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Mapping Wild Cards

Inspired by: FP7 » Rapid-Diagnosis-Machines

version: 5 / updated: 2011-01-27
id: #1516 / version id: #530
mode: VIEW

Originally submitted by: Cornelia Daheim
List of all contributors by versions (mouse over)
Last changed by: Sivert von Saldern
WI-WE status:
submitted unpublished

Source of inspiration

European Commission Framework Programme for RTD (FP7)

Theme/activity of inspiration

Theme 1 - Health

Sub-theme/area of inspiration

Detection, diagnosis and monitoring

Uploaded reports, images or pictures related to the Wild Card

File name File type File size
Rapid_Diagnosis.jpg image 163637 open

Headline

(max. 9 words)

Rapid-Diagnosis-Machines

Description

(approx. 150 words)
Please describe the Wild Card (approx. 150 words)
"Labs-on-a-chip" have been introduced for time-saving and automatic diagnosis and detection of diseases. These new forms of diagnosis are comparable to ticket machines which are located in all areas of daily life such as supermarkets, gas stations or pharmacies: The patient comes by anytime, enters his symptoms if necessary, gives a blood or urine sample and receives a diagnosis and prescription or referral to a medical specialist or pharmacist from the machine.

Keywords

rapid diagnosis, machines, diseases, detection, daily life

Mini-description

(max. 250 characters)

"Labs-on-a-chip" have been introduced for time-saving and automatic diagnosis and detection of diseases. These new forms of diagnosis are comparable to ticket machines which are located in all areas of daily life such as supermarkets or gas stations.

Likelihood

Closest timeframe for at least 50% likelihood
Please use one of the following options:
now-2050

Features of life if the wild card manifests

Feature 7: security and defence
There might be a growing demand for the protection of privacy, especially the protection of sensitive data on the mental and physical constitution of patients. Hackers might try to gain access to the data stored in the machines and misuse it.

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

Mixed

Importance

please specify:
please select
Level 4: important for the whole world

Early indicators

(including weak signals)

An ever growing number of mobile diagnosis tools enable the direct analysis of blood and saliva.

Latent phase

Obstacles for early indentification

information/communicational filters (media/editorial interests, language, reasoning)
institutional filters (rules, laws, regulations)
economic filters (business/market interests)
affective filters (emotions, anxiety, self-doubt)

Manifestation phase

Type of manifestation

In a probably pervasive way (contagious or transmittable)

Aftermath phase

Important implications
Emergence of a new system (e.g. new technologies, new paradigms)
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 One striking driver might be the cost explosion in the healthcare sector and the growing demand for "do-it-yourself"-solutions.

Relevance for Grand Challenges

where? please justify:
particularly relevant Europe world
Diseases, health and well-being
Ethics and abuse of S&T
Social exclusion & poverty

Relevance for thematic research areas

please justify:
particularly relevant
Health
ICT - Information & communication technologies

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

please justify:
particularly relevant
Developing and funding world-class research infrastructures
Fostering and facilitating coherent international cooperation in science and technology

 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.

Relevance for future R&D and STI policies

Note: RTD = research and technology development; STI = science, technology and innovation
Effective security technologies for Rapid-Diagnosis-Machines have to be developed. On the one hand they have to ensure safety of private, sensitive data (e.g. by only permitting access to data by applying biometric identification techniques). On the other hand they have to guarantee the reliability of the technical systems in order to avoid invalid diagnosis and recommendations.