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Items: 1 to 20 of 92

1.

A generic system for critiquing physicians' prescriptions: usability, satisfaction and lessons learnt.

Lamy JB, Ebrahiminia V, Seroussi B, Bouaud J, Simon C, Favre M, Falcoff H, Venot A.

Stud Health Technol Inform. 2011;169:125-9.

2.

Do decision support systems influence variation in prescription?

de Jong JD, Groenewegen PP, Spreeuwenberg P, Westert GP, de Bakker DH.

BMC Health Serv Res. 2009 Jan 30;9:20. doi: 10.1186/1472-6963-9-20.

3.
4.

How to translate therapeutic recommendations in clinical practice guidelines into rules for critiquing physician prescriptions? Methods and application to five guidelines.

Lamy JB, Ebrahiminia V, Riou C, Seroussi B, Bouaud J, Simon C, Dubois S, Butti A, Simon G, Favre M, Falcoff H, Venot A.

BMC Med Inform Decis Mak. 2010 May 28;10:31. doi: 10.1186/1472-6947-10-31.

5.

ASTI: a guideline-based drug-ordering system for primary care.

Séroussi B, Bouaud J, Dréau H, Falcoff H, Riou C, Joubert M, Simon C, Simon G, Venot A.

Stud Health Technol Inform. 2001;84(Pt 1):528-32.

PMID:
11604796
6.

Design of a decision support system for chronic diseases coupling generic therapeutic algorithms with guideline-based specific rules.

Ebrahiminia V, Riou C, Seroussi B, Bouaud J, Dubois S, Falcoff H, Venot A.

Stud Health Technol Inform. 2006;124:483-8.

PMID:
17108565
7.

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 16;169(6):549-56.

8.

Comparative impact of guidelines, clinical data, and decision support on prescribing decisions: an interactive web experiment with simulated cases.

Sintchenko V, Coiera E, Iredell JR, Gilbert GL.

J Am Med Inform Assoc. 2004 Jan-Feb;11(1):71-7. Epub 2003 Oct 5.

9.

Reasons for physician non-adherence to electronic drug alerts.

Taylor LK, Tamblyn R.

Stud Health Technol Inform. 2004;107(Pt 2):1101-5.

PMID:
15360983
11.

Determinants of physician use of an ambulatory prescription expert system.

Schectman JM, Schorling JB, Nadkarni MM, Voss JD.

Int J Med Inform. 2005 Sep;74(9):711-7.

PMID:
15985385
12.

Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system.

Lamy JB, Ellini A, Ebrahiminia V, Zucker JD, Falcoff H, Venot A.

Stud Health Technol Inform. 2008;136:223-8.

13.
14.

Physician practices, e-prescribing and accessing information to improve prescribing decisions.

Grossman JM, Boukus ER, Cross DA, Cohen GR.

Res Brief. 2011 May;(20):1-10.

PMID:
21545050
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17.

'Too much, too late': mixed methods multi-channel video recording study of computerized decision support systems and GP prescribing.

Hayward J, Thomson F, Milne H, Buckingham S, Sheikh A, Fernando B, Cresswell K, Williams R, Pinnock H.

J Am Med Inform Assoc. 2013 Jun;20(e1):e76-84. doi: 10.1136/amiajnl-2012-001484. Epub 2013 Mar 7.

18.
19.

Why GPs do not follow computerized guidelines: an attempt of explanation involving usability with ASTI guiding mode.

Séroussi B, Bouaud J, Sauquet D, Giral P, Cornet P, Falcoff H, Julien J.

Stud Health Technol Inform. 2010;160(Pt 2):1236-40.

PMID:
20841881
20.

Computerized clinical decision support for prescribing: provision does not guarantee uptake.

Moxey A, Robertson J, Newby D, Hains I, Williamson M, Pearson SA.

J Am Med Inform Assoc. 2010 Jan-Feb;17(1):25-33. doi: 10.1197/jamia.M3170. Review.

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