Conference Paper

Intensive Care Unit Platform for Health Care Quality and Intelligent Systems Support.

DOI: 10.1007/978-3-540-85863-8_43 Conference: International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2008, University of Salamanca, Spain, 22th-24th October 2008
Source: DBLP


The underlying idea in this work consists on providing added values utilities that allow exploiting the Electronic Health
Record (EHR) as something more than a simple information record. The key for providing added value to the clinical information
systems is to exploit the synergy “Information + intelligence + ubiquity”. Based on this idea, we propose a distributed architecture
that deals with: 1) Database and an integration layer to exploit the data stored and its integration with external information
system, 2) Tools for support the medical knowledge management, 3) Tools for supervision and analysis of the health care quality
(based on EBM and Clinical Guidelines) 4) Intelligent Assistance Tools.

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    ABSTRACT: Intensive Care Units (ICUs) are hospital departments that focus on the evolution of patients. In this scenario, the temporal dimension plays an essential role in understanding the state of the patients from their temporal information. The development of methods for the acquisition, modelling, reasoning and knowledge discovery of temporal information is, therefore, useful to exploit the large amount of temporal data recorded daily in the ICU. During the past decades, some subfields of Artificial Intelligence have been devoted to the study of ...
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    ABSTRACT: Catheter-related bloodstream infection (CRBSI) is one of the major existing problems in Intensive Care Units (ICU). CRBSI has a high prevalence and its treatment is quite costly in time and medication. One of the essential efforts in the diagnosis and treatment of CRBSI is the use of existing Clinical Guidelines (CG). Nevertheless, its adoption and integration into daily practice is quite complex due to the lack of software tools that cover all the needs. Considering this problem, in this work we identify some of the needs detected in daily work, and we present two tools for ICUs that makes the introduction of CGs and patient’s data visualization simple. As a first goal we propose to obtain a computerized model of the clinical guideline. Gewel is an application that allows the mapping of a textual CG into a workflow model. In this tool we propose a process that 1) organizes the parts of the textual document according to GEM, 2) maps concepts to the Electronic Health Record (EHR) system, called CH4, so that it can automatically retrieve data and send HL7 messages, 3) supports the design of a workflow model that assists the following up of the steps and the measure of adherence to the CG, and 4) according to Evidence Based Medicine principles, allows the doctors to trace from the task or decision point of the workflow to the exact part of the document where it was originated. Once the CG is computerized and integrated in the EHR, the next goal is to identify key clinical problems, such as CRBSI, and retrieve the relevant information from the EHR. Due to the big amount of the EHR data registered in an ICU, physician’s attention should be drawn to the clinical information related to the problem to be solved. We propose a mobile application, called mProblemView, that permits to establish and visualize relations between the elements of the EHR in a Problem-Oriented EHR approach
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