Learning Healthcare System for the Prescription of Genetic Testing in the Gynecological Cancer Risk

Autor: Cristina, Suárez-Mejías, Alicia, Martínez-García, María Ángeles, Martínez-Maestre, José Manuel, Silvan-Alfaro, Jesús, Moreno Conde, Carlos Luis, Parra-Calderón
Rok vydání: 2017
Předmět:
Zdroj: Studies in health technology and informatics. 235
ISSN: 1879-8365
Popis: Clinical evidence demonstrates that BRCA 1 and BRCA2 mutations can develop a gynecological cancer but genetic testing has a high cost to the healthcare system. Besides, several studies in the literature indicate that performing these genetic tests to the population is not cost-efficient. Currently, our physicians do not have a system to provide them the support for prescribing genetic tests. A Decision Support System for prescribing these genetic tests in BRCA1 and BRCA2 and preventing gynecological cancer risks has been designed, developed and deployed in the Virgen del Rocío University Hospital (VRUH). The technological architecture integrates a set of open source tools like Mirth Connect, OpenClinica, OpenCDS, and tranSMART in addition to several interoperability standards. The system allows general practitioners and gynecologists to classify patients as low risk (they do not require a specific treatment) or high risk (they should be attended by the Genetic Council). On the other hand, by means of this system we are also able to standardize criteria among professionals to prescribe these genetic tests. Finally, this system will also contribute to improve the assistance for this kind of patients.
Databáze: OpenAIRE