Inform: Conceptual modelling of intensive care information systems

Seppo Kalli, Claudio Ambroso, Romilly Gregory, Arno Heikelä, Arja Ilomäki, Mark Leaning, Guiseppe Marraro, Mauro Mereu, Timo Tuomisto, Claire Yates

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)

Abstract

Intensive care of a patient requires heavy monitoring and versatile therapeutic actions. These produce a huge amount of patient information. A problem exists in managing this data and other information from all supporting activities creating a need for an automated information management system. To have a sound basis for future automated information systems in intensive care unit (ICU), a conceptual model is created to cover both the clinical and other activities of the ICU. The conceptual model consists of data flow diagrams and entity-relationship diagrams with underlying common data dictionary. A modern CASE tool is utilized to build the model. The work forms a part of AIM-INFORM project, which has a purpose to develop information management and decision support systems for high dependency environment.
Original languageEnglish
Pages (from-to)85-94
Number of pages10
JournalJournal of Clinical Monitoring
Volume9
Issue number2
DOIs
Publication statusPublished - 1992
MoE publication typeA1 Journal article-refereed

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Critical Care
Information Systems
Intensive Care Units
Management Decision Support Systems
Management Information Systems
Information Management
Therapeutics

Keywords

  • information systems

Cite this

Kalli, S., Ambroso, C., Gregory, R., Heikelä, A., Ilomäki, A., Leaning, M., ... Yates, C. (1992). Inform: Conceptual modelling of intensive care information systems. Journal of Clinical Monitoring, 9(2), 85-94. https://doi.org/10.1007/BF01142185
Kalli, Seppo ; Ambroso, Claudio ; Gregory, Romilly ; Heikelä, Arno ; Ilomäki, Arja ; Leaning, Mark ; Marraro, Guiseppe ; Mereu, Mauro ; Tuomisto, Timo ; Yates, Claire. / Inform : Conceptual modelling of intensive care information systems. In: Journal of Clinical Monitoring. 1992 ; Vol. 9, No. 2. pp. 85-94.
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Kalli, S, Ambroso, C, Gregory, R, Heikelä, A, Ilomäki, A, Leaning, M, Marraro, G, Mereu, M, Tuomisto, T & Yates, C 1992, 'Inform: Conceptual modelling of intensive care information systems', Journal of Clinical Monitoring, vol. 9, no. 2, pp. 85-94. https://doi.org/10.1007/BF01142185

Inform : Conceptual modelling of intensive care information systems. / Kalli, Seppo; Ambroso, Claudio; Gregory, Romilly; Heikelä, Arno; Ilomäki, Arja; Leaning, Mark; Marraro, Guiseppe; Mereu, Mauro; Tuomisto, Timo; Yates, Claire.

In: Journal of Clinical Monitoring, Vol. 9, No. 2, 1992, p. 85-94.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

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T2 - Conceptual modelling of intensive care information systems

AU - Kalli, Seppo

AU - Ambroso, Claudio

AU - Gregory, Romilly

AU - Heikelä, Arno

AU - Ilomäki, Arja

AU - Leaning, Mark

AU - Marraro, Guiseppe

AU - Mereu, Mauro

AU - Tuomisto, Timo

AU - Yates, Claire

N1 - Project code: SAI9008

PY - 1992

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AB - Intensive care of a patient requires heavy monitoring and versatile therapeutic actions. These produce a huge amount of patient information. A problem exists in managing this data and other information from all supporting activities creating a need for an automated information management system. To have a sound basis for future automated information systems in intensive care unit (ICU), a conceptual model is created to cover both the clinical and other activities of the ICU. The conceptual model consists of data flow diagrams and entity-relationship diagrams with underlying common data dictionary. A modern CASE tool is utilized to build the model. The work forms a part of AIM-INFORM project, which has a purpose to develop information management and decision support systems for high dependency environment.

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Kalli S, Ambroso C, Gregory R, Heikelä A, Ilomäki A, Leaning M et al. Inform: Conceptual modelling of intensive care information systems. Journal of Clinical Monitoring. 1992;9(2):85-94. https://doi.org/10.1007/BF01142185