Abstract
Information is the major capital nowadays. Also all health care providers have to cope with that fact. At the ICU bedside, the members of the therapeutical team form the link between information about a patient on one side and a correct and goal directed treatment decision on the other side. This patient information is growing rapidly, its mass is too huge to be worked out properly and in time by the human brain. To solve this emerging conflict, three major strategies can be used:
-
1.
A randomized decrease in number and content of information betters the feehng of the overloaded doctor. Still, the now missing information has to be replaced. Dogmatas, rites and other simple yes-no decisions are helpful in finding a way, but lead unevitably to medical fundamentalism.
-
2.
The use of standards is a viable compromise. It is the nature of standards, that they have to be reevaluated continuously, otherwise they result in fixed rules and again lead to dogmatism.
-
3.
Proper and wise use of information, enabled by means of structured presentation, meaningful contexts and “intelligent” abstractions is still the most effective way of making decisions and acting accordingly. This is reahzed to a great extent in business, stock exchange and in the military field, but medicine is far behind. Doctors tend to accuse industry for this lack of innovation, but mostiy the developers interface between the rules of medicine and the tools of information is the weak point.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
General references
System
Ambroso C, Bowes C, Chambrin MC, Gilhooly K, Green C, Kari A, Logie R, Marraro G, Mereu M, Rembold P, et al (1992) Inform: European survey of computers in intensive care units. Int J Clin Monit Comput 9(1):53–61
Bowes CL, Wilson AJ (1994) Information management systems for intensive care. Comput Methods Programs Biomed 44(l):31–35
Colson AR, Bounds JA, Alt White AC, McDermott S (1995) Preparing for an ICU bedside computer. Nurs Manage 26(5):48A-48B
Friesdorf W et al (1994) Information transfer in high dependency environments: an ergonomie analysis. Int J Clin Monit Comp 11:105–115
Friesdorf W, Gross Alltag F, Konichezky S, Schwilk B, Fattroth A, Fett P (1994) Lessons learned while building an integrated ICU workstation. Int J Clin Monit Comput 11(2):89–97
Friesdorf W, Schwilk B (1992) Patient related data management. J Clin Monit 8(4):308–314
Hohnloser JH, Purner F (1992) PADS (Patient Archiving and Documentation System): a computerized patient record with educational aspects. Int J Chn Monit Comput 9(2):71–84
Kalli S, Ambroso C, Gregory R, Heikela A, Ilomaki A, Leaning M, Marraro G, Mereu M, Tuomisto T, Yates C (1992) Inform: conceptual modelling of intensive care information systems. Int J Chn Monit Comput 9(2):85–94
Lenz K (ed) (1993) Patient data management in intensive care/11th Vienna Intensive Care Days. Springer, Berlin Heidelberg New York
Morris AH, East TD, Wallace CJ, Orme J Jr, Clemmer T, Weaver L, Thomas F, Dean N, Pearl J, Rasmusson B (1994) Ethical implications of standardization of ICU care with computerized protocols. Proc Annu Symp Comput Appl Med Care 501–505
Data acquistion
Cunningham S, Symon AG, Mcintosh N (1994) The practical management of artifact in computerised physiological data. Int J Clin Monit Comput 11(4):211–216
Dawant BM, Manders EJ, Lindstrom DP (1994) Adaptive signal analysis and interpretation for real time intelhgent patient monitoring. Methods Inf Med 33(l):60–63
Imhoff M (1992) Acquisition of ICU data: concepts and demands. Int J Clin Monit Comput 9(4): 229–237
Databases and search tools
Laursen P (1994) Event detection on patient monitoring data using Causal Probabilistic Networks Methods. Inf Med 33(1):111–115
Tu JV, Guerriere MR (1992) Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery. Proc Annu Symp Comput Appl Med Care 666–672
Veit C, Tecklenburg A (1992) Computing tools for quality assurance. Qual Assur Health Care 4(1): 3–8
Information, presentation and decision Support
Cereijo E (1992) Computer assisted management of information in an intensive care unit. Int J Clin Monit Comput 9(3): 159–163
Fackler J, Kohane I (1994) Monitor driven data visualization: Smart Display. Proc Annu Symp Comput Appl Med Care 939–943
Haimowitz IJ (1994) Intelhgent diagnostic monitoring using trend templates. Proc Annu Symp Comput Appl Med Care 702–708
Lau F (1994) A clinical decision support system prototype for cardiovascular intensive care. Int J Clin Monit Comput 11(3):157–169
Lau F, Vincent D (1992) Formahzed decision support for cardiovascular intensive care. Proc Annu Symp Comput Appl Med Care 442–448
Lesser MF (1994) GIFIC. A graphical interface for intensive care. Proc Annu Symp Comput Appl Med Care 988
Schwaiger J, Haller M, Finsterer U (1992) A framework for the knowledge based interpretation of laboratory data in intensive care units using deductive database technology. Proc Annu Symp Comput Appl Med Care 13–17
Sukuvaara T, Koski EM, Makivirta A, Kari A (1993) A knowledge based alarm system for monitoring cardiac operated patients technical construction and evaluation. Int J Clin Monit Comput 10(2):117–126
Uckun S (1994) Intelligent systems in patient monitoring and therapy management. A survey of research projects. Int J Clin Monit Comput 11(4):241–253
Uckun S, Dawant BM, Lindstrom DP (1993) Model based diagnosis in intensive care monitoring: the YAQ approach. Artif Intell Med 5(l):31–48
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer-Verlag Italia, Milano
About this chapter
Cite this chapter
Koller, W. (1996). Flow of Information in the ICU — An Overview. In: Gullo, A. (eds) Anaesthesia, Pain, Intensive Care and Emergency Medicine — A.P.I.C.E.. Springer, Milano. https://doi.org/10.1007/978-88-470-2203-4_82
Download citation
DOI: https://doi.org/10.1007/978-88-470-2203-4_82
Publisher Name: Springer, Milano
Print ISBN: 978-3-540-75014-7
Online ISBN: 978-88-470-2203-4
eBook Packages: Springer Book Archive