Descripción del proyecto
Los datos masivos ayudan en la transición de paciente de cáncer a superviviente
La transición de paciente de cáncer a superviviente de cáncer debería planificarse y coordinarse para garantizar que los pacientes reciban unos cuidados personalizados, coordinados y de alta calidad. El proyecto financiado con fondos europeos PERSIST está desarrollando un sistema que facilita la autoterapia, capaz de identificar los resultados que requieren una intervención profesional. Su sistema emplea la tecnología de datos masivos y unos algoritmos de análisis novedosos que pueden integrarse fácilmente en los historiales médicos electrónicos y otras fuentes de datos clínicos. En general, el proyecto tiene como objetivo mejorar las estrategias de gestión, intervención y prevención para reducir los efectos secundarios y evitar enfermedades secundarias. Su objetivo a largo plazo es reducir la carga socioeconómica relacionada con el cuidado de los supervivientes de cáncer creando un sistema dinámico de apoyo a las decisiones y aprovechando al máximo los modelos predictivos.
Objetivo
PERSIST aims at developing an open and interoperable ecosystem to improve the care of cancer survivors. The key results to be achieved by partners are: increased self-efficacy and satisfaction with care as well as reduced psychological stress for a better management of the consequences of the cancer treatment and the disease, resulting in an improvement in health and wellbeing and a faster integration into the labour market, where applicable, compared to usual care (KR1); increased effectiveness in cancer treatment and follow-up by providing prediction models from Big Data that will support decision-making and contribute to optimal treatment decisions with positive consequences in the QoL and the health status of survivors (KR2); and improved information and evidence to advance the efficacy of management, intervention and prevention policies/strategies in order to timely treat side effects and, if possible, avoid secondary diseases and fatal events. The long-term result will be to reduce the socio-economic burden related to cancer survivors’ care (KR3). The ecosystem proposed consists of a Big Data platform to be built on top of an open infrastructure from one of the partners and a mHealth application for patients. The main building blocks to be developed are a multimodal sensing network running on a smart phone that will collect relevant data regarding the wellbeing of the patient; predictive models from anonymised health data from thousands of breast and colorectal patients; and modules essential for the development of a decision support system, which will employ the predictive models mentioned. Furthermore, PERSIST will contribute to establish evidence on the use of liquid biopsy techniques to the follow-up of cancer patients treated with curative purposes. A pilot study involving 160 patients and 32 health care professionals will be decisive to establish a co-creation methodology ranging from the earlies phases of the project throughout its conclusion.
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata sciencebig data
- medical and health sciencesclinical medicineoncology
- natural sciencesbiological sciencesecologyecosystems
- social scienceseconomics and businessbusiness and managementemployment
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SC1-DTH-2019
Régimen de financiación
RIA - Research and Innovation actionCoordinador
36214 VIGO
España