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AEGLE Report Summary

Project ID: 644906
Funded under: H2020-EU.

Periodic Reporting for period 1 - AEGLE (AEGLE (Ancient Greek: Αἴγλη) – An analytics framework for integrated and personalized healthcare services in Europe)

Reporting period: 2015-03-01 to 2016-02-29

Summary of the context and overall objectives of the project

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.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

During this period seven out of eight WPs were up and running. The work performed in their context was multi-dimensional covering all aspects from user requirements to system integration as well as dissemination and exploitation activities. One milestone was due in this period, concerning the definition of the Health Technology Assessment from on M12. Overall the project submitted 13 deliverables, reflecting the work performed during this period. The WPs running during this period are the following:

- WP1: Project Management
- WP2: AEGLE marketing campaign (dissemination)
- WP3: Business Model(s) Development and Evaluation
- WP4: AEGLE System and Services Design
- WP5: Services Adaptation
- WP6: Continuous Integration and Business Validation
- WP7: Standards Compliance and Legal Assessment

The main results produced during this period are the following:
- The HTA framework and initial business models
- The first system design, including analysis of the AEGLE user scenarios
- The early AEGLE’s system components
- The positive ethical approval for the use of data within the scope of AEGLE platform
- The dissemination kit and channels used for performing the first dissemination activities

AEGLE follows an iterative development approach based on the build-measure-learn methodology (DoW) (See Build Measure Learn figure)

The work carried out during this period concerns the first iteration of this methodology, aiming to the production of the first prototype (M15) and its validation process. The main contractual milestone for this period was the delivery of the business and HTA framework on M12. The milestone was achieved in the given timeframe, aligning with what suggested in the DoW.

In order to achieve this, a set of internal milestones were defined including: (1) the definition of user requirements and system design (D4.1), (2) the components’ implementation (D5.1) and (3) the definition of the integration plan and the preparation of validation studies (D6.1). Moreover marketing and project branding activities were executed (WP2) producing AEGLE’s dissemination material that will be used in combination with the validation of the prototypes. The rational of the “Minimum Viable Product” is followed for each prototype in AEGLE meaning that the product has just enough features to gather validated learning about the product and its continued development. The features are identified from the AEGLE users participating in the consortium as well as from the feedback collected during the validation phase and the views of external stakeholders. In that way the product development is accelerated reaching a high technical maturity, towards its commercial exploitation.

The business models will be based on the results of the validation process and the initial version of them will be ready on M18 (D3.2). Initial work using the business model canvas ( has been already performed in the context of WP3 and it is presented in deliverable D3.1. There two potential business models are examined in relation to the ways the AEGLE platform shall be used. These outputs are combined with our initial SWOT analysis. Currently the models assume the outputs will be exploited via a start-up. However in D3.2 individual exploitation plans will be also included.

Brief descriptions of the objectives, the achievements and the next steps of AEGLE as a whole and the running WP are given in the following sections. These descriptions are linked to the submitted deliverables if more information is required.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

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.

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