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PREVE project overview - months 1-6
1. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
PREVE Overview
Project Months 1-6
Niilo Saranummi
VTT Technical Research Centre of Finland
This project is partially funded under the 7th Framework Programme by the European Commission
3. 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
4. What PREVE delivers
Impact
• 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
5. 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
8. 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
9. 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
10. Health behaviours,
Personalization, Environment
Co-
producer ICT in Disease Prevention
network
Networked business models
Prevention of diseases Value proposition, validation
HOW
PREVENTABLE DISEASES ICT ENABLED PRIMARY PREVENTION
www.preve-eu.org
11. PREVE workflow – 3 phases
Where we are now
Barcelona Workshops Milan
16.3.2010 8.11.2010
Belfast
14.6.2010
M9 31.11.2010
1.12.2009
Select the User White paper
Business ICT Research
diseases & segments &
models and Directions in
best Personal
validation Primary
practices profiles Prevention
(T3.1 – 3)
(T2.1) (T2.2 – 4) (T3.4)
www.preve-eu.org
12. Workflow in more detail
Personas
Demand (WP2, Completed)
Preventable Clinical risk Health Personal Intervention
diseases factors behaviours profiling needs
Co- Individual +
Co-creators
producers Environment
”My Health Business Value Business Brokering of
Project” cases proposition models best fit
Supply (WP3, WIP)
www.preve-eu.org
13. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
WP2 – Analysis of the Domain
Vicente Traver
Universidad Politécnica de Valencia
vtraver@upvnet.upv.es
This project is partially funded under the 7th Framework Programme by the European Commission
14. WP2 goal
General objective:
TO PERFORM AN IN-DEPTH ANALYSIS OF
THE DOMAIN OF PERSONAL HEALTH
SYSTEMS (PHS) IN PREVENTION
www.preve-eu.org
15. 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
16. 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
17. WP2 alignment within PREVE
Workshops
Barcelona Milan
16.3.2010 8.11.2010
WP2
Belfast
14.6.2010
31.11.2010
1.12.2009
Select the User White paper
Business ICT Research
diseases & segments &
models and Directions in
best Personal
validation Primary
practices profiles Prevention
(T3.1 – 3)
(T2.1) (T2.2 – 4) (T3.4)
www.preve-eu.org
18. WP2 Outputs and milestones
1st PREVE Workshop, March 16th, 2010, and Advisory
Panel Meetings in Barcelona, March 15th and 16th.
D2.1 Selection of the D2.2 Selection of the
relevant diseases and their relevant diseases and their
prevention strategies prevention strategies (final
(draft) (M3) version) (M4)
1st milestone
www.preve-eu.org
19. WP2 Outputs and milestones
2nd PREVE Workshop, June 14th, 2010, and Advisory
Panel Meetings in Belfast, June 13th and 14th.
D2.3 User segmented D2.4 User segmented
intervention strategies intervention strategies
(draft) (M6) (final version) (M7)
2nd milestone
www.preve-eu.org
20. 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
21. 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 profiling
and choosing intervention strategies
www.preve-eu.org
22. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
Task 2.1 - The Citizen as Co-producer of Health &
Conceptual Framework for Chronic Disease
Niels Boye
University of Aarhus, Denmark
This project is partially funded under the 7th Framework Programme by the European Commission
23. The Citizen as Co-producer of Health –
enabled by ICT
Health Service Delivery
Citizen as proactive subject
Client Centred Approach Citizen as co-Producer of
Patient Centred Medicine Health
Disease prevention
Disease compensation
Model &
Concepts
(Disease cure)
Assisted living
Maturity of ICT
User as Operator
Expert Systems User as User
Contemporary Layman Systems
Corporate Centred State of the Art Ambient Assisted Living Individual Centred
in ICT and
Empowerment
Citizen as object
www.preve-eu.org
24. The “Present Terrain”
“Biological age” (“years”)
Demand side 100 AAL
Supply side
0 100 %
(100% Patient
Citizen)
