preve project overview - months 1-6
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FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
PREVE OverviewProject Months 1-6
Niilo SaranummiVTT Technical Research Centre of Finland
www.preve-eu.org
WHAT
Prevention of diseases
www.preve-eu.org
PREVE – in brief
• A 12 month Support Action, under the 4th FP7 ICT Call• Four partners
• Objective– Identify ICT research directions for the empowerment of citizens
in disease prevention and the preservation of health
www.preve-eu.org
What PREVE deliversImpact
• White Paper identify ICT research directions for the empowerment of citizens in disease prevention and the preservation of health highlighting the need to approach disease prevention from multiple complementary viewpoints.
• Articles offered to peer-reviewed journals and to conferences in order to target different stakeholders in disease prevention
www.preve-eu.org
PREVE impact
• “PREVE will suggest ICT research directions in primary prevention. – Thus it will open a new avenue of research in the PHS where the
so far traditional concept “a physician in the loop” does not always apply and the participation of the healthcare sector may be indirect.
– The lead idea of the project is “having the individual as a co-producer of health” and empowering individuals to take responsibility of their health with personalised ICT enabled PHS technologies and services.
– In this way the project paves the way towards a health service environment where individuals and health professionals work jointly towards health goals.”
www.preve-eu.org
WHY
Prevention of diseases
www.preve-eu.org
The well-known health system challenges
• Health expenditure vs. value– What is produced with €’s– Quality & Access concerns– Expectations & Awareness
• And the drivers– Ageing & Care ratio– Life styles– Science, Technology and
Innovation
Healthy
At risk
Ill Under
treatedDifficult to
treat Crisis
”Defense lines”Burden of disease
© Juha Teperi, STM
PREVE focus
www.preve-eu.org
Prevention is the best strategy
• According to WHO, – 77% of the disease burden in Europe is accounted for by disorders
related to lifestyles. Furthermore, 70% of stroke and colon cancer, 80% of coronary heart disease, and 90% of type II diabetes could be prevented by maintaining healthy lifestyles.
• The best prevention strategy is to lead a healthy lifestyle.• But, although we are constantly “bombarded” with health
promotion information that we should exercise regularly, eat healthy, control our weight, sleep enough, manage stress, not smoke and use alcohol only moderately etc. as a population we are not doing a good job in acting according to this advice.
www.preve-eu.org
Clearly, people need assistance
• Based on this it should be clear that we as individuals need assistance in primary prevention.
• The questions are– What kind of assistance and – How the assistance should be made available / offered and – How to ensure that the assistance provides effective help to the
individual in changing and maintaining her lifestyle.
www.preve-eu.org
HOWPREVENTABLE DISEASES ICT ENABLED PRIMARY PREVENTION
Prevention of diseases
ICT in Disease Prevention
Networked business modelsValue proposition, validation
Health behaviours, Personalization, Environment
Co-producernetwork
www.preve-eu.org
M9
Where we are now
PREVE workflow – 3 phases
White paperICT ResearchDirections in
PrimaryPrevention
(T3.4)
Select the diseases &
bestpractices
(T2.1)
Usersegments &
Personalprofiles
(T2.2 – 4)
Business models and validation(T3.1 – 3)
WorkshopsBarcelona16.3.2010
Milan8.11.2010
Belfast14.6.2010
1.12.200931.11.2010
www.preve-eu.org
Workflow in more detail
Co-creatorsIndividual +
Environment
Personas
Co-producers
”My Health Project”
Preventablediseases
Clinical riskfactors
Health behaviours
Personalprofiling
Intervention needs
Demand (WP2, Completed)
Brokering of best fit
Business models
Valueproposition
Business cases
Supply (WP3, WIP)
FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
WP2 – Analysis of the Domain
Vicente TraverUniversidad Politécnica de Valencia
www.preve-eu.org
WP2 goal
General objective:
TO PERFORM AN IN-DEPTH ANALYSIS OF THE DOMAIN OF PERSONAL HEALTH SYSTEMS (PHS) IN PREVENTION
www.preve-eu.org
WP2 Original specific objectives
To analyze in-depth and refine the framework for PREVE project and of the target domain: boundaries, concepts, basic facts and benchmarking of ongoing initiatives in primary prevention and in PHS.
To describe the intervention model for primary prevention considering the citizen as a co-producer of health.
To assess the different and similar characteristics of the different population groups that could benefit from primary prevention PHS.
