Holistic Health Records and Big Data Analytics for Health Policy - PowerPoint PPT Presentation

Holistic Health Records and Big Data Analytics for Health Policy Making & Personalized Health Lydia Montandon (Atos) · Project Coordinator Dimosthenis Kyriazis (Un. of Piraeus) · Technical Coordinator

Content o The ‘What’ o The ‘Why’ o The ‘How’ o The ‘ Who ’ 2 July 8, 2017

The ‘What’ 3 July 8, 2017

3 4 CrowdHealth Snapshot Data Evidence-based Chronic diseases Visualization & Health Policies Medication centres Social networks Analytics Creation Living labs Public environments Heterogeneous Data Sources + Information 5 2 Acquisition Collective Knowledge Data Policies = Governance Evaluation [SHHR] Reliable Info Simulations 1 Big Data Management 4 July 8, 2017

Terminology & Acronyms Electronic Health Records EHR PHR Personal Health Records HHR Holistic Health Records Health-related elements and additional data (e.g. nutrition, lifestyle choices, etc.) SHHR Social Holistic Health Records Cluster / network of HHRs 5 July 8, 2017

Terminology & Acronyms (cont’d) Parameters of policies that can be monitored, Policies KPIs evaluated, adapted, etc. Risk Analytics, Forecasting, Causal Techniques Health Analytics and Clinical Pathways Mining APIs & Gateways Interfaces of devices / data sources Situational Context Analysis Knowledge 6 July 8, 2017

The ‘Why’ 7 July 8, 2017

The CrowdHEALTH Story EHR data EHR EHR PHR Wearables & Smart devices Current Approaches ( a ) Fragmented data EHR Health Strategies PHR PHR  Independent and heterogeneous services ( b ) Inefficient  Limited data exploitation personalized  health care Health Records (EHRs & PHRs) of limited value Personal data (health, social, lifestyle) Healthcare data Medical device data Social care data Specific Health Policies Laboratory medical data  Ineffective and untargeted health policies 8 July 8, 2017

The CrowdHEALTH Story CrowdHEALTH Platform HHRs Wearables & Smart Experience & Relationships devices with other HHRs ( a ) Public Health Strategies ( b ) Personalized Medicine, Healthy Life Support and Social Personal data (health, Disease Prevention social, lifestyle) HHRs Healthcare data Contextual Information Medical device data Social care data Laboratory medical Public Health data Policies Security Framework Big Data Platform 9 July 8, 2017

The ‘How’ 10 July 8, 2017

Evolution of health records ▶ Social HHRs mean HHRs that are enriched / updated with information from other HHRs (their “experiences”) to propose health-oriented activities. ▶ Exploitation of collective knowledge by adopting partially or completely elements (care plans, practices, activities, etc) included in other HHRs  Based on clusters of different elements – e.g. nutrition-related Health Record Holistic Health Social HHR Social HHRs Record (HHR) (Clusters of HHRs) 11 July 8, 2017

Objectives, Innovations & Propositions (1/3) HHRs & Social HHRs ▶ Objectives: Propositions  Exploitation of heterogeneous data  HHR structures enabling sources and compilation of collective capturing of different knowledge through Social HHRs. data  Ensuring secure cross-sector and  Contextual analysis tools multi-actor data exchange. ▶ Innovations:  Clustering / classification technologies for  Compilation of collective knowledge analyzing HHRs and their for the provision of efficient public health policies and services. networks / HHRs clusters  Creation of a security framework for  Users ’ preservation, and trust management, adaptive data integrity techniques selections, data anonymization, access  Access control schemes control, and authorization. 12 July 8, 2017

Objectives, Innovations & Propositions (2/3) Data Management ▶ Objectives: Propositions  Facilitating new insights to healthcare  Big data LeanXcale by exploiting all available data sources. platform  Data visualization for analyzing  Dynamic data sources outcomes in a meaningful and integration technologies proficient way.  Data cleaning and sources ▶ Innovations: reliability techniques  Provision of added value real-time  Data aggregation HHRs and health policies. mechanisms (feeding  Incremental data visualization HHRs)  Data monitoring and techniques delivering data analytics outcomes. visualization workbench 13 July 8, 2017

Objectives, Innovations & Propositions (3/3) Health Policies ▶ Objectives: Propositions  Modelling, creation and co-innovation  Structural representation of multi-modal health policies. including several KPIs  Evaluation and adaptation of cross-  Health analytics domain policies. (algorithms) ▶ Innovations: • Prediction / forecasting • Clinical pathways  Dynamic knowledge extraction • Risk identification through data deriving from data • Causes analysis sources, social HHR networks, and predictive risk/causal analysis, with  Identification of closed respect to all health determinants. groups for simulations  Dynamic knowledge extraction  Evaluation of policies from through the outcomes of simulations closed groups and evidence based approaches. 14 July 8, 2017

15 July 8, 2017

The ‘Who’ 16 July 8, 2017

Who participates in CrowdHEALTH? 17 July 8, 2017

Use Cases – Pilots 18 July 8, 2017

5 Use Cases – 6 Pilots Health centers • HULAFE • KAROLINSKA Chronic diseases • BIOASSIST Social networks • CARE ACROSS Living labs • DFKI Public environments • UNI LJUBLJANA 19 July 8, 2017

Factsheet 20 July 8, 2017

Factsheet o Multidisciplinary International Research and Innovation Project o Funded by Horizon 2020 Programme of the European Commission o 19 Partners o Project coordinator: Atos Spain o Technical coordinator: Uni of Piraeus o Duration: March 2017 – February 2020 o Funding: 5 Mio o Project Officer: G. ROESEMS-KERREMANS 21 July 8, 2017

Inspired? 22 July 8, 2017

“Collective wisdom driving public health policies” Today Tomorrow ▶ Numerous health ICT services ▶ Health policies exploiting big data  Several health services  Heterogeneous data sources integration  Limited data exploitation  Holistic health records (HHRs)  Inefficient personalization in  Data analytics on aggregated health care provisioning data  Health records (EHRs & PHRs)  Exploitation of collective of specific value knowledge  Ineffective, untargeted, and  Multi-modal targeted policies fragmented health policies 23 July 8, 2017

Questions? THANKS www.crowdhealth.eu 24