Tele
Prevention
med
0
www.preve-eu.org
25. The Future.........
“Biological age” (“years”)
100
Chronic
Preven- AAL Tele-
Disease
tion medicine
Management
and
D D
Lifestyle
(100%
Patient
Citizen) D D
100 %
0
0
Society Hospital
www.preve-eu.org
26. 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 –
Personal Guidance Services (PGS)
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
27. 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
28. Decision support
information flows
Data - and
Clinical Information
encounter flow
EHR
HMO/ Research/
Region Pharmaceutical Co Health-PGS
Quality (digital avatar)
Assurance
Healthcare
Co-production
Research Hospital Patient-NGO
www.preve-eu.org
29. 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
www.preve-eu.org
30. 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
31. Evidence Based Associations between Risk
Factors and Conditions
Diseases and Disorders Risk Factors
Type 2-diabetes Tobacco smoking
Preventable cancer Alcohol consumption
Cardiovascular disease Diet
Osteoporosis Physical activity
Musculoskeletal disorders Obesity
Hypersensitivity disorders Accidents
Mental disorders Working environment
Chronic obstructive pulmonary disease Environmental factors
www.preve-eu.org
32. Co-production of Disease Prevention
Connections between Risk Factors and Conditions
Citizen Modifiable Risk Factors
Tobacco smoking Conditions
Citizen Modifiable Risk Factors
Type 2-diabetes
Alcohol consumption
Preventable cancer
Diet
Cardiovascular disease
Physical inactivity
Osteoporosis
Obesity
Non-Modifiable Risk Factors Musculoskeletal disorders
Accidents
Hypersensitivity disorders
Working environment
Mental disorders
Environmental factors
Chronic obstructive
pulmonary disease
Family history and gender
www.preve-eu.org
33. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
Task 2.2 – Analysis of primary and secondary
prevention strategies deployed in ongoing EU
funded PHS projects and of the market place
Teresa Meneu
UPVLC Universidad Politécnica de Valencia
This project is partially funded under the 7th Framework Programme by the European Commission
34. 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
www.preve-eu.org
35. Main Figures
Focus of the prevention projects
40%
35%
30%
25%
20%
15%
10%
5%
0%
www.preve-eu.org
36. Main Figures
Focus of the prevention websites
20%
18%
16%
14%
12%
10%
8%
6%
4%
2%
0%
www.preve-eu.org
37. Main Figures
Type of products
18
16
14 4
12
10 Other products
8
1 Videogames
6 12
4 3 7 2
6
2 3 3
2 2 2
0
www.preve-eu.org
38. Main Figures
Most Common Risk Factors
50%
45%
40%
35%
30%
25% Projects
20%
Websites /
15%
Organizations
10%
5%
0%
Diet Physical Obesity Others
inactivity
www.preve-eu.org
39. Public Health Campaigns
Dietary
Habits,
Tobacco Alcohol Physical Melanoma Vaccination Drugs
Activity &
Obesity
www.preve-eu.org
40. 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
42. 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
43. 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).
www.preve-eu.org
44. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
Task 2.3 – Personal profile, motivation,
user segmentation
Kirsikka Kaipainen
VTT Technical Research Centre of Finland
Kirsikka.Kaipainen@vtt.fi
This project is partially funded under the 7th Framework Programme by the European Commission
45. 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 dimensions
that could influence the intervention model
• To match the identified motivation strategies with the user
segmentation produced in T2.3
www.preve-eu.org
47. 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
48. Determinants of health behaviour
Values, Social
influences Ability
personality,
life stages
Reasoned
Awareness Self-efficacy Intention
Public policy behaviour
Community
Outcome Barriers
expectations
Organizational
Automatic
behaviours
Interpersonal Environmental contexts
Individual
www.preve-eu.org
52. 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
53. PROFILE
Monitor trigger
Risk factors events and profile
Values & motivators updates
Resources
Channels Assess current Health behaviour
Current behaviours Diet
Physical Activity
Alcohol consumption OK, no Support
Smoking current risks behaviour/
Stress maintenance
Sleep
Mental well-being
Risky/poor,
Choosing
need for behaviour change
Identify
determinants to
appropriate
target
Intention per
Lack of resources
Strengthen
interventions
Evaluate progress, Strong (external, actual
behaviour? resources
outcomes and profile abilities)?
updates
Weak or nonexistent
Not aware of risks Discouraging social Unfavourable outcome
and benefits / Weak self-efficacy?
environment? expectations?
misconceptions?
