Challenge 5: Towards Sustainable and Personalised Healthcare: Current State-of-the Art and Opportunities Within the FP7 ICT Call 1 Panagiotis BAMIDIS Lab of Medical Informatics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Challenge 5: Towards Sustainable and Personalised Healthcare: Current State- of-the Art and Opportunities Within the FP7 ICT Call 1 Panagiotis BAMIDIS.
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Challenge 5: Towards Sustainable and Personalised Healthcare: Current State-of-
the Art and Opportunities Within the FP7 ICT Call 1
Panagiotis BAMIDISLab of Medical Informatics,
Medical School,Aristotle University of Thessaloniki,
Thessaloniki, Greece
3RD KNOW HOW TRANSFER EVENT - SEPVE - Mar 20072
Talk Roadmap
Healthcare in EU eHealth Before FP7 To FP7
3RD KNOW HOW TRANSFER EVENT - SEPVE - Mar 20073
Challenges of Health Sector• better, faster and more responsive health care
services for the citizens• more sophisticated and user friendly medical
equipment, systems and tools for practitioners• more efficient and cost effective management of
services for managers• faster and efficient supply of medical products for
suppliers• better co-ordination and management of health
care services at European level for policy makers[Source: R. Zobel, eHealth 2003 Conference]
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What is eHealth?
ICT for Health (also known as eHealth) describes the application of information and communications technologies across the whole range of functions that affect the health sector, from the doctor to the hospital manager, via nurses, data processing specialists, social security administrators and - of course - the patients.
eHealth is developing in at least three areas: research and technology development; policy; and applications and deployment.
European Community research programmes have been supporting eHealth for the last two decades, co-financing research projects to the tune of €500 million.
The European Union’s Member States are committed to sharing their best practices and experiences to create a European eHealth
eHealth – which once had purely a research and development profile – is now moving ever closer to deployment and use of actual applications. (see the eTEN programme)
• A relatively recent concept Introduced in the 1990s Place the individual citizen in the centre of the healthcare delivery process
• Key facilitators for: Continuity of care Preventive & personalised care Citizen-centred care
citizen empowerment preventive lifestyle & early diagnosis disease management independent living for ageing society
[Source: Loukianos Gatzoulis, IST event 2006, Helsinki]
Personal Health Systems - PHS
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Personal Health Systems
In the form of: Wearable, implantable, portable systems Point-of-care systems
Non-/minimally-invasive monitoring Remote and continuous health status monitoring Personalised medical advice, recommendations and treatment as necessary
[Source: Loukianos Gatzoulis, IST event 2006, Helsinki]
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ICT for health – FP6 focus
Research funded under the eHealth Strategic Objective of the IST research programme aimed at
– creating an 'intelligent environment' allowing ubiquitous management of each person's health status
– assisting health professionals in coping with major health challenges. The focus was on:
– key technologies (biosensors and secure communications, 'smart clothes' and implants, which help patients - and their doctors - monitor and manage health status)
– software tools to help health professionals take the best possible decisions assuring patient safety
– networking multidisciplinary researchers in the fields of bio-informatics, genomics, and neuro-informatics to help create a new generation of eHealth systems to assist the 'individualisation' of disease prevention, diagnoses and treatment
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ICT for health – FP6 calls
Under the Sixth Research Framework Programme (FP6), the Commission has sought proposals for eHealth research projects twice:
– the 1st Call for Proposals, which closed on 24 April 2003; – the 4th call for proposals, which closed on 22/03/05 (
• MYHEART (http://www.hitechprojects.com/euprojects/myheart/)Wearable systems (intelligent textiles) for prevention, early diagnosis and management of cardiovascular diseases
• OFSETH (www.ofseth.org) Textiles with optical sensors for physiological monitoring
• HEARTFAID (www.heartfaid.org)Knowledge-based platform for heart failure management
• SMARTHEALTH (www.smarthealthip.com) and MICROACTIVE (www.sintef.no/microactive) Point of care devices for cancer screening (breast, cervical and colorectal cancer)
• Pressure on healthcare systems Citizens’ expectations for high-quality care Demographic changes
more people will require prolonged care Increased prevalence of chronic diseases
substantial part of the overall healthcare costs Medical accidents Staff shortages Reactive model of healthcare delivery
after appearance of symptoms Rising healthcare costs
faster than the economic growth itself
• How to offer high-quality & affordable care?[Source: Gérard Comyn, IST event 2006, Helsinki]
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Strategic Directions
