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The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study
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Dec 20073813372
Jan 20086714291
Feb 20085816388
Mar 20084716485
Apr 20085619094
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Feb 2011785449
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Jul 2011415344
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Oct 2011925230
Nov 20111117249
Dec 2011785030
Jan 2012915236
Feb 2012885339
Mar 2012975946
Apr 20121057850
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Jun 20121177446
Jul 2012883634
Aug 2012764917
Sep 2012927236
Oct 20121306659
Nov 20121226852
Dec 2012822428
Jan 20131234521
Feb 20131345336
Mar 20131554647
Apr 20131475849
May 20131254749
Jun 2013863832
Jul 2013562217
Aug 2013693428
Sep 2013873326
Oct 20131196450
Nov 20131195345
Dec 2013804225
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Feb 2014903230
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Aug 2014732723
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Dec 20141254826
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Apr 20151235128
May 2015962523
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Jul 2015542417
Aug 2015832837
Sep 2015924129
Oct 2015813016
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Feb 20161273223
Mar 20161121937
Apr 20161505129
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Jun 2016962223
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Aug 20161365328
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Oct 20161009931
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Dec 20161088216
Jan 20171133127
Feb 2017702524
Mar 2017726138
Apr 2017908044
May 2017647244
Jun 2017545621
Jul 2017893217
Aug 20171484524
Sep 20171746425
Oct 20172215756
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Dec 20172066235
Jan 20181507040
Feb 20182158253
Mar 201839010789
Apr 20182327469
May 20181976097
Jun 20181655833
Jul 2018149125149
Aug 2018179161104
Sep 201813611491
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Nov 2018237217104
Dec 201818817283
Jan 2019176168104
Feb 201918217232
Mar 201917813740
Apr 201912511635
May 201911310569
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Aug 20191364545
Sep 20191306157
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Dec 20191163852
Jan 20201285851
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Apr 202023917969
May 20201458126
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Jul 20201115144
Aug 2020863750
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Apr 20211287333
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Aug 2021838339
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Jun 20221709847
Jul 20221225919
Aug 202215810622
Sep 20221328839
Oct 20221698639
Nov 20221266441
Dec 20221417032
Total21060143809450