Collective Wisdom Driving Public Health Policies Del. no. – D2.1 State of the Art and Requirements Analysis v1 Project Deliverable This project has received funding from the European Union’s Horizon 2020 Programme (H2020-SC1-2016-CNECT) under Grant Agreement No. 727560 D2.1 State of the Art and Requirements 29/09/2017 Analysis v1 D2.1 State of the Art and Requirements Analysis v1 Work Package: WP2 Due Date: 01/09/2017 Submission Date: 29/09/2017 Start Date of Project: 01/03/2017 Duration of Project: 36 Months Partner Responsible of Deliverable: SIEMENS Version: 1.0 Final Draft Ready for internal Review Status: Task Leader Accepted WP leader accepted Project Coordinator accepted Dimosthenis Kyriazis (UPRC), Ilias Maglogiannis (UPRC), Christos Xenakis (UPRC), Argyro Mavrogiorgou (UPRC), Athanasios Kiourtis (UPRC), George Peppas (UPRC), Carlos Cavero (ATOS), Santiago Aso (ATOS), Antonio De Nigro (ENG), Francesco Torelli (ENG), Domenico Martino (ENG), George Moldovan (SIEMENS), Kosmin- Septimiu Nechifor (SIEMENS), Salvador Tortajada Velert (HULAFE), Sokratis Nifakos (KI), Tanja Tomson (KI), Jan Janssen (DFKI), Serge Autexier (DFKI), Petrina Smyrli (BIO), Andreas Menychtas (BIO), Author name(s): Christos Panagopoulos (BIO), Chris Orton (ICE), Usman Wajid (ICE), Thanos Kosmidis (CRA), Ricardo Jimenez-Peris (LXS), Patricio Martinez (LXS), Marta Patino-Martinez (UPM), Rafael Fernandez (UPM), Michael Boniface (IT-INN), Vegard Engen (IT- INN), Daniel Burns (IT-INN), Mitja Lustrek (JSI), Maroje Soric (ULJ), Patrick Weber (EFMI), John Mantas (EFMI), Konstantinos Perakis (SILO), Spyros Mantzouratos (SILO), Stelios Pantelopoulos (SILO), Dalibor Stanimirovic (NIJZ) Reviewer(s): Carlos Cavero (ATOS), Santiago Aso (ATOS), Mitja Lustrek (JSI) Nature: R – Report D – Demonstrator PU – Public Dissemination level: CO – Confidential RE – Restricted REVISION HISTORY Version Date Author(s) Changes made 0.1 04/07/2017 SIEMENS Initial ToC 0.2 04/07/2017 UPRC Updated ToC & Assignments 0.3 11/08/2017 SIEMENS Initial inputs integrated 0.4 21/08/2017 SIEMENS Updated inputs integrated 0.5 23/08/2017 SIEMENS Fixed references 0.6 28/08/2017 SIEMENS Version for internal review submitted 0.7 04/09/2017 SIEMENS Integrated new inputs based on review 2/171 D2.1 State of the Art and Requirements 29/09/2017 Analysis v1 comments 0.8 18/09/2017 SIEMENS Integrated additional inputs based on review comments 1.0 29/09/2017 SIEMENS Final version 3/171 D2.1 State of the Art and Requirements 29/09/2017 Analysis v1 Executive Summary This ample report examines the state of the art in the realization the mechanisms and algorithms the CrowdHEALTH platform – a secure ICT platform that will incorporate the collective knowledge about health that emerges from multiple heterogeneous source - will be based on, namely of the holistic health care records, of the heterogeneous data aggregation systems and algorithms, of the big data analysis and storage, mining, forecasting and visualization, as well as of the policy development toolkits. Security and privacy enhancing and enforcing mechanisms are also presented and an overview is provided as well. Alongside the state of the art, the enhancements to the previously mentioned mechanisms and toolkits that are planned for CrowdHEALTH will be presented, in order to provide a clear overview of the contributions added and validated through the run of the project. A second major goal of this report is to provide a comprehensive requirements list, which will be considered during the development of the platform, and which will be later evaluated during the implementation of the pilot programs. More specifically, the requirements will help the research and development efforts by providing support and guiding the decisions and strategies adopted during the specific work packages. 4/171 D2.1 State of the Art and Requirements 29/09/2017 Analysis v1 Table of Contents Executive Summary ................................................................................................................ 4 Table of Contents .................................................................................................................... 5 Table of Figures ...................................................................................................................... 7 1. Introduction ...................................................................................................................... 8 2. Terminology ................................................................................................................... 10 3. Requirements ................................................................................................................. 11 3.1. Use cases requirements .......................................................................................... 12 3.1.1. Use Case #1: Overweight and obesity control .................................................. 12 3.1.2. Use Case #2: Chronic disease management ................................................... 18 3.1.3. Use Case #3: Online coaching for cancer patients ........................................... 29 3.1.4. Use Case #4: SLOfit ........................................................................................ 34 3.1.5. Use Case #5: Cardiobox .................................................................................. 45 3.1.6. Use Case #6: Nutrition and Activities ............................................................... 52 3.2. Technical requirements ........................................................................................... 60 3.2.1. Holistic health records & clusters of HHRs ....................................................... 60 3.2.2. Gateways for data sources ............................................................................... 70 3.2.3. Data quality assessment and cleaning ............................................................. 75 3.2.4. Aggregation ...................................................................................................... 84 3.2.5. Interoperability ................................................................................................. 86 3.2.6. Big data storage and analytics ......................................................................... 88 3.2.7. Visualization ..................................................................................................... 92 3.2.8. Public health policies modelling and evaluation ................................................ 95 3.2.9. Risk models and models execution .................................................................. 97 3.2.10. Clinical pathway mining .............................................................................. 100 3.2.11. Multimodal forecasting ................................................................................ 103 3.2.12. Causal analysis .......................................................................................... 105 3.2.13. Context analysis ......................................................................................... 106 3.2.14. Policy development toolkit .......................................................................... 107 3.2.15. Trust management and reputation modelling .............................................. 108 5/171 D2.1 State of the Art and Requirements 29/09/2017 Analysis v1 3.2.16. Anonymization, authentication, authorization, and access control............... 110 4. State of the Art Analysis ............................................................................................... 112 4.1. Holistic health records ........................................................................................... 112 4.1.1. State of the Art ............................................................................................... 112 4.1.2. Advancements in CrowdHEALTH .................................................................. 115 4.2. Gateways for data sources .................................................................................... 116 4.2.1. State of the Art ............................................................................................... 116 4.2.2. Advancements in CrowdHEALTH .................................................................. 117 4.3. Data quality assessment and cleaning .................................................................. 117 4.3.1. State of the Art ............................................................................................... 117 4.3.2. Advancements in CrowdHEALTH .................................................................. 118 4.4. Aggregation ........................................................................................................... 119 4.4.1. State of the Art ............................................................................................... 119 4.4.2. Advancements in CrowdHEALTH .................................................................. 120 4.5. Interoperability ...................................................................................................... 121 4.5.1. State of the Art ............................................................................................... 121 4.5.2. Advancements in CrowdHEALTH .................................................................. 127 4.6. Big data storage and analytics .............................................................................. 128 4.6.1. State of the Art ..............................................................................................