Strengthen social
Improve self- Improve outcome
Educate independence /
efficacy and skills expectations
increase support
Execute the Select methods & tailor
intervention the intervention
Personal characteristics
Problem
Values & motivators characteristics
Personal resources
Co-creators
Social environment
Service environment
Physical environment
www.preve-eu.org
54. 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
www.preve-eu.org
55. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
Task 2.4 – User Segmented Intervention
Strategies
Teresa Meneu
UPVLC Universidad Politécnica de Valencia
This project is partially funded under the 7th Framework Programme by the European Commission
56. 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
57. Main Inputs
T2.4 Intervention Logic
and Profile
Draft Primary Prevention
Intervention Model &
PERSONA’s
WP3
www.preve-eu.org
58. Primary Prevention Intervention Model
DIY
Profiler
Broker
Analyze Plan
Trigger
event
Evaluate Execute
PGS
PHS
www.preve-eu.org
59. Personalized Primary Prevention
Intervention Model
DIY Which is the risk
Profiler of the individual? Broker
How to select/choose
the intervention
Analyze Plan
strategy?
Trigger
event
Evaluate Execute
PGS
How to assess the PHS How to put it in practice in
evolution and provide the concrete
readjustments? time/location/need?
www.preve-eu.org
60. Personalized Intervention Strategies
Profiling Matrix
Health behaviors Segments that would
(and intention) benefit from behavior
maintenance interventions
No risk Segments in need of
lifestyle change with
Low risk different levels of urgency
Examples of possibly
unrealistic segments
high
High risk Resources
low
Motivators
Life Stages
www.preve-eu.org
61. 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.
www.preve-eu.org
63. From Profiling to Personalized Intervention
Tailoring
Profiling
Personalized
Intervention
www.preve-eu.org
64. Monitor trigger
PROFILE events and profile
Risk factors
updates
Values & motivators
Resources Assess current Health behavior
Channels Diet
Current behaviors Physical Activity
Alcohol consumption OK, no Support behavior/
current risks maintenance
Smoking
Stress
Sleep
Mental Wellbeing
Student, motivated, healthy habits: She is a female.
Risky/poor,
need for behavior change
She is 20 years old and a student. She lives in a city
Identify
determinants to
1. Student
Strengthen
and with her boyfriend. Her main values are:
Yes
target resources
achievement, security, power and self-direction.
Evaluate progress,
outcomes and profile
Intention per
behavior?
Strong
Lack of resources
(external or actual
abilities)? 3. Middle age
updates overdoing
2. Corporate
Weak or nonexistent
wellness
Strengthen social
Intervention
Discouraging social
Yes independence /
environment?
increase support
Logic Aware of risks 5. Young old
and benefits? person
Improve self-
Weak self-efficacy? Yes
efficacy and skills
Not aware /
Male Adult, unmotivated, using services of
Misconceptions
7. Obese child
4. Housewife
community wellness: He is a male. He is 34 years Unfavourable outcome
expectations?
Yes
Improve outcome
expectations
old and employed. He lives in a city with his wife.
6. Community
wellness
His main values are: security, tradition and
Educate
Execute the
intervention
benevolence. Select methods & tailor
the intervention
Personal characteristics
Values & motivators Problem
Personal resources characteristics
Co-creators
Social environment
Service environment
Physical environment
www.preve-eu.org
65. 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
66. 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
67. 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
68. 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.
www.preve-eu.org
69. Directions for ICT Research in Disease Prevention
FP7-ICT-2009.5.1 – Support Action
Outlook
Months 7 – 12
Niilo Saranummi
VTT Technical Research Centre of Finland
This project is partially funded under the 7th Framework Programme by the European Commission
70. Completion of 3rd phase
Workshops
Barcelona Milan
16.3.2010 8.11.2010
Belfast
14.6.2010
31.11.2010
1.12.2009
Select the User White paper
Business ICT Research
diseases & segments &
models and Directions in
best Personal
validation Primary
practices profiles Prevention
(T3.1 – 3)
(T2.1) (T2.2 – 4) (T3.4)
www.preve-eu.org
73. The health-co-production ECO-system
Three 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
74. Co-producers / co-creators
of health
personal trainers, restaurants, food markets, school,
workplace, media, healthcare professionals ...
www.preve-eu.org
75. The environment matters
”Preloading” to create favourable conditions
Society
”upstream”
Communities
Organizations
Friends
Individual & family
”downstream”
www.preve-eu.org
76. Examples of business cases
who ”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
77. 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
www.preve-eu.org
78. PREVE partners
Valtion teknillinen tutkimuskeskus, VTT
Aarhus University
Fondazione Centro San Raffaele del
Monte Tabor
Universidad Politécnica de Valencia
