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Computer assisted data analysis in intensive care: the ICDEV project-development of a scientific database system for intensive care
Authors:Ph. G. H. Metnitz   P. Laback   C. Popow   O. Laback   K. Lenz  M. Hiesmayr
Affiliation:(1) Dept. of Cardiothoracic & Vascular Anesthesia & Intensive Care, University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria;(2) Institute F. Mathematics 501C, Graz University of Technology, Graz, Austria;(3) Pediatric Clinic, University of Vienna, Neonatal ICU, Vienna, Austria;(4) KH Barmherzige Brüder, Linz, Upper Austria
Abstract:Introduction: Patient Data Management Systems (PDMS) for ICUs collect, present and store clinical data. Various intentions make analysis of those digitally stored data desirable, such as quality control or scientific purposes. The aim of the Intensive Care Data Evaluation project (ICDEV), was to provide a database tool for the analysis of data recorded at various ICUs at the University Clinics of Vienna.Settings: General Hospital of Vienna, with two different PDMSs used: Care Vue 9000 (Hewlett Packard, Andover, USA) at two ICUs (one medical ICU and one neonatal ICU) and PICIS Chart+ (PICIS, Paris, France) at one Cardiothoracic ICU.Concept and methods: Clinically oriented analysis of the data collected in a PDMS at an ICU was the beginning of the development. After defining the database structure we established a client-server based database system under Microsoft Windows NITM and developed a user friendly data quering application using Microsoft Visual C++TM and Visual BasicTM;Results: ICDEV was successfully installed at three different ICUs, adjustment to the different PDMS configurations were done within a few days. The database structure developed by us enables a powerful query concept representing an ‘EXPERT QUESTION COMPILER’ which may help to answer almost any clinical questions. Several program modules facilitate queries at the patient, group and unit level. Results from ICDEV-queries are automatically transferred to Microsoft ExcelTM, for display (in form of configurable tables and graphs) and further processing.Conclusions: The ICDEV concept is configurable for adjustment to different intensive care information systems and can be use to support computerized quality control. However, as long as there exists no sufficient artifact recognition or data validation software for automatically recorded patient data, the reliability of these data and their usage for computer assisted quality control remain unclear and should be further studied. Supported by the Scientific Fund of the Mayor of Vienna
Keywords:patient data management  critical care  clinical information systems  computerized quality control  audit systems  documentation
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