• Mix of policy and research actions: Shift from hospital-centred to person-centred systems Shift from reactive to proactive (preventive) healthcare
Policy instrument: Action Plan for a European eHealth Area
COM(2004) 356
Research instrument: Seventh Framework Programme for Research (FP7)
[Source: Gérard Comyn, IST event 2006, Helsinki]
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FP 7 - Challenge 5
ICT WP 2007-08 - Strategic Objective:
“Personal Health Systems for Monitoring and Point of Care diagnostics”
Strategic Research Orientations: Personal Health Systems
Patient Safety
Virtual Physiological Human
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FP7 Objective 3.5.1.1
Focus on:
(a) Personalised (health status) monitoring For people at risk or chronically ill Wearable or portable/mobile ICT systems Enable remote monitoring & care Multi-parametric information (physiological; biochemical; activity, location,
social and environmental context) Intelligent systems to correlate multi-parametric data with expert biomedical
knowledge aid diagnosis user support
Interoperable with electronic medical records
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FP7 Objective 3.5.1.1 - (2)
Focus on:
a1) Chronic disease management intelligent closed-loop approaches detect and assess trends and episodes facilitate adaptive care remote management, avoiding hospitalisation promote doctor-patient interaction potential for integration in the healthcare process
a2) Preventive monitoring for people at risk identify evolving patterns/trends in health & lifestyle parameters indicate elevated risks of disease development reveal episodes at early stages facilitate personalised guidance encourage citizen compliance prompt for early medical intervention
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FP7 Objective 3.5.1.1 (3)
Focus on:
(b) Point-of-Care diagnostics Multi-analyte screening at primary care (GP offices) Portable or handheld devices (based on LoC, microarrays, etc.) Multiple tests (e.g. genome, proteome, metabolome levels) Identify disease predisposition Early diagnosis of diseases & their recurrence Assistance to treatment
• dosage advice • suitability of drug use
Significant advances in: • sensitivity and specificity • data processing, analysis and quality control
Interface with hospital and laboratory information systems & electronic medical records
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FP7 Objective 3.5.1.1 (4)
(c) Additional Support Actions on:
1) R&D roadmap on Personal Health Systems emerging technologies and potential applications user demand and business aspects ethical and legal considerations
2) Wireless transmission of health-related information reliability aspects need for exclusive radio frequency bands?
3) Interoperability of Personal Health Systems with other eHealth systems promotion and recommendations for continuous care
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FP7 Objective 3.5.1.1 (5)
• Expected Impact Higher quality care at the patient location
Better support and reassurance to people at risk
Stabilise the cost of health delivery systems
Reinforce leadership of the EU Personal Health Systems industry • Call 1 funding:
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More on ICT WP 2007-08Challenge 5
“Advanced ICT for Risk Assessment and Patient Safety”
Objective IST-2007.5.2
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a) Advanced computerised adverse event systems:
• New tools for identification, prediction, detection and monitoring of adverse events and other relevant information.
– Based on innovative data mining and integration techniques of existing databases and specific applications.
– Emerging technologies like semantic mining should be explored through multimedia databases.
– Include validation leading to quantitative benefits.
Research proposed in Objective IST-2007.5.2
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Research proposed in Objective IST-2007.5.2
b) New risk prediction for large scale events -local, regional or even global adverse health events (infectious
outbursts, bioterrorism): • new risk prediction, assessment and management
tools for preparation, surveillance, support and intervention in case of large adverse health events.
• complement DG SANCO Health Emergency Operations Facility
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Research proposed in Objective IST-2007.5.2
c) Specific International Cooperation Actions (SICAs) with Latin America countries
• foster cooperation, transfer of technology and undertake demonstration activities in the area of alert and decision support systems based on Electronic Health Records.
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Funding in Objective IST-2007.5.2
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ICT in support of patient safety and risk management in healthcare
ICT
re
se
arc
h
nanosystems
genomics proteomicsdata mining
modelling
Emerging technologies
cognition
simulationbiochipsmolecularimaging
biobanks
ICT
ap
pli
ca
tio
ns
ICT in clinicalsettings
CIS, EHR
CPOE
DSS ( scores,reminders,alarms, clinicalpathways )
eMedication
EMS IT, eICU
. . .
Personal ICTtools
Biomedicalsensors
Telemonitoringdevices
Personal toolsfor diagnosticsand treatment
. . .
