Determining and Evaluating the Dissemination and Exploitation Plans and Activities for the CrowdHEALTH Project: The Role of the Impact Creation Board.

Determining and evaluating the dissemination and exploitation plans and activities of research projects can be a challenging task. This paper presents an overview of the role of the Impact Creation Board in the identification and assessment of the dissemination and exploitation plan and activities for the CrowdHEALTH project "Collective wisdom driving public health policies". Towards this end, a stepwise methodology was applied and the feedback from the Impact Creation Board members, and results of each step were analyzed and shared with the consortium.

The Dissemination and Communication Plan and Activities of the CrowdHEALTH Project: "Collective Wisdom Driving Public Health Policies".

Determining the dissemination and communication plans and activities of research projects is an important part for transferring research outputs to the target audience. This paper presents the dissemination and communication plans and activities of the CrowdHEALTH project. Towards this end, the methodology and results are presented in this paper.

Addressing Ethics in the CrowdHEALTH RDI Project Concerned with Large Amounts of Data to Support Health Policies.

CrowdHEALTH is a R&D project involving high volumes of health-related data. Although partners have been complying with all regulatory and ethical issues according to their context in different EU countries, ethical aspects related to the adoption of the project results and possible impact on individuals and populations were not in the project agenda from the outset. Inspired by an increasing number of initiatives in the EU concerned with aspects related to ethics in research and innovation, future plans consider investigating the level of awareness of all stakeholders involved in the project about the potential implications of their actions in terms of ethical acceptance of project outcomes.

Modelling and Evaluation of Policies.

Introduction: NCDs (non-communicable diseases) are considered an important social issue and a financial burden to the health care systems in the EU which can be decreased if cost-effective policies are implemented, along with proactive interventions. The CrowdHEALTH project recognizes that NCD poses a burden for the healthcare sector and society and aims at focusing on NCDs' public health policies.

Aim: The aim of this paper is to present the concept of Public Health Policy (PHP), elaborate on the state-of-the-art of PHPs development, and propose a first approach to the modeling and evaluation of PHPs used in a toolkit that is going to support decision making, the Policy Development Toolkit (PDT).

Advanced Interoperability Techniques: Structure Mapping Service in CrowdHEALTH Project.

Introduction: Due to healthcare information systems interoperability issues, health-related events may be missed. Numerous techniques based on medical standards and technologies have been recommended to address this challenge. Nevertheless, these techniques do not follow a holistic approach.

The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

Introduction: With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology interoperability and the large amounts of health-related data, data exploitation has not reached its full potential yet.

Generating and Knowledge Framework: Design and Open Specification.

Introduction: The Information Aggregation (IA) component manages streaming and batch data deriving from a multitude sources in a scalable, efficient and reliable way to create Holistic Health Records (HHRs).Within this context, the IA component combines a number of diverse data sources into a common format and stores information in an available form to be used for analytics, simulations and decision making.

Aim: The purpose of this paper is to provide an overview of the CrowdHEALTH project and the technical architecture of the CrowdHEALTH platform in order to put the aforementioned IA mechanism in context.

Interoperability Techniques in CrowdHEALTH project: The Terminology Service.

Introduction: Healthcare information systems' (HIS) lack of interoperability remains a challenge and a barrier for important health-related events detection. While relevant techniques are based on medical standards and technologies, these techniques do not follow a holistic approach. The creation of a set of tools that fulfils the needs of interoperability is needed.

Disseminating Research Outputs: The CrowdHEALTH Project.

Introduction: Dissemination benefits come from the outputs integration and implementation by the key audience, who will also determine the relevance and usability of the disseminated content.

Aim: One of the CrowdHEALTH project's objectives is the transition from patient health records towards the Holistic Health Records (HHRs) and Social HHR. The CrowdHEALTH project aims at integrating high volumes of health-related data collected from various sources to support policy-making decisions.

Data Sources and Gateways: Design and Open Specification.

Introduction: With With the proliferation of available ICT services, several sensors and health applications have become ubiquitous, while many applications have been developed to detect certain health conditions and early signs of disease. Currently, all these services operate independently, and the available data is heterogeneous with limited value gained from its exploitation.

Aim: The Data Sources and Gateways component aims at providing an abstracted and unified API to support the data accumulation from various sources including healthcare organisations, biosensors, laboratories and mobile applications.

The Integrated Holistic Security and Privacy Framework Deployed in CrowdHEALTH Project.

Introduction: Individuals and healthcare providers need to trust that the EHRs are protected and that the confidentiality of their personal information is not at stake.

Aim: Within CrowdHEALTH project, a security and privacy framework that ensures confidentiality, integrity, and availability of the data was developed.

Methods: The CrowdHEALTH Security and Privacy framework includes Privacy Enhancing Technologies (PETs) in order to comply with the GDPR EU laws of data protection.

Disseminating Research Findings: The Crowdhealth Paradigm.

The CrowdHEALTH project intends to integrate high volumes of health-related heterogeneous data from multiple sources with the aim of supporting policy making decisions. The European Federation of Medical Informatics supports the development of an effective Communication and Collaboration Plan.A dissemination strategy has been applied for this purpose considering appropriate messages, target audience, tools, and channels to achieve the highest impact and the first results of social media dissemination are presented here.

CrowdHEALTH: Big Data Analytics and Holistic Health Records.

The aim of this paper is to present examples of big data techniques that can be applied on Holistic Health Records (HHR) in the context of the CrowdHEALTH project. Real-time big data analytics can be performed on the stored data (i.e.

CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health.

Today's rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transformed into HHRs clusters capturing the clinical, social and human context of population segments and as a result collective knowledge for different factors.