Optimising evidence-based knowledge for enlightened decisions
European Commission Projectsadmin2020-01-19T18:26:05+02:00
The current economic and demographic climate emphasises more than ever the high demand for value-added technologies and integrated healthcare solutions and programs created and coordinated on the international level. Very active in European research, Data Mining International is leading or participating as a partner in several international projects funded by the European Commission.
ECHOUTCOME (FP7): European Consortium in Healthcare Outcomes and Cost-Benefit Research
This innovative project studied the robustness of the QALY (Quality Adjusted Life Years) outcome, currently used by several health technology assessment (HTA) authorities in the UK, Canada and Australia.
The consortium was led by Dr Ariel Beresniak from Data Mining International (Switzerland) and was composed of the University of Bocconi (Italy), the Université Libre de Bruxelles (Belgium), the French Society of Health Economics (SFES), Cyklad Group (France), Lyon Ingénierie Projets and the Claude Bernard University (France). Having studied the underlying theoretical assumptions of the QALY outcome, the project concluded that the QALY outcome is flawed, leads to inconsistent and divergent results and should be avoided for health decision making.
European cost-effectiveness guidelines should be considered as a step forward towards establishing transparent HTA practices in Europe. Further research is needed to assess the feasibility, reliability and validity of more flexible, clinically meaningful and robust methodologies.
The full article about the project’s conclusions was published in Pharmacoeconomics. 2014 Sep 18.
Dr Beresniak held a presentation about QALYS’ inadequacies and unethical character during the Ethics Prize Seminar organised by the Swedish Council on Medical Ethics in Stockholm in October 2016. The full broadcast can be viewed here: https://www.youtube.com/watch?v=xBSryQGk-fI.
FLURESP (SANCO): Cost-Effectiveness assessment of European influenza human pandemic alert and response strategies
This public health project assessed the cost-effectiveness of 18 public health interventions and strategies against flu outbreaks and pandemic in Europe.
The FLURESP consortium, led by Dr Ariel Beresniak, was composed by key European experts in Flu alert and response strategies as well as in Public Health and Health Economics advanced methodology. The objective of the FLURESP consortium was to redefine main human pandemic scenarios at the European level, describe and cluster possible response strategies and assess these response strategies in the frame of multi-criteria and cost-effectiveness analyses, taking into account lessons from the 2009 pandemic. While human pandemic scenarios and main related responses are well documented, they have never been assessed and ranked using both multi-criteria and cost-effectiveness approaches.
The FLURESP consortium proposes an integrated approach of Decision Making and The European FLURESP guidelinesoffer new evidence-based cost-effective strategies for the purpose of preparedness and constitutes a premiere at the European and global level. This will allow European public authorities to drastically improve their ability to better address the various categories of threats and can support European member states to select the most appropriate and efficient public response should such need arise.
EHR4CR (IMI): Electronic Health Records for Clinical Research – Business Model Innovation
The EHR4CR project, funded by the European Commission (FP7) and EFPIA in the frame of the Innovative Medicines Initatives (IMI), runs over 4 years (2011-2014) and involves 34 partners (academic and industrial), where Data Mining International has a key sub-contractor role. This initiative is – to date – one of the largest public-private partnerships aiming at providing adaptable, reusable and scalable solutions (tools and services) for reusing data from Electronic Health Record systems for Clinical Research. These records offer large opportunities for the advancement of medical research, the improvement of healthcare, and the enhancement of patient safety. Data Mining International has developed new approaches for designing specific business modelling and Cost-Benefit Assessments that will be applied in this innovative project.
SEMANTICHEALTHNET(FP7): Semantic interoperability of clinical and biomedical knowledge
The SemanticHealthNet project is developing a scalable and sustainable pan-European organisational and governance process for the semantic interoperability of clinical and biomedical knowledge, to help ensure that Electronic Health Records (EHR) systems are optimised for patient care, public health and clinical research across healthcare systems and institutions.
Through a clinically-driven workplan, exemplified in cardiovascular medicine, SemanticHealthNet will capture the needs for evidence-based, patient-centered integrated care and for public health, encapsulating existing European consensus in the management of chronic heart failure and cardiovascular prevention. The project will generalise and formalise the methods and best practices in how to combine and adapt computerised resources to support semantic interoperability, and how these can be developed and supported at scale. Health authorities, clinical professionals, ministeries, vendors, purchasers, insurers are involved to ensure that the project approach and results are realistically adoptable and viable.
Data Mining International is specifically in charge of the development of the business model to justify strategic investments, including the opportunity costs for key stakeholders. The consortium comprises more than 40 internationally recognised experts, including from USA and Canada, ensuring a global impact.
1) forge a partnership with complementary perspectives, knowledge and experiences to address effectively scientific and societal challenges raised by pandemics and associated crisis management
2) explore and map SiS-related issues in global pandemics
3) define and test a participatory and inclusive strategy to succeed
4) identify necessary resources to make sustainable the action after the project completion.
ASSET combines public health, vaccine and epidemiological research, social and political sciences, law and ethics, gender studies, science communication and media, in order to develop an integrated, transdisciplinary strategy, which will take place at different stages of the research cycle, combining local, regional and national levels.
VALUeHEALTH (Horizon2020): Establishing the value and business model for sustainable eHealth services in Europe
The VALUeHEALTH project will deliver a business model and sustainability plan for developing European eHealth Services. In conjunction with the business plan, a deployment roadmap and scale up strategies will be developed in order to provide European Member States, ΙΤ industry and other key players in cross border eHealth with sound business cases and direction for targeted investments in the adoption of interoperable eHealth systems and services, thus making a major contribution to the planning and road-mapping of the Connecting Europe Facility.