In order to understand the decision-making process in a Radiology Department, taking the Magnetic Resonance Equipment as an example, this paper reports a project to be followed. It is a guideline for future work development regarding Technology Assessment in Radiology. The Theoretical Framework is divided is three big issues. The first is “Technology Assessment”. Starting with the definition of some important concepts, the history and development of Technology Assessment will be addressed. The aim of this issue is to give a general main idea concerning TA contextualization. Doing a transposition of this subject to health area, it is also important to understand the particularities of Health Technology Assessment, second issue. Portugal framework on this subject will also be addressed. As so, the Portuguese National Health System is characterized and the decision-making stakeholders identified, has well as the competences for the decision-making process in general. The third issue is Decision-Making and its aim is to give a general elucidation on decision-making matters. To accomplish this, a research methodology was outlined, so that six research questions could be answered and five hypotheses could be accepted or refuted, in the future. With this research methodology, the Portuguese state of the art Magnetic Resonance equipment existence will be studied, using a survey as a resource. In the future, a mapping stakeholder technique will be used to identify the decision making key stakeholders and a survey will be applied to map theirs skills and competences in the process, where a pre-test was already applied. The results of this pre-test are presented.

The present work deals with the use of innovation indicators in the decision-making process. It intends to contribute to the discussion on the construction, use and analysis of indicator systems and also to evaluate its weight on decision-making in innovation. The goal is to help understand how innovation indicators can influence technology policy and through it, society at large. This work will start by analysing the use of indicators (their problems and consistency) and other sources of information that contribute to build the opinions of innovation decision makers. This will be followed by a survey and interviews with main innovation actors. The results will shed light on the impact of the use of indicators by the innovation community – both in terms of technology policy and in the social sphere. Proposals and implications for the future will be advanced, hopefully adding new contributions to the governance of the science, technology and innovation field.

Technology assessment is essentially an approach, a collective of the systematic methods used to scientifically investigate the conditions for and the consequences of technology and technicising and to denote their societal evaluation. It is an investigation about the technological developments as well as an evaluation of its potential impacts on society. The assessment of emerging technologies, however, requires special attention. Brain-Computer Interface (BCI) is an emerging technology which allows for the direct communication between the brain and an external device. It is a truly direct connection, with no use of the normal output pathways of peripheral nerves and muscles, allowing for the brain to have control over objects and software without intermediates. To address these kinds of technologies at early stages of development, Constructive Technology Assessment (CTA), a member of Technology Assessment approaches, has been considered as one of the most fitting approaches. As an emerging technology, BCI is at its early stages of research and thus many challenges are still ahead. Mainstream adoption is not expected in least 10 years many challenges are yet to be overcome. Therefore, the objective of this article is to discuss and present a methodological approach to assess brain-computer interface technology considering constructive technology assessment and future oriented technology analysis as the main processes to undertake the assessment. The assessment will focus only on the non-invasive type of BCI and for medical applications in three defined areas: Communication & Control, Motor Substitution and Motor Recovery for a time horizon of 10 years, 2022. These areas were chosen based on the capability of BCI to serve as a replacement of normal neuromuscular pathways. That makes it one of the best technologies to help people in activating and controlling assistive technologies which enable communication and control of the environment. However, the real impacts of BCI will depend directly on the development of competing technologies, and also on the improvement in BCI research. Only then, the potential applications and end users could grow dramatically.