Information Technology Reference
In-Depth Information
provide readers with the basic knowledge and understanding needed to apply TI
principles in multiple settings, from policy making to research to clinical practice
to population health. Ultimately, such a goal is, in our opinion, critical to achieving
the transformation of our healthcare system into one that uses the best possible
science to inform and enable a shift from an emphasis on episodic “sick care” to a
new and more effective and desirable emphasis on longitudinal wellness and health
maintenance.
Discussion Points
￿ What are motivating and contemporary factors for the formulation TI vision?
￿ What trends in the broad biomedical and healthcare domains are infl uencing or
otherwise motivating the preceding factors?
￿ What are the critical strategic research foci, implementation science best prac-
tices, and workforce development needs associated with the vision of TI and
knowledge-based healthcare?
￿ How does the TI vision relate to our ability to transform the delivery of both
clinical care and wellness promotion, such that the quality, safety, and effi cacy of
such efforts are improved, while simultaneously decreasing the costs and com-
plexity of doing so?
￿ How does the TI vision relate to our ability accelerate the speed with which
discoveries in the basic sciences are translated into actionable and widely uti-
lized diagnostic and/or therapeutic strategies?
References
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2. Embi PJ, Payne PR. The role of biomedical informatics in facilitating outcomes research: cur-
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3. Payne PR, Johnson SB, Starren JB, Tilson HH, Dowdy D. Breaking the translational barriers:
the value of integrating biomedical informatics and translational research. J Investig Med.
2005;53(4):192-200. PubMed PMID: 15974245, Epub 2005/06/25.
4. Payne PR, Embi PJ, Sen CK. Translational informatics: enabling high throughput research
paradigms. Physiol Genomics. 2009;39(3):131-40.
5. Auffray C, Chen Z, Hood L. Systems medicine: the future of medical genomics and health-
care. Genome Med. 2009;1(1):2.1-2.11.
6. Barabasi AL, Oltvai ZN. Network biology: understanding the cell's functional organization.
Nat Rev Genet. 2004;5:101-13.
7. Butcher EC, Berg EL, Kunkel EJ. Systems biology in drug discovery. Nat Biotechnol.
2004;22(10):1253-9.
8. Hood L, Perlmutter RM. The impact of systems approaches on biological problems in drug
discovery. Nat Biotechnol. 2004;22(10):1215-7.
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