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AEGLE (Ancient Greek: Αἴγλη) – An analytics framework for integrated and personalized healthcare services in Europe

Periodic Reporting for period 3 - AEGLE (AEGLE (Ancient Greek: Αἴγλη) – An analytics framework for integrated and personalized healthcare services in Europe)

Reporting period: 2017-09-01 to 2018-08-31

AEGLE aims to generate value from the healthcare data value chain data with the vision to improve translational medicine and facilitate personalized and integrated care services overall improving healthcare at all levels, to promote data-driven research across Europe and to serve as an enabler technology platform enabling business growth in the field of big data analytics for healthcare. AEGLE project will build an innovative ICT solution addressing the whole data value chain for health based on: cloud computing enabling dynamic resource allocation, HPC infrastructures for computational acceleration and advanced visualization techniques. AEGLE will:

- Realize a multi-parametric platform using algorithms for analyzing big bio-data including features such as volume properties, communication metrics and bottlenecks, estimation of related computational resources needed, handling data versatility and managing velocity

- Address the systemic health big bio-data in terms of the 3V multidimensional space, using analytics based on PCA techniques

- Demonstrate AEGLE’s efficiency through the provision of aggregated services covering the 3V space of big bio-data. Specifically it will be evaluated in: a) big bio-streams where the decision speed is critical and needs non-linear and multi-parametric estimators for clinical decision support within limited time, b) big-data from non-malignant diseases where the need for NGS and molecular data analytics requires the combination of cloud located resources, coupled with local demands for data and visualization, and finally c) big-data from chronic diseases including EHRs and dedication, with needs for quantified estimates of important clinical parameters, semantics’ extraction and regulatory issues for integrated care

- Bring together all related stakeholders, leading to integration with existing open databases, increasing the speed of AEGLE adaptation.

- Build a business ecosystem for the wider exploitation and targeting on cross-border production of custom multi-lingual solutions based on AEGLE.

Overall AEGLE provides a PaaS (Platform-as-a-Service) for the management of big-bioclinical data that fosters innovation and new business development activities in healthcare.
During this period (M13 - M30) the work was focused on the production of AEGLE prototypes, the continuation of technical developments, the performance of early HTA activities and the enhancement of the promotion and dissemination initiatives. More specifically during this period the work involved the following:
- Release of two AEGLE prototypes (first & second versions) (related deliverables: D6.2 and D6.3)
- Extension of user requirements and performance of validation studies regarding AEGLE prototypes (related deliverables: D4.2 and D4.3)
- Performance of technical design and development activities, taking into account the new requirements, leading the production of new prototypes (related deliverables: D4.2 D4.3 D5.3 and D5.4)
- Performance of business-related and early HTA activities (related deliverables D3.2 and D3.3)
- Enhancement of promotion and dissemination activities (related deliverables D2.4 and D3.3)
- Resolution of issues regarding approvals from DPAs and constant assessment on the legal and ethical fields (this tasks are horizontal and are not reflected in a specific deliverable)

Additionally during this period steps regarding the definition of a viable exploitation schema for the AEGLE results, as well as the first initiatives and contacts for attracting potential stakeholders were made. This is combined with a concrete plan for the exploitation activities during that period.
In this early stage, AEGLE’s advances beyond the state of the art are towards the following directions:

1. The provision of more advanced mechanisms for the data analysis

2. The access to multi-disciplinary sources of data, enabling their combination for the extraction of complex results

3. The ability to provide insights and enable the perception formation concerning the evolution, relation and correlation of various medical parameters (it depends on the case)

4. The business models taking into account both research as well as commercialization purposes enabling the system’s sustainability after the end of the project.

In the long term these are expected to lead in increased level of education and acceptance of ICT solutions in health care, improved disease management and treatment, improved collaboration between different healthcare stakeholders and increased confidence in decision support systems. These parameters are key factors supporting the acceleration of the production (and adoption) of electronic solutions in healthcare, which are considered crucial for economic growth and well the development of SMEs in that field.

The impact that AEGLE brings will be accurately quantified as the progress progresses through its validation phases, and the development of corresponding business strategies. Thus this process is dynamic and more elements are expected to be added in the future.

Currently the main implications faced during the AEGLE’s progress concern ethical and legal aspects that may affect the wider addition of AEGLE, as well as the user perception regarding the use of sensitive data. Despite the common directives imposed by the EC the local (in country level) legal frameworks differ and they are quite fragmented. The anonymization techniques as well as the work performed in WP7 will enable AEGLE consortium to tackle these challenges leading to the wider adoption of the platform and the maximum exploitation of project’s features. Finally, the user acceptance and HTA studies, the constant involvement of users during the development process, and the iterative business evaluation of the system are seen as key elements for the system sustainability in the future and the confrontation of user hesitations regarding the technological solution.