Information Technology Reference
In-Depth Information
10.2.1.3
Lowering the Barriers to Adopting/Adapting Data Standards
Despite the presence of many standards available for the various types of data that
will need to be exchanged, there are many more that are underdeveloped or simply
nonexistent for rapidly emerging types of data essential to translational science.
Moreover, the adoption of said standards by various stakeholders including vendors
and healthcare organizations has traditionally been challenging, requiring signifi -
cant and limited expertise and resources. In order to realize the vision of a learning
health system and translational informatics capacity, standards to govern the use
storage and retrieval of not only clinical but research specifi c data must be improved
such that it is clear which standards are necessary for particular purpose and their
adoption and application can be readily operationalized across multiple settings.
10.2.1.4
Improving UX (User Experience)
Any system is only as valuable to an end user as is the interface that user interacts
with. Unfortunately, health IT systems have traditionally been plagued by limited
attention to the next level user experience, the kind of experience that has become
common in consumer applications such as smart phones. Given the complexities
inherent in integrating and interpreting data in order to then apply it in real world
clinical settings (as is required to translation knowledge into practice), user inter-
face design will become increasingly critical part of the informatics efforts need to
establish a translational informatics infrastructure.
10.2.2
Overcoming Socio-cultural Barriers to Team Science,
Rapid Cycle Translation, and Systems Thinking
10.2.2.1
Creating Understanding of Open/Active Research Questions
and Systems Thinking
In the future, it will be the responsibility of not just researchers but also clinicians
and even patients to actively develop and contribute to the research process. In order
to enable the kind of activity those who currently do not consider the development
and pursuit of research or learning as part of their job will need to be properly incen-
tive to do so. Models for recognizing measuring and incentivizing subjectivity have
been proposed, and will need to be implemented in order to create a culture that
encourages participant stakeholders' contributions to translational science [
20
]. In
addition, scientists will increasingly be required to consider the clinic around more
so than make it today and bring the development of systems thinking from biology
to the very practice of translational and precision medicine. Only through such cul-
ture shifts in the clinical and biomedical scientifi c rounds will true advances in team
science and translational activities take place.
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