Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design-Reference-Cited by-同舟云学术

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Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design

Published:2015-11-30 Issue:1 Volume:15 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Islam Roosan,Weir Charlene R.,Jones Makoto,Del Fiol Guilherme,Samore Matthew H.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/article/10.1186/s12911-015-0221-z/fulltext.html

Reference91 articles.

1. Jones SS, Rudin RS, Perry T, Shekelle PG. Health information technology: an updated systematic review with a focus on meaningful use. Ann Intern Med. 2014;160(1):48–54. doi: 10.7326/M13-1531 .

2. Effken JA, Brewer BB, Logue MD, Gephart SM, Verran JA. Using cognitive work analysis to fit decision support tools to nurse managers’ work flow. Int J Med Inform. 2011;80(10):698–707. doi: 10.1016/j.ijmedinf.2011.07.003 .

3. Horsky J, Phansalkar S, Desai A, Bell D, Middleton B. Design of decision support interventions for medication prescribing. Int J Med Inform. 2013;82(6):492–503. doi: 10.1016/j.ijmedinf.2013.02.003 .

4. Sintchenko V, Coiera EW. Which clinical decisions benefit from automation? A task complexity approach. Int J Med Inform. 2003;70(2–3):309–16.

5. Sittig DF, Wright A, Osheroff JA, Middleton B, Teich JM, Ash JS, et al. Grand challenges in clinical decision support. J Biomed Inform. 2008;41(2):387–92. doi: 10.1016/j.jbi.2007.09.003 .

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