To specialize the basic intervention model with the different population groups generating a matrix of intervention models for different user segments.
To discuss and refine the findings in two expert workshops
www.preve-eu.org
Tasks
T2.1 Selection of diseases and analysis of best practices in their prevention, incl. lifestyle management & modification (M1-M4)
T2.2 Analysis of primary and secondary prevention strategies deployed in ongoing EU funded PHS projects and of the market place (M1-M6)
T2.3 Personal profile, motivation, user segmentation (M1-M6)
T2.4 User segmented intervention strategies (M1-M7)
www.preve-eu.org
WP2
WP2 alignment within PREVE
White paperICT ResearchDirections in
PrimaryPrevention
(T3.4)
Select the diseases &
bestpractices
(T2.1)
Usersegments &
Personalprofiles
(T2.2 – 4)
Business models and validation(T3.1 – 3)
WorkshopsBarcelona
16.3.2010
Milan
8.11.2010
Belfast
14.6.2010
1.12.200931.11.2010
www.preve-eu.org
WP2 Outputs and milestones
D2.1 Selection of the relevant diseases and their
prevention strategies (draft) (M3)
D2.2 Selection of the relevant diseases and their prevention strategies (final
version) (M4)
1st PREVE Workshop, March 16th, 2010, and Advisory
Panel Meetings in Barcelona, March 15th and 16th.
1st milestone
www.preve-eu.org
WP2 Outputs and milestones
D2.3 User segmented intervention strategies
(draft) (M6)
D2.4 User segmented intervention strategies
(final version) (M7)
2nd PREVE Workshop, June 14th, 2010, and Advisory
Panel Meetings in Belfast, June 13th and 14th.
2nd milestone
www.preve-eu.org
Lessons learnt
• The most prevalent preventable non-communicable diseases are all lifestyle related
• Relationship disease-disorder risk factor • Through prevention, scientific evidence of impact on risk
factors
• Citizen as health co-producer• The citizen has the responsibility to manage her health
and wellbeing
www.preve-eu.org
Lessons learnt
• A 3D framework for health behaviour and behaviour change has been constructed based on a thorough analysis of existing theories, best practices and other ongoing initiatives
• Tailoring vs segmentation. Segmentation only valid when resources for intervention implementation are low and the targeted behaviours are relatively simple
• Personas description to illustrate the process of profilingand choosing intervention strategies
FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
Task 2.1 - The Citizen as Co-producer of Health & Conceptual Framework for Chronic Disease
Niels BoyeUniversity of Aarhus, Denmark
www.preve-eu.org
Client Centred ApproachPatient Centred Medicine
Ambient Assisted Living
Health Service Delivery
Maturity of ICT
Citizen as object
User as OperatorExpert SystemsCorporate Centred
User as UserLayman SystemsIndividual Centred
Citizen as co-Producer of Health
ContemporaryState of the Artin ICT andEmpowerment
Model & Concepts
Citizen as proactive subject
Disease prevention
Disease compensation
(Disease cure)
Assisted living
The Citizen as Co-producer of Health –enabled by ICT
www.preve-eu.org
“Biological age” (“years”)
0
100 %
Patient0
100
(100%Citizen)
AAL
Telemed
Prevention
Demand side
Supply side
The “Present Terrain”
www.preve-eu.org
0
100 %
Patient
0
100
(100% Citizen)
Tele-
medicine
D
D
Chronic
Disease
Management
“Biological age” (“years”)
D
AAL
D
Preven-
tionand
Lifestyle
Society Hospital
The Future.........
www.preve-eu.org
Personal Guidance Services (PGS)
Conceptual Aims of “the Citizen as Co-producer of Health Model"
• Information and patients as resources• Nature, Nurture, and collaboration with institutionalized
health care• Personalized management of prevention (and care of
chronic diseases) – in a citizen context• Multilevel ICT-modeling of health and disease
encapsulated in to personal devices –
From: “Background document for the Consultation meeting
on potential European Large scale Action (ELSA) on eHealth”
European Commission “ICT for Health Unit, H1, 28.08.2009
www.preve-eu.org
The Personal Guidance System
• Is a ICT device: based on computer-models of healthy- and preventive-behaviour, achievable evidence-based pathways of cure, compensation, or treatment for disease related conditions
• The Personal Guidance System contains computer-models for navigation in health similar to the GPS that contains a model of geography and possibilities in travel
• The PGS provides the personal context of health related decisions and is the ICT-platform for the “Citizen as Co-producer of Health”.
