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Mapping Wild Cards

Inspired by: workshops/meetings » Health care of the elderly is predominantly IT-based

version: 3 / updated: 2012-04-07
id: #1942 / version id: #842
mode: VIEW

Originally submitted by: Martin Fatun
List of all contributors by versions (mouse over)
Last changed by: Rafael Popper
WI-WE status:
unpublished

Source of inspiration

Workshops/Meetings

iKnow workshop country name

Czech Republic

Workshop date

March 2010

Headline

(max. 9 words)

Health care of the elderly is predominantly IT-based

Description

(approx. 150 words)
Please describe the Wild Card (approx. 150 words)
Currently state budgets on health care for the ageing population are rising. This wildcard revolves around robots and technology being used more in caring for the elderly, especially to save on costs.

Keywords

ICT, elderly, health care, ageing, robots

Mini-description

(max. 250 characters)

This wildcard revolves around robots and technology being used more in caring for the elderly, especially to save on costs.

Likelihood

Closest timeframe for at least 50% likelihood
Please use one of the following options:
now-2025

Features of life if the wild card manifests

Feature 1: business models and industrial environment
Old-age technology becomes a big business: health systems spend more money on technology than on care Social workers become technicians
Feature 2: education and research environment
Collaboration of SSH with health & ICT research leading to new technologies implies peoples life and health.
Feature 5: politics and global affairs
Implementation of new nano and bio technologies can lead to healthier society in long-term view and can improve the health care as such -> more competitive Europe even with aging “problem”
Feature 6: health and quality of life
Physical and psychological care combined Older person only get care robots, no human caretakers

Type of event

Human planned (e.g. terrorist attack or funded scientific breakthrough)

Type of emergence

please select (if any) describe related trend or situation
An extreme extension of a trend/development/situation
(e.g. Increased global warming leads to a total ban on fossil fuels)

Type of systems affected

Human-built Systems - E.g. organisations, processes, technologies, etc.

Classification

Desirable

Importance

please specify:
please select
Level 3: important for the European Union

Latent phase

Obstacles for early indentification

economic filters (business/market interests)
social filters (class, status, education level)

Manifestation phase

Type of manifestation

In a probably enclosed way (e.g. geographically, sectorally)

Aftermath phase

Important implications
Transformation of a system (e.g. new applications, change in stakeholders relations/influence)

Key drivers or triggers

Provide up to 2 possible drivers or triggers of HIGH importance. Click on HELP to see examples:
please describe
Driver / Trigger 1
please describe
Driver / Trigger 2
Social Aging of population
Technological/Scientific New technologies
Economic Savings in health care system

Potential impacts (risks & opportunities)

Timeframe options
Risks Opportunities
short term
(1 to 5 years after the Wild Card manifests)
Older person only get care robots, no human caretakers -> social exclusion

Potential stakeholders' actions

before
it occurs
after
it occurs
Academic/Research sector Technological and social research go hand in hand
Non-for-profit organisations (e.g. NGOs, political parties, social movements, voluntary associations) Social network for mutual healthcare – for not to loose the sense of
Media Destroy mental barriers of elderly people against new technologies

Relevance for Grand Challenges

where? please justify:
particularly relevant Europe world
Ageing and other demographic tensions
Diseases, health and well-being
Social cohesion and diversity

Relevance for thematic research areas

please justify:
particularly relevant
Health
ICT - Information & communication technologies
Nanosciences, nanotech, materials & new prod. tech.
Social Sciences and Humanities

Pan-European strategies potentially helping to deal with the wild card

please justify:
particularly relevant
Facilitating and promoting knowledge sharing and transfer

 Features of a research-friendly ecology contributing to deal with the wild card

For further information about 'research-friendly strategies' click here

please justify:
particularly relevant
Creating a closer link between researchers & policy-makers
(e.g. supporting both thematic and cross-cutting policies, highlighting the strategic purpose of the European Research Area, etc.