Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials. - Université Pierre et Marie Curie Accéder directement au contenu
Article Dans Une Revue Artificial intelligence in medicine Année : 2003

Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials.

B Séroussi

Résumé

While clinical trials offer cancer patients the optimum treatment, historical accrual of such patients has not been very successful. OncoDoc is a decision support system designed to provide best therapeutic recommendations for breast cancer patients. Developed as a browsing tool of a knowledge base structured as a decision tree, OncoDoc allows physicians to control the contextual instantiation of patient characteristics to build the best formal equivalent of an actual patient. Used as a computer-based eligibility screening system, depending on whether instantiated patient parameters are matched against guideline knowledge or available clinical trial protocols, it provides either evidence-based therapeutic options or relevant patient-specific clinical trials. Implemented at the Gustave Roussy Institute and routinely used at the point of care during a 4-month period, it significantly improved physician compliance with guideline recommendations and enhanced physician awareness of open trials while increasing patient enrollment to clinical trials by 50%. But, when analyzing reasons of non-accrual of potentially eligible patients, it appeared that physicians' psychological reluctance to refer patients to clinical trials, measured during the experiment at 25%, may not be resolved by the simple dissemination of clinical trial information at the point of care.
Fichier non déposé

Dates et versions

hal-02489195 , version 1 (24-02-2020)

Identifiants

  • HAL Id : hal-02489195 , version 1

Citer

B Séroussi, J Bouaud. Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials.. Artificial intelligence in medicine, 2003, 29, pp.153-67. ⟨hal-02489195⟩
17 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More