These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
176 related articles for article (PubMed ID: 19074305)
1. Effect of alerts for drug dosage adjustment in inpatients with renal insufficiency. Sellier E; Colombet I; Sabatier B; Breton G; Nies J; Zapletal E; Arlet JB; Somme D; Durieux P J Am Med Inform Assoc; 2009; 16(2):203-10. PubMed ID: 19074305 [TBL] [Abstract][Full Text] [Related]
2. Validity of a clinical decision rule-based alert system for drug dose adjustment in patients with renal failure intended to improve pharmacists' analysis of medication orders in hospitals. Boussadi A; Caruba T; Karras A; Berdot S; Degoulet P; Durieux P; Sabatier B Int J Med Inform; 2013 Oct; 82(10):964-72. PubMed ID: 23831104 [TBL] [Abstract][Full Text] [Related]
3. Prescribers' responses to alerts during medication ordering in the long term care setting. Judge J; Field TS; DeFlorio M; Laprino J; Auger J; Rochon P; Bates DW; Gurwitz JH J Am Med Inform Assoc; 2006; 13(4):385-90. PubMed ID: 16622171 [TBL] [Abstract][Full Text] [Related]
4. A trial of automated decision support alerts for contraindicated medications using computerized physician order entry. Galanter WL; Didomenico RJ; Polikaitis A J Am Med Inform Assoc; 2005; 12(3):269-74. PubMed ID: 15684124 [TBL] [Abstract][Full Text] [Related]
5. Impact of a clinical decision support system for drug dosage in patients with renal failure. Desmedt S; Spinewine A; Jadoul M; Henrard S; Wouters D; Dalleur O Int J Clin Pharm; 2018 Oct; 40(5):1225-1233. PubMed ID: 29785684 [TBL] [Abstract][Full Text] [Related]
6. Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease. Czock D; Konias M; Seidling HM; Kaltschmidt J; Schwenger V; Zeier M; Haefeli WE J Am Med Inform Assoc; 2015 Jul; 22(4):881-7. PubMed ID: 25911673 [TBL] [Abstract][Full Text] [Related]
7. The impact of real-time alerting on appropriate prescribing in kidney disease: a cluster randomized controlled trial. Awdishu L; Coates CR; Lyddane A; Tran K; Daniels CE; Lee J; El-Kareh R J Am Med Inform Assoc; 2016 May; 23(3):609-16. PubMed ID: 26615182 [TBL] [Abstract][Full Text] [Related]
8. A randomized trial of the effectiveness of on-demand versus computer-triggered drug decision support in primary care. Tamblyn R; Huang A; Taylor L; Kawasumi Y; Bartlett G; Grad R; Jacques A; Dawes M; Abrahamowicz M; Perreault R; Winslade N; Poissant L; Pinsonneault A J Am Med Inform Assoc; 2008; 15(4):430-8. PubMed ID: 18436904 [TBL] [Abstract][Full Text] [Related]
9. Drug prescribing in patients with renal impairment optimized by a computer-based, semi-automated system. Such Díaz A; Saez de la Fuente J; Esteva L; Alañón Pardo AM; Barrueco N; Esteban C; Rodríguez IE Int J Clin Pharm; 2013 Dec; 35(6):1170-7. PubMed ID: 24022723 [TBL] [Abstract][Full Text] [Related]
10. Guided medication dosing for inpatients with renal insufficiency. Chertow GM; Lee J; Kuperman GJ; Burdick E; Horsky J; Seger DL; Lee R; Mekala A; Song J; Komaroff AL; Bates DW JAMA; 2001 Dec; 286(22):2839-44. PubMed ID: 11735759 [TBL] [Abstract][Full Text] [Related]
11. Prescription order risk factors for pediatric dosing alerts. Stultz JS; Porter K; Nahata MC Int J Med Inform; 2015 Feb; 84(2):134-40. PubMed ID: 25466381 [TBL] [Abstract][Full Text] [Related]
12. Improving acceptance of computerized prescribing alerts in ambulatory care. Shah NR; Seger AC; Seger DL; Fiskio JM; Kuperman GJ; Blumenfeld B; Recklet EG; Bates DW; Gandhi TK J Am Med Inform Assoc; 2006; 13(1):5-11. PubMed ID: 16221941 [TBL] [Abstract][Full Text] [Related]
13. Randomized trial to improve prescribing safety in ambulatory elderly patients. Raebel MA; Charles J; Dugan J; Carroll NM; Korner EJ; Brand DW; Magid DJ J Am Geriatr Soc; 2007 Jul; 55(7):977-85. PubMed ID: 17608868 [TBL] [Abstract][Full Text] [Related]
14. Computerized clinical decision support during medication ordering for long-term care residents with renal insufficiency. Field TS; Rochon P; Lee M; Gavendo L; Baril JL; Gurwitz JH J Am Med Inform Assoc; 2009; 16(4):480-5. PubMed ID: 19390107 [TBL] [Abstract][Full Text] [Related]
15. Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction: a randomized controlled trial. Strom BL; Schinnar R; Aberra F; Bilker W; Hennessy S; Leonard CE; Pifer E Arch Intern Med; 2010 Sep; 170(17):1578-83. PubMed ID: 20876410 [TBL] [Abstract][Full Text] [Related]
16. Appropriateness of commercially available and partially customized medication dosing alerts among pediatric patients. Stultz JS; Nahata MC J Am Med Inform Assoc; 2014 Feb; 21(e1):e35-42. PubMed ID: 23813540 [TBL] [Abstract][Full Text] [Related]
17. Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital. Zenziper Y; Kurnik D; Markovits N; Ziv A; Shamiss A; Halkin H; Loebstein R Isr Med Assoc J; 2014 May; 16(5):289-94. PubMed ID: 24979833 [TBL] [Abstract][Full Text] [Related]
18. The medical office of the 21st century (MOXXI): effectiveness of computerized decision-making support in reducing inappropriate prescribing in primary care. Tamblyn R; Huang A; Perreault R; Jacques A; Roy D; Hanley J; McLeod P; Laprise R CMAJ; 2003 Sep; 169(6):549-56. PubMed ID: 12975221 [TBL] [Abstract][Full Text] [Related]
19. Development of case-based medication alerting and recommender system: a new approach to prevention for medication error. Miyo K; Nittami YS; Kitagawa Y; Ohe K Stud Health Technol Inform; 2007; 129(Pt 2):871-4. PubMed ID: 17911840 [TBL] [Abstract][Full Text] [Related]
20. A clinical data warehouse-based process for refining medication orders alerts. Boussadi A; Caruba T; Zapletal E; Sabatier B; Durieux P; Degoulet P J Am Med Inform Assoc; 2012; 19(5):782-5. PubMed ID: 22523345 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]