Public Healthapplications &secondary use
Event reports
Alert systems
Crisismanagementtools
bioserveilance
. . .
Other tools(not for
medical useonly)
Barcodes
RFID
Smart cards
Systemsengineeringtools
. . .
[Source: Symbion & Communications- and Technology Research, IST event 2006, Helsinki]
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ICT in support of patient safety and risk management in healthcare
ICT in Clinical SettingsICT in Clinical Settings
EHR (Electronic Healthcare Record)CPOE (Computerized Prescription Order Entry System)DSS (Decision Support tools)EBM (Evidence Based Medicine, guidelines)
[Source: Symbion & Communications- and Technology Research, IST event 2006, Helsinki]
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More eHealth in FP7…
The Virtual Physiological Human(VPH)...
Biomedical information is collected, stored and processed on/at:
1) Different Levels – molecule, cell, tissue, organ, patient, population
2) Different Context - care, research, education, policy/management
3) Different Representation – format, structures, ontologies,..
4) Different places: - Clinical info resources: health records, clinical research databases,
pharma databases …
- Biomolecular info resources : DNA & protein sequences, microrarray data, protein interactions, human genome annotations ..
- Public health info resources : epidemiological data and studies, national and WHO databases on diseases, …
Biomedical informatics background
[Source: Joël Bacquet , IST event 2006, Helsinki]
3RD KNOW HOW TRANSFER EVENT - SEPVE - Mar 200731
BMI enables integration of biomedical data for better health (Molecular medicine)
Population
Patient
Tissue, organ
Cell
Molecule
Health Information levels
INFO
RM
ATIC
SPublic Health Informatics
Medical Informatics
Bioinformatics
Based onFernando Martin Sanchez
Synthesis of all “Health information levels”
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Basis is the International physiome project www.physiome.org
Computer models of the human physiology, which includes the interaction across temporal and spatial scales from molecules to cells, tissues, organs, up to the whole human body
Bridge gap b/w morphology & physiology inconsistencies
Functional Neuroimaging of genetic variation
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Imaging Genomics
•Increasingly divergent path from genes to behaviour. •Need estimation of genetic effects at the level of brain information processing, which represents a more proximate biological link to genes and behaviour.
genes cells systems behaviour
Complex functional
interactions&
Behavioural phenotypes
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Objective 3.5.2.1 – Virtual Physiological Human
• Technical focus on:a) Patient-specific modelling and simulation
Target: molecular, cell, tissue, organs or systems Modelling & simulation of organs/systems targeting specific clinical
needs. Go beyond the state of art of available models Models should be multilevel when appropriate
Better understanding of the functioning of the organs New insight into the response to physiological changes
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Objective 3.5.2.1 – Virtual Physiological Human
• Technical focus on:
b) Data integration and knowledge extraction Target: creation and formalisation of patient specific knowledge
from multi-level integration of biomedical data Requirement: open distributed health infrastructures and tools Focus:
Coupling scientific research data with clinical/empirical databases Linking genotype data (genetic markers, pathways) with
phenotype data (clinical data) Image processing assessing disease evolution/presence
Data mining and image processing across many biological levels
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Objective 3.5.2.1 – Virtual Physiological Human
• Application focus on:a) Patient-specific modelling and simulation & b) Data
integration and knowledge extraction to be demonstrated on c) following clinical applications:
Medical simulation environments for surgery Environment used for simulation, training and planning of
surgeries Prediction of disease or early diagnosis (patient specific)
knowledge and predisposition obtained from lab tests, biomedical imaging (imaging bio-markers and other data)
assessment of efficacy/safety of drugs Use patient specific computational models to assess the drugs. Alternative screening for clinical trials
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Objective 3.5.2.1 – Virtual Physiological Human
d) Networking action (NoE):• in multilevel modelling and simulation of human physiology
sharing of knowledge multidisciplinary training programmes reusable software tools
e) Coordination & Support Actions1. Enhancing security and privacy in modelling and simulation
addressing patient data processed over distributed networks use of genetic data Trustworthy environment
2. International cooperation on health information systems based on Grid capabilities
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Funding for Objective 3.5.2.1
• When : Call 2
• Instruments (Draft not yet agreed): (a-c) CPs 62M€ (minimum 22M€ for IP and
Minimum 22M€ for STREPs)
(d) Integrating action: NoE max 8M€
(e) Coordination & Support Actions: CSAs Max 1M€ per action