www.preve-eu.org
Data - and
Information
flow
EHR
Quality
Assurance
HMO/
Region
Clinical
encounter
Healthcare
Co-production
Health-PGS(digital avatar)
Research Patient-NGO
Research/
Pharmaceutical Co
Hospital
Decision supportinformation flows
www.preve-eu.org
Decision Support Present service model
• Contemporary service model (provider push) of prevention:
• Non-specific lifestyle modifications• Primary prevention (e.g. immunisations)• Secondary prevention – (e.g. screening programs)• Tertiary prevention of complications to disease
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Prevention in the Co-Producer Model context
• From the citizen and co-production of health point of view there is no distinction between primary, secondary and tertiary prevention
• It is behaviour planning and execution on the basis of personal-context, evidence-, and knowledge-driven ICT-augmented decisions
www.preve-eu.org
Evidence Based Associations between Risk Factors and Conditions
Type 2-diabetes
Preventable cancer
Cardiovascular disease
Osteoporosis
Musculoskeletal disorders
Hypersensitivity disorders
Mental disorders
Chronic obstructive pulmonary disease
Tobacco smoking
Alcohol consumption
Diet
Physical activity
Obesity
Accidents
Working environment
Environmental factors
Diseases and Disorders Risk Factors
www.preve-eu.org
Citizen Modifiable Risk Factors
Co-production of Disease PreventionConnections between Risk Factors and Conditions
Type 2-diabetes
Preventable cancer
Cardiovascular disease
Osteoporosis
Musculoskeletal disorders
Hypersensitivity disorders
Mental disorders
Chronic obstructive pulmonary disease
ConditionsTobacco smoking
Alcohol consumption
Diet
Physical inactivity
Obesity
Accidents
Working environment
Environmental factors
Citizen Modifiable Risk Factors
Non-Modifiable Risk Factors
Family history and gender
FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
Task 2.2 – Analysis of primary and secondary prevention strategies deployed in ongoing EU funded PHS projects and of the market place
Teresa MeneuUPVLC Universidad Politécnica de Valencia
www.preve-eu.org
Objectives
Revision of research projects of ICT and primary prevention
Revision of commercial products, websites and online health promotion organizations
Revision of complementary domains: secondary and tertiary prevention, marketing
Revision of public health campaigns
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Main Figures
0%5%
10%15%20%25%30%35%40%
Focus of the prevention projects
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Main Figures
0%2%4%6%8%
10%12%14%16%18%20%
Focus of the prevention websites
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26
2
12
33
1
3
4
7
2
2
02468
1012141618
Type of products
Other products
Videogames
Main Figures
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0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Diet Physical inactivity
Obesity Others
Most Common Risk Factors
Projects
Websites / Organizations
Main Figures
www.preve-eu.org
Public Health Campaigns
Tobacco Alcohol
Dietary Habits, Physical
Activity & Obesity
Melanoma Vaccination Drugs
www.preve-eu.org
www.preve-eu.org
On PREVE website it has been created a database to collect all
related works: websites, products and projects, focused on
prevention of diseases and risk factors.
www.preve-eu.org
www.preve-eu.org
www.preve-eu.org
Conclusions
Isolation of initiatives
• Little signs of interoperability either on a technical or at a conceptual level.
• The original purpose of the projects is mainly focused in a specific domain and was not expecting to be used or profited in conjunction with others.
The number of secondary prevention experiences is much bigger that those of primary prevention
• More mature market
• More well defined conditions
• More funding allocated to this domain
• They could provide some useful information related mainly to motivation
• Not applicable to the same extent to business models or technological solutions.
General lack of sustainable trustable business models linked to primary prevention
• Most successful initiatives are very simple and sold as ’consumer’ products, for leisure, pleasure or beauty .
• Interesting models linked to some healthcare initiatives: Kaiser, Mayo Clinic, Healthvault, Google Health,
Reduced participation of multiple actors in the co-creator model, most solutions have only the individual and, in some cases, the healthcare system.
www.preve-eu.org
Conclusions
Reduced presence of external influences (society, family, etc) in the picture besides the initiatives linked to web 2.0.
Interesting results in peer motivation and support in similar domains that could be applied to primary prevention.
The most apparently successful results are based in the physical activity domain.
