A framework for the knowledge-based interpretation of laboratory data in intensive care units using deductive database technology.
In co-operation with the Institute of Anaesthesiology of the Ludwig-Maximilians-University in Munich a computer-based system for the analysis and interpretation of renal function, fluid and electrolyte metabolism of critical care patients has been developed. This paper focuses on the requirements and implementation aspects of the knowledge-based interpretation for this particular system. Objective of the proposed approach is, to transform an enormous--and constantly increasing--amount of raw data available in modern intensive care units (ICUs) into relevant, patient-oriented information, which is easy to understand by the medical staff. The essential features of a knowledge-based system at an ICU are outlined. A system is described where these features are realized using deductive database technology as a specification paradigm and extended relational databases as an implementation platform. The integration into the hospital information system is highlighted.
Schwaiger
J
J
GSF-Forschungszentrum für Umwelt und Gesundheit GmbH medis-Institut, Neuherberg, Germany.
Haller
M
M
Finsterer
U
U
D001185:Artificial Intelligence; D002984:Clinical Laboratory Information Systems; D003422:Critical Care; D016208:Databases, Factual; D004573:Electrolytes / Q000032:analysis; D006801:Humans; D007362:Intensive Care Units; D007677:Kidney Function Tests
D004573:Electrolytes