A decision support software package for medical treatment of I.C.U. patients

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:2987012 15 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
A decision support software package for medical treatment of I.C.U. patients
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Critically ill patients admitted in I.C.U. often have multiple complicated problems which necessitate the use of a large number of drugs. The multiple potential interactions between substances and underlying pathologies as well as between substances themselves, obviate the need for a decision support system. We therefore developed a software package for medical treatment support in I.C.U. environment which is based on Microsoft Visual Basic 3.0 and it is organised around the commercially available RDBMS Access 2.0. The database consist of: a) all available substances, b) all generic names of medications available in Greece for each substance, c) incompatibilities (2,300 cases), d) interactions (50,000 cases) and e) cost information for each drug. This system assures the safety of the administered treatment, helps to adjust the dose according to the situation of each patient (anthropometric data, laboratory results, prognostic/severity score e.t.c.) and screens for possible interactions and incompatibilities between the administered drugs. It could also be used for education, treatment algorithms application and it will serve cost-reduction policy. It is a useful and powerful tool for ICU staff which does not impose additional work to the daily practice routine and it is currently under evaluation in clinical settings. © 1997, The authors.
Έτος δημοσίευσης:
1997
Συγγραφείς:
Sphiris, N.
Nanas, S.
Paraskevopoulou, H.
Lymberis, A.
Kyprianou, T.
Liakopoulou, E.
Roussos, C.
Περιοδικό:
Studies in Health Technology and Informatics
Εκδότης:
IOS Press BV
Τόμος:
43
Σελίδες:
911-914
Λέξεις-κλειδιά:
Anthropometry; Artificial intelligence; Cost reduction; Drug dosage; Drug interactions; Software packages; Visual BASIC, Anthropometric data; Clinical settings; Cost information; Critically-ill patients; Decision support software; Medical treatment; Microsoft Visual Basic, Decision support systems, article; computer program; decision support system; drug information; drug interaction; drug surveillance program; Greece; human; intensive care unit; risk factor, Adverse Drug Reaction Reporting Systems; Decision Support Systems, Clinical; Drug Information Services; Drug Interactions; Greece; Humans; Intensive Care Units; Risk Factors; Software
Επίσημο URL (Εκδότης):
DOI:
10.3233/978-1-60750-887-8-911
Το ψηφιακό υλικό του τεκμηρίου δεν είναι διαθέσιμο.