General awareness of main risk factors and potential diseases, aligned with the results of D2.2.
Reduced support to practical implementation of strategies but much more provision of semi-personalized guidelines.
Most projects just do population based personalization (segmentation) and some tailoring based in a few set of individual parameters (i.e. BMI).
FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
Task 2.3 – Personal profile, motivation, user segmentation
Kirsikka KaipainenVTT Technical Research Centre of Finland
www.preve-eu.org
Objectives
• To analyze different motivation strategies proposed in literature and implemented in current activities that are or could be applied to lifestyle management and modification, especially drawing from the experience in advertising and marketing
• To assess the cultural and socio-economic issues that could affect the effectiveness of the identified motivation strategies
• To analyse user segmentation based on life stages• To develop the concept of personal profile based on life stages, risk
factors, motivation and socioeconomic factors• A segmentation analysis over the population groups highlighted in
task 2.1 for the different diseases, based in the different dimensionsthat could influence the intervention model
• To match the identified motivation strategies with the user segmentation produced in T2.3
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FACTORS THAT INFLUENCE BEHAVIOUR
www.preve-eu.org
Determinants of health behaviour
• Various theories and frameworks were investigated– Psychological theories about individual behaviour and
stages of behaviour change– Theories of values and motivation– Developmental theories– Communication theories– Social marketing theories– Behavioural economics– Cognitive-behavioural therapies and persuasive
technologies
The theories overlap and complement each other– There is no one theory that completely explains behaviour
and behaviour change– A hybrid model to include essential factors and their
relationships is needed
www.preve-eu.org
Determinants of health behaviour
Values,personality, life stages
Awareness Self-efficacy
Outcome expectations
Social influences
Intention
Barriers
Ability
Reasoned behaviour
Automatic behaviours
Environmental contexts
Public policy
Community
Organizational
Interpersonal
Individual
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PROFILING THE PERSON
www.preve-eu.org
Constituents of personal profile
Dynamicity
Dimensions
for user
segmentation
www.preve-eu.org
INTERVENTIONS FOR BEHAVIOUR CHANGE
www.preve-eu.org
Principles of interventions
• Primary aims:– Create or strengthen intention through other determinants– Increase abilities and remove barriers
• Guiding principles:– Provide immediate, tangible, personally valuable benefits for
healthy behaviours– Frame health-promoting messages in an appealing manner– Guide people with appropriate choice architectures– Take advantage of trigger events– Make changes on multiple levels by involving different actors– Identify co-creators of health and involve them in interventions
www.preve-eu.org
Choosing
appropriate
interventions
Assess current Health behaviourDiet
Physical ActivityAlcohol consumption
SmokingStressSleep
Mental well-being
Intention per behaviour?
Not aware of risks and benefits /
misconceptions?
Educate
Lack of resources (external, actual
abilities)?
Strengthen resources
Support behaviour/
maintenance
OK, no current risks
Strengthen social independence / increase support
Risky/poor, need for behaviour change
Discouraging social environment?
Unfavourable outcome expectations?
Weak self-efficacy?
Improve outcome expectations
Improve self-efficacy and skills
Weak or nonexistent
Strong
Identify determinants to
target
Select methods & tailor the intervention
Execute the intervention
Evaluate progress, outcomes and profile
updates
Monitor trigger events and profile
updates
Personal characteristics
Values & motivators
Personal resourcesCo-creators
Social environment
Service environment
Physical environment
Problem
characteristics
PROFILE
Risk factors
Values & motivators
Resources
Channels
Current behaviours
www.preve-eu.org
Personalization of interventions
• Targeting vs. tailoring– Targeting: designing interventions for subgroups with common
characteristics– Tailoring: fitting an intervention to meet the personal needs and
characteristics of a person rather than a group• The most effective approach, but traditionally costly
• ICT could enable deeply personalized, cost-efficient interventions– A Do-It-Yourself (DIY) platform for profiling yourself and to select
interventions that match your profile– Means for data entry, assessment, monitoring, context-
awareness, feedback personal guidance and motivation
FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
Task 2.4 – User Segmented Intervention Strategies
Teresa MeneuUPVLC Universidad Politécnica de Valencia
www.preve-eu.org
Main Objectives
To put together the collected information from the previous tasks by:
• Defining the primary prevention intervention model and differentiating its main dimensions.
• Describing the disease – best intervention strategies matrix of T2.1 with personalization data resulting in a user segmented disease – best intervention strategies matrix.
