Supervised analysis of drug prescription sequences.
Hospitals have at their disposal large databases that may be considered for reuse. The objective of this work is to evaluate the impact of a drug on a specific laboratory result by analyzing these data. This analysis first involves building a record of temporal patterns, including medical context, of drug prescriptions. Changes in outcome due to these patterns of drug prescription are assessed using short phases of the inpatient stay compared to monotonous changes in the laboratory result. To illustrate this technique, we investigated potassium chloride supplementation and its impact on kalemia. This method enables us to assess the impact of a drug (in its frequent context of prescription) on a laboratory result. This kind of analysis could play a role in post-marketing studies.
Public Health Department, Lille University Hospital; UDSL EA 2694; Univ Lille Nord de France; F-59000 Lille, France.
Grégoire
G
Ficheur
Emmanuel
E
Chazard
Béatrice
B
Merlin
Laurie
L
Ferret
Michel
M
Luyckx
Régis
R
Beuscart
D001185:Artificial Intelligence; D016303:Clinical Pharmacy Information Systems / Q000706:statistics & numerical data*; D057225:Data Mining / Q000379:methods*; D055695:Electronic Prescribing / Q000706:statistics & numerical data*; D005602:France; D006801:Humans; D007008:Hypokalemia / Q000175:diagnosis / Q000188:drug therapy* / Q000453:epidemiology; D050316:Medical Order Entry Systems / Q000706:statistics & numerical data*; D011189:Potassium Chloride / Q000627:therapeutic use; D016896:Treatment Outcome
D011189:Potassium Chloride