DocumentCode :
1369445
Title :
A clinical description of the IMPROVE data library
Author :
Nieminen, K. ; Langford, R.M. ; Morgan, C.J. ; Takala, J. ; Kari, A.
Author_Institution :
Dept. of Anaesthesiology & Intensive Care, Kuopio Univ. Hosp., Finland
Volume :
16
Issue :
6
fYear :
1997
Firstpage :
21
Lastpage :
24
Abstract :
IMPROVE (IMPROVing control of patient status in critical carE) was a concerted action project of the Biomed-1 programme of the European Union. Its main goal was to develop methods of biosignal processing and interpretation in order to detect disorders of oxygen delivery to vital tissues early enough for effective treatment to improve patient outcome. As the first step, a prospective survey of the incidence of potentially dangerous disorders of oxygen delivery was carried out in the intensive-care units (ICUs) of three of the participating hospitals. The four most common and significant types of disorders were defined (hypovolaemia, cardiac failure, high blood-flow state and oxygen-content-related problems) and their incidence measured and compared among the three sites. In the second phase, a data library (DL) was obtained from episodes of 24 hours of intensive observation in patients at risk of developing one of the four most frequent disorders observed in the first survey. This data collection was performed in the Department of Intensive Care, Kuopio University Hospital, Finland. The objective of the IMPROVE project was that the DL should include data from 60 patient days, that it should include evidence of the evolution and resolution of the disorders, and that it should be unique in as much as the physiological data trends would be put in clear clinical context by a comprehensive process of clinical annotation. This annotation was seen as the key to making the DL suitable for biosignal processing and interpretation tasks, and to facilitate the development of diagnostic trend analysis tools.
Keywords :
cardiology; haemodynamics; medical diagnostic computing; medical information systems; medical signal processing; oxygen; patient care; Biomed-1 programme; IMPROVE data library; O/sub 2/; biosignal processing; cardiac failure; clinical annotation; clinical description; critical care; diagnostic trend analysis tools; high blood-flow state; hypovolaemia; intensive observation; intensive-care units; multiple organ failure; oxygen delivery disorders; oxygen-content-related problems; patient outcome; patient status control; patient treatment; physiological data trends; signal interpretation; Biomedical engineering; Biomedical measurements; Blood flow; Electrical capacitance tomography; Evolution (biology); Libraries; Medical services; Medical treatment; Particle measurements; Supply and demand; Aged; Data Collection; Diagnosis-Related Groups; European Union; Heart Failure; Humans; Intensive Care; Intensive Care Units; Length of Stay; Management Information Systems; Middle Aged; Multiple Organ Failure; Quality Control; Respiratory Distress Syndrome, Adult; Shock; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.637113
Filename :
637113
Link To Document :
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