• Concluding the work in WP2 in valuable outcomes for the next phase of research.
www.preve-eu.org
Main Inputs
T2.4
WP3
Intervention Logic and Profile
Draft Primary Prevention Intervention Model &
PERSONA’s
www.preve-eu.org
Plan
Execute
Analyze
Evaluate
Trigger
event
Primary Prevention Intervention Model
DIYProfiler
Broker
PGS
PHS
www.preve-eu.org
Plan
Execute
Analyze
Evaluate
Trigger
event
Personalized Primary Prevention
Intervention Model
DIYProfiler Broker
PGS
PHS
Which is the riskof the individual?
How to select/choosethe intervention
strategy?
How to put it in practice in the concrete
time/location/need?
How to assess theevolution and provide
readjustments?
www.preve-eu.org
Personalized Intervention Strategies
No risk
Health behaviors
(and intention)
Resources
Motivators
low
high
Segments in need of
lifestyle change with
different levels of urgency
Segments that would
benefit from behavior
maintenance interventions
Examples of possibly
unrealistic segments
Low risk
High risk
Profiling Matrix
Life Stages
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Profiling Matrix Dimensions
Health behaviour is any activity undertaken by an individual which influences health outcomes.
• Regardless of actual or perceived health status, the intention can be promoting, protecting or maintaining health, but the attitudes and behaviours can also be harmful, unsafe and damaging to health.
Motivation must be present for a lifestyle change to happen and it has much to do about sustainability of the change.
• The motivation refers to the reason or reasons for engaging in a particular behaviour and it may be intrinsic, extrinsic or both.
The Resources are the tools present in the environment surrounding the individual at his disposal to carry out an interactive action.
• There are internal and external resources and they can have a positive or negative influence in the intervention.
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The 4th Dimension: Life Stages
• Life Stages
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PersonalizedIntervention
From Profiling to Personalized Intervention
Tailoring
Profiling
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InterventionLogic
Assess current Health behaviorDiet
Physical ActivityAlcohol consumption
SmokingStressSleep
Mental Wellbeing
Intention per behavior?
Aware of risks and benefits?
Educate
Not aware / Misconceptions
Lack of resources (external or actual
abilities)?
Strengthen resources
Support behavior/maintenance
OK, no current risks
Strengthen social independence / increase support
Risky/poor, need for behavior change
Discouraging social environment?
Unfavourable outcome expectations?
Weak self-efficacy?
Improve outcome expectations
Improve self-efficacy and skills
Weak or nonexistent
Strong
Yes
Yes
Yes
Yes
Identify determinants to
target
Select methods & tailor the intervention
Execute the intervention
Evaluate progress, outcomes and profile
updates
Monitor trigger events and profile
updates
Personal characteristics
Values & motivators
Personal resources
Co-creators
Social environment
Service environment
Physical environment
Problem
characteristics
PROFILE
Risk factors
Values & motivators
Resources
Channels
Current behaviors
1. Student
3. Middle age
overdoing
2. Corporate
wellness
5. Young old
person
4. Housewife
7. Obese child
6. Community
wellness
Student, motivated, healthy habits: She is a female. She is 20 years old and a student. She lives in a city and with her boyfriend. Her main values are: achievement, security, power and self-direction.
Male Adult, unmotivated, using services of community wellness: He is a male. He is 34 years old and employed. He lives in a city with his wife. His main values are: security, tradition and benevolence.
www.preve-eu.org
Conclusions
COMPLEXITY OF THE DOMAIN
• Specially in relation to the human nature and its natural reluctance to change a preferred, well established health behaviour, and the incredible high amount of factors and dimensions that need and must be considered to design an effective primary prevention intervention model.
• This scenario poses a set of challenges where ICT technologies could definitively play a significant role:
• acquiring the required information
• tracing the evolution and changes of the person, its context and her risk profile
• processing the enormous set of information to create practical decision support tools for the individuals.
www.preve-eu.org
Conclusions
FULL PERSONALIZATION
• Designing effective and sustainable primary prevention strategies is a very personal issue, even for similar risk profiles, the optimal way to manage to reduce or overcome said risk presents different faces depending on the concrete individual.
• Different moments of life, different situations or events, present or past, would imply an instant need to recalibrate the intervention strategy as the things that were effective in the past may no longer be applicable.
