Project description
Enhanced health data integration improving remote care health technology assessment
Greater quality, accessibility and sharing of health data could be a tremendous enabler of better healthcare, improved patient outcomes, and reduced costs for healthcare systems and individuals. The EU-funded IDERHA project plans to develop an open platform for multi-modal health data aggregation and analysis to address this and enable enhanced regulatory and health technology assessment-based decision-making recommendations. Focusing on lung cancer, the team will use retrospective data in a remote patient care context. Work will include AI/machine learning (ML)-based lung cancer risk profiling using patients’ electronic health records and improving computerised tomography image-based AI/ML to provide lung cancer risk prediction, while investigating the possibility of personalised prognosis of disease progression.
Objective
IDERHA will address the key obstacles to achieving appropriate access, sharing, use and reuse of lung cancer data, and thus enable enhanced regulatory and HTA decision-making recommendations for integrated health research, with the aim to improve care and better meet the needs of patients and health care professionals. The IDERHA open platform for multi-modal health data will enhance innovation in EU health care systems and is directly scalable by means of connecting additional systems, data sources and additional services and tools. It will extend and elaborate standards in semantic interpretation, data quality, ethics and transferability to ensure the harmonisation of heterogeneous data sources and wider health data reuse. Use cases positioned along the lung cancer patient pathway will be implemented using retrospective data and in a remote patient care context. These practical implementations will demonstrate the added value of multi-modal data aggregation and analysis with impacts expected on public health, patient burden, health outcomes and cost. We will perform AI/ML based lung-cancer risk profiling using patient`s EHRs, and improved CT image- based AI/ML to provide risk prediction of potential lung cancer patients, and explore the possibilility of personal prognosis of disease progression. Using patient monitoring and engagement, including digital biomarker, PROMs, and connected devices, the IDERHA platform will enable remote patient monitoring, and provide data for joint patient-health professional decision making. Along with health care stakeholders, IDERHA will develop consensus policy recommendations for appropriate data sharing to enable multi-stakeholder research. Informed by Patient Advisory Groups, we will address critical obstacles and issues to heterogeneous health data primary and secondary use. Regulatory and HTA agencies will be engaged to create criteria for assessing the acceptability of heterogeneous health research results in regulatory and HTA decision-making.
Fields of science
- medical and health scienceshealth sciencespublic health
- medical and health sciencesclinical medicineoncologylung cancer
- medical and health scienceshealth sciencespersonalized medicine
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologymedical engineeringwearable medical technology
Keywords
Programme(s)
- HORIZON.2.1 - Health Main Programme
- HORIZON.2.1.7 - Innovative Health Initiative
Funding Scheme
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinator
80686 Munchen
Germany
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Participants (32)
22851 Norderstedt
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
HP12 4EG High Wycombe
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
41470 Neuss
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
46582 WARSAW IN
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3521 AL Utrecht
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4365 ESCH-SUR-ALZETTE
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9860 OOSTERZELE
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02150 Espoo
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4354 ESCH SUR ALZETTE
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2060 Antwerpen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1090 Wien
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1200 Wien
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BRUSSELS Brussels / Bruxelles
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15703 Santiago De Compostela
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41071 Sevilla
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
41013 Sevilla
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46026 Valencia
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81675 Muenchen
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1090 Wien
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2300 Kobenhavn S
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5684 PC Best
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22307 Hamburg
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HG3 IPY Harrogate
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8800 Viborg
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4070 Basel
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14197 Berlin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1210 Bruxelles / Brussel
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8152 Glattpark
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94250 GENTILLY
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2333 CN Leiden
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2340 Beerse
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1831 Machelen
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Partners (4)
4052 Basel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1003 Lausanne
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3008 Bern
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M1 4BT Manchester
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