188 related articles for article (PubMed ID: 11825183)
1. Patient safety in guideline-based decision support for hypertension management: ATHENA DSS.
Goldstein MK; Hoffman BB; Coleman RW; Tu SW; Shankar RD; O'Connor M; Martins S; Martins S; Advani A; Musen MA
Proc AMIA Symp; 2001; ():214-8. PubMed ID: 11825183
[TBL] [Abstract][Full Text] [Related]
2. Implementing clinical practice guidelines while taking account of changing evidence: ATHENA DSS, an easily modifiable decision-support system for managing hypertension in primary care.
Goldstein MK; Hoffman BB; Coleman RW; Musen MA; Tu SW; Advani A; Shankar R; O'Connor M
Proc AMIA Symp; 2000; ():300-4. PubMed ID: 11079893
[TBL] [Abstract][Full Text] [Related]
3. Building an explanation function for a hypertension decision-support system.
Shankar RD; Martins SB; Tu SW; Goldstein MK; Musen MA
Stud Health Technol Inform; 2001; 84(Pt 1):538-42. PubMed ID: 11604798
[TBL] [Abstract][Full Text] [Related]
4. Evaluating provider adherence in a trial of a guideline-based decision support system for hypertension.
Chan AS; Coleman RW; Martins SB; Advani A; Musen MA; Bosworth HB; Oddone EZ; Shlipak MG; Hoffman BB; Goldstein MK
Stud Health Technol Inform; 2004; 107(Pt 1):125-9. PubMed ID: 15360788
[TBL] [Abstract][Full Text] [Related]
5. The safety of computer-based medication systems.
Graber M
Arch Intern Med; 2004 Feb; 164(3):339-40; author reply 340. PubMed ID: 14769634
[No Abstract] [Full Text] [Related]
6. Clinical decision support and electronic prescribing systems: a time for responsible thought and action.
Miller RA; Gardner RM; Johnson KB; Hripcsak G
J Am Med Inform Assoc; 2005; 12(4):403-9. PubMed ID: 15905481
[No Abstract] [Full Text] [Related]
7. Overcoming limitations of data entry for the semi-automated detection of drug orphans in the EMR.
Jao CS; Hier DB
AMIA Annu Symp Proc; 2006; 2006():967. PubMed ID: 17238586
[TBL] [Abstract][Full Text] [Related]
8. Improving override rates for computerized prescribing alerts in ambulatory care.
Shah NR; Seger AC; Seger DL; Fiskio JM; Kuperman GJ; Blumenfeld B; Recklet EG; Bates DW; Gandhi TK
AMIA Annu Symp Proc; 2005; 2005():1110. PubMed ID: 16779397
[TBL] [Abstract][Full Text] [Related]
9. Integrating a modern knowledge-based system architecture with a legacy VA database: the ATHENA and EON projects at Stanford.
Advani A; Tu S; O'Connor M; Coleman R; Goldstein MK; Musen M
Proc AMIA Symp; 1999; ():653-7. PubMed ID: 10566440
[TBL] [Abstract][Full Text] [Related]
10. A multiple-scenario assessment of the effect of a continuous-care, guideline-based decision support system on clinicians' compliance to clinical guidelines.
Shalom E; Shahar Y; Parmet Y; Lunenfeld E
Int J Med Inform; 2015 Apr; 84(4):248-62. PubMed ID: 25649843
[TBL] [Abstract][Full Text] [Related]
11. Computerized physician order entry of medications and clinical decision support can improve problem list documentation compliance.
Galanter WL; Hier DB; Jao C; Sarne D
Int J Med Inform; 2010 May; 79(5):332-8. PubMed ID: 18599342
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. [Frequency, relevance, causes of and strategies for prevention of medication errors].
Grandt D; Braun C; Häuser W
Z Gerontol Geriatr; 2005 Jun; 38(3):196-202. PubMed ID: 15965794
[TBL] [Abstract][Full Text] [Related]
14. Reminder-based or on-demand decision support systems: a preliminary study in primary care with the management of hypertension.
Séroussi B; Bouaud J
Stud Health Technol Inform; 2004; 101():142-6. PubMed ID: 15537217
[TBL] [Abstract][Full Text] [Related]
15. [Clinical decision support: Is the number of medication errors reduced?].
Rabøl LI; Anhøj J; Pedersen A; Pedersen BL; Hellebek AH
Ugeskr Laeger; 2006 Nov; 168(48):4179-84. PubMed ID: 17147940
[TBL] [Abstract][Full Text] [Related]
16. Impact of a clinical decision support system for high-alert medications on the prevention of prescription errors.
Lee J; Han H; Ock M; Lee SI; Lee S; Jo MW
Int J Med Inform; 2014 Dec; 83(12):929-40. PubMed ID: 25256067
[TBL] [Abstract][Full Text] [Related]
17. Use of a clinical event monitor to prevent and detect medication errors.
Payne TH; Savarino J; Marshall R; Hoey CT
Proc AMIA Symp; 2000; ():640-4. PubMed ID: 11079962
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care.
Tu SW; Hrabak KM; Campbell JR; Glasgow J; Nyman MA; McClure R; McClay J; Abarbanel R; Mansfield JG; Martins SM; Goldstein MK; Musen MA
AMIA Annu Symp Proc; 2006; 2006():784-8. PubMed ID: 17238448
[TBL] [Abstract][Full Text] [Related]
20. The epidemiology of prescribing errors: the potential impact of computerized prescriber order entry.
Bobb A; Gleason K; Husch M; Feinglass J; Yarnold PR; Noskin GA
Arch Intern Med; 2004 Apr; 164(7):785-92. PubMed ID: 15078649
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
