to visualise electronic health records (EHRs) in a way that assist physicians with clinical tasks and medical decision-making. The new methods to visualise clinical information from EHRs...
Since the 1990s many researchers have proposed frameworks for modelling clinical guidelines and protocols in a computer-interpretable and computer-executable format. Nowadays, the various guideline representation languages and related frameworks also need to address compatibility with healthcare information systems that aim to be interoperable on nation-wide and even international-levels. This paper...
The transformation of a document-based medical guideline into a computer-based decision support is a time-consuming and error-prone activity. One way to alleviate this burden is by automating as much as possible the knowledge intensive tasks within the life cycle of medical guidelines. This paper presents a test-bed simulation framework that aims to take advantages of both CommonKADS methodology and...
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