Decision support for infectious diseases--a working prototype.
This paper presents a decision support system for nosocomial infections and its integration in the large HIS of the University Hospital of Giessen. The system comprises five different engines and a data dictionary. It is designed to detect hospital acquired infections even in a situation where only a restricted amount of clinical data is available (the data is split up in different information systems). Furthermore the model prevents time consuming manual data entry. The five engines split the main task into: (1) a preselection, which sorts out patients who definitely do not have a nosocomial infection; (2) a rule based reasoning process which detects patients likely to have such an infection; (3) an alarm process which is responsible for the presentation of the alert; (4) an explanation process to follow up the reasoning; and (5) statistic tools to answer specific hygienic questions. A data dictionary supplies the controlled vocabulary, which is required to understand data structures used in the different clinical subsystems and may those with each other.
Joch
J
J
Department of Clinical and Administrative Data Processing, University of Giessen, Klinikstrasse 23, 35392 Giessen, Germany.
Dudeck
J
J
D001185:Artificial Intelligence; D003428:Cross Infection; D020000:Decision Support Systems, Clinical; D006751:Hospital Information Systems; D006801:Humans; D006920:Hygiene; D017053:Infection Control