• The large number of relevant health determinants shows that interventions need to be tailored in order to meet the personal needs and characteristics of a person. In segmentation compromises would have to be made that would limit the potential success of the interventions.
www.preve-eu.org
Conclusions
ICT ENABLING MULTILEVEL STRATEGIES
• The number of theories is large but yet no one has proven to be the most suitable for all individuals and all situations.
• Different scenarios may need a different approach or even a combination of those.
• The inclusion of ICT technologies into the picture and the way it would affect the behaviours has not been extensively studied or validated and could cause differences in the efficacy on the different theories.
• The use of ICT to support the interventions could dramatically change the limitations and boundaries that current intervention models have in relation to the selection or one or another strategy for behaviour change.
www.preve-eu.org
Conclusions
PREVENTION ECOSYSTEM
• Inclusion of third parties in the intervention cycle: co-creators
• Some of the co-creators will truly interact with the individual in co-creating health. Others will participate through the choice architectures and defaults that they set through policies and other actions.
• The influence of the environment is very strong and is dynamically present in the prevention model.
• Co-creators need to be accommodated into the intervention strategies.
FP7-ICT-2009.5.1 – Support Action
Directions for ICT Research in Disease Prevention
This project is partially funded under the 7th Framework Programme by the European Commission
OutlookMonths 7 – 12
Niilo SaranummiVTT Technical Research Centre of Finland
www.preve-eu.org
Completion of 3rd phase
White paperICT ResearchDirections in
PrimaryPrevention
(T3.4)
Select the diseases &
bestpractices
(T2.1)
Usersegments &
Personalprofiles
(T2.2 – 4)
Business models and validation(T3.1 – 3)
WorkshopsBarcelona16.3.2010
Milan8.11.2010
Belfast14.6.2010
1.12.200931.11.2010
www.preve-eu.org
CURRENT STATUS (CONTINUED)
Prevention of diseases
www.preve-eu.org
The health co-production ECO-system
Policies
Incentives
Barriers
Co-
producers
HealthGPS(digital avatar)
Political, social, economic environment
Platform services (security, ID)
PHR
www.preve-eu.org
The health-co-production ECO-systemThree layer ICT Business Model
• “App store” - Library of applications for managing health behaviours.
– Built by community research and innovation
– Maintained and certified by Patient-NGO’s– NEW business opportunity for SMEs
• Platform(s) for ICT-services.– Built and maintained by enterprise
vendors. – Specified and tested by EC in a (major)
CIP-like project
• The interoperability and security layer.
– Specified by Standards and Directives.
www.preve-eu.org
Co-producers / co-creatorsof health
personal trainers, restaurants, food markets, school,
workplace, media, healthcare professionals ...
www.preve-eu.org
Society”upstream”
Individual”downstream”
Communities
Organizations
Friends & family
The environment matters”Preloading” to create favourable conditions
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Examples of business caseswho ”owns” the customer
• Worried well & Fitness– Individuals pay out of their own pocket– Third party life insurance companies are interested
• Corporate wellness– The company makes H&W services available to employees– Reduction in insurance premiums (sickness, retirement)
• Society – policies – School wellness programs
• Integrated care providers (e.g. Kaiser Permanente)– If prevention is the best strategy it will be in the interest of IC providers to
keep patients out of hospitals
• Health-related consumer goods & service industries – Food & beverage– Sports & fitness– Media & edutainment– Consumer electronics
www.preve-eu.org
PREVE specific impacts
• Facilitating the development of prospective aspects of ICT-enabled prevention of diseases
– “White Paper” – ICT research directions
• Reduced hospitalisation and improved disease management and treatment at the point of need, through more precise assessment of health status
– Proactive health management, i.e. Primary prevention
• Economic benefits for health systems without compromising quality of care– Freeing scarce resources to the care of the ill
• Reinforced leadership and innovation of the industry in the area of Personal Health Systems and medical devices. New business models for health service providers and insurance sectors
– Health behaviours, Personalization, Networked business models, N = 1, …
• Improved links and interaction between patients and doctors facilitating more active participation of patients in care processes
– Co-creator network, Individual + Environment
• Accelerating the establishment of interoperability standards and of secure, seamless communication of health data between all involved partners, including patients
– Continua, HL7 contacts
PREVE partners
Valtion teknillinen tutkimuskeskus, VTT
Aarhus University
Fondazione Centro San Raffaele del Monte Tabor
Universidad Politécnica de Valencia