Projects


Clinical applications projects
France   OncoDoc
Decision support system for the management of breast cancer
keywords main objectives
Evidence-based medicine, clinical practice guidelines, knowledge representation, decision trees

Development and evaluation of a guideline-based decision support-system for the management of breast cancer.

clinical domains
Breast cancer

description
OncoDoc is a decision support system designed to provide best therapeutic recommendations for breast cancer patients.

OncoDoc combines two technical approaches: decision trees and hypertext. The system is not designed to be run as an executable program; the user browses clinical knowledge represented as decision trees and the relevant patient data.

OncoDoc has also been used as a computer-based eligibility screening system in breast cancer clinical trials.

For more details, see abstracts below.

 

references

Seroussi B, Bouaud J. Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials. Artif Intell Med. 2003 Sep-Oct;29(1-2):153-67.

[PubMed]   []

" 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. "


Bouaud J, Seroussi B. Impact of site-specific customizations on physician compliance with guidelines. Stud Health Technol Inform. 2002;90:543-7.

[PubMed]   []

" Developed and implemented in the Service d'Oncologie Medicale Pitie-Salpetriere (Paris, France) as a computer-based guideline system on breast cancer, OncoDoc has already demonstrated high physician compliance rates. To assess how the system could be reused in another institution which was not involved in the development process, we have conducted a new experimentation at the Institut Gustave Roussy. Minor site-specific customizations of the knowledge base have been performed. After four months, 127 cases were recorded. Results showed that there was no significant difference of physician compliance with OncoDoc (85%) when site-specific recommendations were, or not, available, although local recommendations were chosen preferably (55%), thus legitimating the adaptation. "


Bouaud J, Seroussi B, Antoine EC, Zelek L, Spielmann M. A before-after study using OncoDoc, a guideline-based decision support-system on breast cancer management: impact upon physician prescribing behaviour. Medinfo. 2001;10(Pt 1):420-4.

[PubMed]   []

" Guideline-based decision support systems have been developed to influence the prescribing behaviour of clinicians, but they have not yet shown to increase physician compliance with best practices in routine. OncoDoc is a non-automated system that allows flexibility in guideline interpretation to obtain best patient-specific recommendations at the point of care. OncoDoc is applied to breast cancer management. We have experimented the system at the Institut Gustave Roussy with a before-after study in which treatment decisions for breast cancer patients were measured before and after using the system in order to evaluate its impact upon physicians' prescribing behaviour. After 4 months, 127 decisions were recorded. Physicians compliance with OncoDoc was significantly improved (p < 10(-4) ) to reach 85.03% after using the system. Comparison of initial and final decisions showed that physicians modified their prescription in 31% of the cases. Clinical trial accrual rate increased of 50%, though not statistically significant because estimated on small figures. "

Seroussi B, Bouaud J, Antoine EC. ONCODOC: a successful experiment of computer-supported guideline development and implementation in the treatment of breast cancer. Artif Intell Med. 2001 Apr;22(1):43-64.

[PubMed]   [sciencedirect.com]

" Originally published as textual documents, clinical practice guidelines have poorly penetrated medical practice because their editorial properties do not allow the reader to easily solve, at the point of care, a given medical problem. However, despite the proliferation of implemented clinical practice guidelines as decision support systems providing an easy access to patient-centered information, there is still little evidence of high physician compliance to guidelines recommendations. Apart from physicians' psychological reluctance, the incompleteness of guideline knowledge and the impreciseness of the terms used, another reason may be that, although suited to average patients, clinical practice guideline recommendations are not a substitute for the physician-controlled clinical judgement that should be applied to each actual individual patient. Therefore, computer-based approaches based on the automation of context-free operationalization of guideline knowledge, although providing uniform optimal strategies to problem-focused care delivery, may generate inappropriate inferences for a specific patient that the physician does not follow in practice. Rather than providing automated decision support, ONCODOC allows the clinician to control the operationalization of guideline knowledge through his hypertextual reading of a knowledge base encoded as a decision tree. In this way, he has the opportunity to interpret the information provided in the context of his patient, therefore, controlling his categorization to the closest matching formal patient. Experimented in life-size ONCODOC demonstrated good appropriation of the system by physicians with significantly high scores of compliance. We successfully tested the implemented strategy and the knowledge base in a second medical institution, giving then a noticeable example of reuse and sharing of encoded guideline knowledge across institutions. "

Seroussi B, Bouaud J, Antoine EC. Users' evaluation of OncoDoc, a breast cancer therapeutic guideline delivered at the point of care. Proc AMIA Symp. 1999;:384-9.

[PubMed]   [paper - AMIA]

" Despite the dissemination of computer-based "clinical practice guidelines" as decision support systems, low practical compliance rates are still observed. The reason commonly invoked is that such recommendations, suited to average patients, are not rules for all the patients. Rather than providing automatic decision support, OncoDoc allows the clinician to operationalize the implemented breast cancer therapeutic expertise through his hypertextual reading of the knowledge base. In this way, he has the opportunity to interpret the information provided in the context of his patient therefore controlling his categorization to the closest appropriate "average patient". After a four-month real-life experimentation of the system, a survey was conducted among the users. The observed compliance, significantly higher than the best figures found in the literature, and the clinicians objective and subjective evaluation of the system reinforced the implementation choices adopted in OncoDoc. "

start date end date location support
    France  
contact links

Brigitte Séroussi
brigitte.seroussisap.ap-hop-paris.fr

Jacques Bouaud jacques.bouaudsap.ap-hop-paris.fr

STIM/DSI/AP-HP
Bâtiment Blaise Pascal
Hôpital Broussais
96 rue Didot
75014 PARIS, France

 
acknowledgements
Brigitte Séroussi, Jacques Bouaud
Entry in directory: May 12 2004
Last main update: June 04 2005

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