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Items: 1 to 20 of 38

1.
2.

Computerized techniques pave the way for drug-drug interaction prediction and interpretation.

Safdari R, Ferdousi R, Aziziheris K, Niakan-Kalhori SR, Omidi Y.

Bioimpacts. 2016;6(2):71-8. doi: 10.15171/bi.2016.10. Epub 2016 Jun 16. Review.

3.

Impact of electronic-alerting of acute kidney injury: workgroup statements from the 15(th) ADQI Consensus Conference.

Hoste EA, Kashani K, Gibney N, Wilson FP, Ronco C, Goldstein SL, Kellum JA, Bagshaw SM; 15 ADQI Consensus Group..

Can J Kidney Health Dis. 2016 Feb 26;3:10. doi: 10.1186/s40697-016-0101-1. eCollection 2016. Review.

4.

New Alert Override Codes for the Drug Utilization Review System Derived from Outpatient Prescription Data from a Tertiary Teaching Hospital in Korea.

Jang C, Yoo KB, Kim W, Park MY, Ahn EK, Park RW.

Healthc Inform Res. 2016 Jan;22(1):39-45. doi: 10.4258/hir.2016.22.1.39. Epub 2016 Jan 31.

5.

Important drug classes associated with potential drug-drug interactions in critically ill patients: highlights for cardiothoracic intensivists.

Baniasadi S, Farzanegan B, Alehashem M.

Ann Intensive Care. 2015 Dec;5(1):44. doi: 10.1186/s13613-015-0086-4. Epub 2015 Nov 24.

6.

Alert dwell time: introduction of a measure to evaluate interruptive clinical decision support alerts.

McDaniel RB, Burlison JD, Baker DK, Hasan M, Robertson J, Hartford C, Howard SC, Sablauer A, Hoffman JM.

J Am Med Inform Assoc. 2016 Apr;23(e1):e138-41. doi: 10.1093/jamia/ocv144. Epub 2015 Oct 24.

7.

Differences of Reasons for Alert Overrides on Contraindicated Co-prescriptions by Admitting Department.

Ahn EK, Cho SY, Shin D, Jang C, Park RW.

Healthc Inform Res. 2014 Oct;20(4):280-7. doi: 10.4258/hir.2014.20.4.280. Epub 2014 Oct 31.

8.

Management of drug interactions with beta-blockers: continuing education has a short-term impact.

Driesen A, Simoens S, Laekeman G.

Pharm Pract (Granada). 2006;4(3):143-50.

9.

DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.

Luo H, Zhang P, Huang H, Huang J, Kao E, Shi L, He L, Yang L.

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W46-52. doi: 10.1093/nar/gku433. Epub 2014 May 29.

10.

Evaluation of medication alerts in electronic health records for compliance with human factors principles.

Phansalkar S, Zachariah M, Seidling HM, Mendes C, Volk L, Bates DW.

J Am Med Inform Assoc. 2014 Oct;21(e2):e332-40. doi: 10.1136/amiajnl-2013-002279. Epub 2014 Apr 29.

11.

Research into practice: safe prescribing.

Avery AJ, Rodgers S, Franklin BD, Elliott RA, Howard R, Slight SP, Swanwick G, Knox R, Gookey G, Barber N, Sheikh A.

Br J Gen Pract. 2014 May;64(622):259-61. doi: 10.3399/bjgp14X679895. No abstract available.

12.

Understanding and preventing drug-drug and drug-gene interactions.

Tannenbaum C, Sheehan NL.

Expert Rev Clin Pharmacol. 2014 Jul;7(4):533-44. doi: 10.1586/17512433.2014.910111. Epub 2014 Apr 19. Review.

13.

The causes of prescribing errors in English general practices: a qualitative study.

Slight SP, Howard R, Ghaleb M, Barber N, Franklin BD, Avery AJ.

Br J Gen Pract. 2013 Oct;63(615):e713-20. doi: 10.3399/bjgp13X673739.

14.

The evidence for the effectiveness of safety alerts in electronic patient medication record systems at the point of pharmacy order entry: a systematic review.

Ojeleye O, Avery A, Gupta V, Boyd M.

BMC Med Inform Decis Mak. 2013 Jul 1;13:69. doi: 10.1186/1472-6947-13-69. Review.

15.

Perceived impact of electronic medical records in physician office practices: a review of survey-based research.

Bassi J, Lau F, Lesperance M.

Interact J Med Res. 2012 Jul 28;1(2):e3. doi: 10.2196/ijmr.2113.

16.

Potential drug-drug interactions in prescriptions to patients over 45 years of age in primary care, southern Brazil.

Teixeira JJ, Crozatti MT, dos Santos CA, Romano-Lieber NS.

PLoS One. 2012;7(10):e47062. doi: 10.1371/journal.pone.0047062. Epub 2012 Oct 10.

17.

Lessons from a successful implementation of a computerized provider order entry system.

Jacobs BR, Hallstrom CK, Hart KW, Mahoney D, Lykowski G; Clinical Informatics Outcomes Research Group..

J Pediatr Pharmacol Ther. 2007 Apr;12(2):102-14. doi: 10.5863/1551-6776-12.2.102.

18.

Physicians' perceptions on the usefulness of contextual information for prioritizing and presenting alerts in Computerized Physician Order Entry systems.

Jung M, Riedmann D, Hackl WO, Hoerbst A, Jaspers MW, Ferret L, Lawton K, Ammenwerth E.

BMC Med Inform Decis Mak. 2012 Oct 2;12:111. doi: 10.1186/1472-6947-12-111.

19.

Evaluating the effectiveness of clinical alerts: a signal detection approach.

Ong MS, Coiera E.

AMIA Annu Symp Proc. 2011;2011:1036-44. Epub 2011 Oct 22.

20.

Development of a context model to prioritize drug safety alerts in CPOE systems.

Riedmann D, Jung M, Hackl WO, Stühlinger W, van der Sijs H, Ammenwerth E.

BMC Med Inform Decis Mak. 2011 May 25;11:35. doi: 10.1186/1472-6947-11-35.

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