Structured Representation of Drug Indications: Lexical and Semantic Analysis and Object-Oriented Modeling

Abstract:

No standardized representation of drug indications is currently available that could be used in drug knowledge bases. We describe an object-oriented representation of indications that should make it possible to develop new tools for selecting drugs and checking prescriptions in computerized drug prescription systems. The model was developed using the results of a lexical and semantic analysis of drug indications, collected into a single file and processed using natural language processing software. It distinguishes both the diseases for which the drug may be given and the efficiency of the drug for a given indication. Two aspects of the model were evaluated: the differences if two independent evaluators filled the attributes independently and the loss of information induced by the use of the model. A system based on this model, making it possible for the physician to select all the drugs satisfying various criteria, is also presented.

Keywords:

Drug Indications - Knowledge Base - Information Modeling - Electronic Prescribing

• REFERENCES

• 1 Linnarson R. Decision support for drug prescription integrated with computer-based patient records in primary care. Med Inform 1993; 18: 131-42.
• 2 De Zegher I, Venot A, Milstein C, Séné B, De Carolis B, Pizzutilo S. OPADE: Optimization of drug prescription using advanced informatics. Computer Methods Programs Biomed 1994; 45: 131-6.
• 3 Evans RS, Pestotnik SL, Classen DC, Clemmer TP, Weaver LK, Orme JF, Lloyd JF, Burke JP. A computer-assisted management program for antibiotics and other anti-infective agents. New Engl J Med 1998; 338: 232-8.
• 4 Milstein C, de Zegher I, Venot A, Sene B, Pietri P, Dahlberg B. Modeling drug information for a prescription-oriented knowledge base on drugs. Method Inform Med. 1995 34. 318-27.
• 5 Liu JH, Milstein C, Séné B, Venot A. Object oriented modeling and terminologies for drug contraindications. Method Inform Med 1998; 37: 45-52.
• 6 Sene B, Venot A, de Zegher I, Milstein C, Errore S, de Rosis F, Strauch G. A general model of drug prescription. Method Inform Med 1995; 34: 310-7.
• 7 National Drug File (NDDF), www.firstdatabank.com , 1998.
• 8 Husson C, Mangeot A. Theriaque: Information sur le médicament et aide la prescription. In: Informatique et Médicaments . Venot A, Degoulet P. eds. Paris: Springer-Verlag; 1989: 208-20.
• 9 Coste J, Sene B, Milstein C, Bouee S, Venot A. Indicators for the automated analysis of drug prescribing quality. Method Inform Med 1998; 37: 38-44.
• 10 Dictionnaire Vidal. Paris: OVP-Editions; 1998
• 11 Nomino software, HYPERLINK http://www.ling.uqam.ca/nomino.
• 12 Coad P, Yourdon E. Object-Oriented Analysis . New York: Prentice-Hall; 1991
• 13 Chute CG, Cohn SP, Campbell KE, Oliver DE, Campbell JR. The content coverage of clinical classification. JAMIA 1996; 3: 224-33.
• 14 Martindale, the extra Pharmacopoeia. London: Pharmaceutical Press; 1998
• 15 Rothwell DJ. SNOMED-based knowledge representation. Method Inform Med 1995; 34: 209-13.
• 16 International Classification of diseases and related health problems (tenth revision). Geneva: World Health Organisation; 1993
• 17 Brown EG, David M. The Medical Dictionary for Regulatory Activities (MedDRA): a survey of regulatory authorities’ approaches to implementation. Int J Pharmaceut Med 1998; 1: 23-7.
• 18 Brown EG, Clark E. Evaluation of MEDDRA in representing medicinal product data sheet information. Pharmaceut Med 1996; 10: 111-8.