Mining the Bibliome - Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare - page 90

Of course, this is not to suggest that traditional, clinical-based query of the literature
will be replaced. Instead, bibliome mining techniques can further enhance knowl-
edge seeking tasks.
Thus, while the growth of biomedical data will continue to expand in terms of
volume as well as scope, the systematic cataloging and interpretation as available in
biomedical literature (both as traditional scientifi c inquiry driven publications and
purely data description publications) will be essential for the ultimate leveraging of
data for purposes beyond those that were used for their initial generation. For learn-
ing healthcare systems to fully advance using all the knowledge available, they need
to leverage not only those data that were generated to support a given healthcare
environment but also those data that may have been generated for some other pur-
pose. The key role of bibliome mining is thus to identify how those data that are not
primarily associated with a given learning healthcare query may be relevant.

Discussion Points

￿ Describe the pivotal role that biomedical literature has for both hypothesis gen-
eration and hypothesis testing.
￿ What are the advantages/disadvantages of indexed systems like MEDLINE?
￿ Do bibliome mining techniques only rediscover what is already known? How
might one evaluate novelty of fi ndings from bibliome mining?

￿ What are practical considerations when using bibliome mining for: (1) Research?

[or other T1 contexts]; (2) Clinical practice? [or other T2 contexts]; or (3)
Community Guidance? [or other T3+ contexts]

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