Project description
Big data aids in the transition from cancer patient to survivor
The transition from cancer patient to cancer survivor should be planned and coordinated to ensure patients receive high-quality, coordinated and personalised care. The EU-funded PERSIST project is developing a system that supports self-care and can identify outcomes that require professional intervention. Its system uses big data technology and novel analysis algorithms that can be easily integrated into electronic health records and other sources of clinical data. Overall, the project aims to improve the management, intervention and prevention strategies to reduce side effects and prevent secondary diseases. Its long-term goal is to reduce the socio-economic burden related to cancer survivors’ care by creating a dynamic decision support system and making maximum use of predictive models.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence
- natural sciences computer and information sciences data science big data
- medical and health sciences clinical medicine oncology
- natural sciences biological sciences ecology ecosystems
- social sciences economics and business business and management employment
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being
MAIN PROGRAMME
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H2020-EU.3.1.5.1. - Improving halth information and better use of health data
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H2020-EU.3.1.3.2. - Transferring knowledge to clinical practice and scalable innovation actions
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SC1-DTH-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
36214 VIGO
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.