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Items: 1 to 20 of 135

1.

Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications.

McCoy AB, Wright A, Laxmisan A, Ottosen MJ, McCoy JA, Butten D, Sittig DF.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):713-8. doi: 10.1136/amiajnl-2012-000852.

2.

Development of a clinician reputation metric to identify appropriate problem-medication pairs in a crowdsourced knowledge base.

McCoy AB, Wright A, Rogith D, Fathiamini S, Ottenbacher AJ, Sittig DF.

J Biomed Inform. 2014 Apr;48:66-72. doi: 10.1016/j.jbi.2013.11.010.

3.

Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

McCoy AB, Wright A, Krousel-Wood M, Thomas EJ, McCoy JA, Sittig DF.

Appl Clin Inform. 2015 May 20;6(2):334-44. doi: 10.4338/ACI-2015-01-RA-0010.

4.

A prototype knowledge base and SMART app to facilitate organization of patient medications by clinical problems.

McCoy AB, Wright A, Laxmisan A, Singh H, Sittig DF.

AMIA Annu Symp Proc. 2011;2011:888-94.

5.

A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record.

Wright A, Pang J, Feblowitz JC, Maloney FL, Wilcox AR, Ramelson HZ, Schneider LI, Bates DW.

J Am Med Inform Assoc. 2011 Nov-Dec;18(6):859-67. doi: 10.1136/amiajnl-2011-000121.

6.

Validation of an association rule mining-based method to infer associations between medications and problems.

Wright A, McCoy A, Henkin S, Flaherty M, Sittig D.

Appl Clin Inform. 2013 Mar 6;4(1):100-9. doi: 10.4338/ACI-2012-12-RA-0051.

7.

Comparison of clinical knowledge bases for summarization of electronic health records.

McCoy AB, Sittig DF, Wright A.

Stud Health Technol Inform. 2013;192:1217.

PMID:
23920991
8.

Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing.

Zhai H, Lingren T, Deleger L, Li Q, Kaiser M, Stoutenborough L, Solti I.

J Med Internet Res. 2013 Apr 2;15(4):e73. doi: 10.2196/jmir.2426.

9.

Automated dose-rounding recommendations for pediatric medications.

Johnson KB, Lee CK, Spooner SA, Davison CL, Helmke JS, Weinberg ST.

Pediatrics. 2011 Aug;128(2):e422-8. doi: 10.1542/peds.2011-0760. Review.

10.

Medication-indication knowledge bases: a systematic review and critical appraisal.

Salmasian H, Tran TH, Chase HS, Friedman C.

J Am Med Inform Assoc. 2015 Nov;22(6):1261-70. doi: 10.1093/jamia/ocv129. Review.

11.

Accuracy of pharmacy benefit manager medication formularies in an electronic health record system and the Epocrates mobile application.

Andrus MR, Forrester JB, Germain KE, Eiland LS.

J Manag Care Spec Pharm. 2015 Apr;21(4):281-6.

12.

Validation and enhancement of a computable medication indication resource (MEDI) using a large practice-based dataset.

Wei WQ, Mosley JD, Bastarache L, Denny JC.

AMIA Annu Symp Proc. 2013 Nov 16;2013:1448-56.

13.

Medication and indication linkage: A practical therapy for the problem list?

Burton MM, Simonaitis L, Schadow G.

AMIA Annu Symp Proc. 2008 Nov 6:86-90.

14.

Assessing the accuracy of an inter-institutional automated patient-specific health problem list.

Poissant L, Taylor L, Huang A, Tamblyn R.

BMC Med Inform Decis Mak. 2010 Feb 23;10:10. doi: 10.1186/1472-6947-10-10.

15.

A trial of indication based prescribing of antihypertensive medications during computerized order entry to improve problem list documentation.

Falck S, Adimadhyam S, Meltzer DO, Walton SM, Galanter WL.

Int J Med Inform. 2013 Oct;82(10):996-1003. doi: 10.1016/j.ijmedinf.2013.07.003.

PMID:
23932754
16.

Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

Séverac F, Sauleau EA, Meyer N, Lefèvre H, Nisand G, Jay N.

BMC Med Inform Decis Mak. 2015 Apr 15;15:29. doi: 10.1186/s12911-015-0151-9.

17.

Improving the validity of determining medication adherence from electronic health record medications orders.

Carroll NM, Ellis JL, Luckett CF, Raebel MA.

J Am Med Inform Assoc. 2011 Sep-Oct;18(5):717-20. doi: 10.1136/amiajnl-2011-000151.

18.
19.

Analysis of medication and indication occurrences in clinical notes.

Sohn S, Liu H.

AMIA Annu Symp Proc. 2014 Nov 14;2014:1046-55.

20.

Medication error in the care of HIV/AIDS patients: electronic surveillance, confirmation, and adverse events.

DeLorenze GN, Follansbee SF, Nguyen DP, Klein DB, Horberg M, Quesenberry CP Jr, Blick NT, Tsai AL.

Med Care. 2005 Sep;43(9 Suppl):III63-8.

PMID:
16116310
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