Information Technology Reference
In-Depth Information
tight coupling of implementation science and technology-based intervention
strategies; and (3) enhanced and expanded workforce development relative to the
creation of a TI-focused community consisting of both innovators and practitioners.
We will explore each of these areas in the following sub-sections:
1.4.1
Strategic and Operational Foci
In order to advance and sustain both the knowledge base and downstream practices
incumbent to the TI vision, it will be essential for the health and life science com-
munities, as well as the broader community of interested parties, to identify and
engage in the systematic pursuit of core strategic and operational foci. It is only
though collective effort and the combinatorial effect of the information and knowl-
edge gained from such endeavors that we can realize the potential benefi ts of the TI
vision and a knowledge-driven approach to healthcare. These focus areas include:
￿
The support and pursuit of scientifi c programs that combine Biomedical
Informatics and driving biological or clinical problems in order to achieve trans-
lational science end-points ;
￿
The re-alignment of scientifi c and applications-level policies and cultural norms
with a systems-thinking approach to decision making, hypothesis generation/
testing, research funding, care delivery, and career development for individuals
pursuing such efforts ;
￿
Continued development and validation of core Biomedical Informatics theories
and methods that can contribute to fi lling in gaps in knowledge and practice
pertaining to the aforementioned “working” central dogma for the fi eld ;
￿
The creation and demonstration of “real world” LHCs that can positively impact
the quality, safety, effi ciency, and outcomes of clinical care, as informed by virtu-
ous cycles of evidence generation and practice ;
￿
The refi nement of core theories, methods, and models by which precision medi-
cine paradigms can be used to ensure that clinical care is informed by the best
possible science ; and
￿
The ongoing development and utilization of “Big Data” theories and methods
that will enable a broad spectrum of individuals to ask and answer meaningful
questions in a high throughput manner relative to all types of data exhibiting one
or more of the “3Vs”
1.4.2
The Role of Implementation Science
At the same time that the preceding strategic and research foci are pursued, it is of
great importance that a parallel and complementary application of implementation
science principles be pursued. In this context, we defi ne implementation science as:
Search WWH ::




Custom Search