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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
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Apr 20085619094
May 20084312064
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Aug 20083711760
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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
Jan 20141142434
Feb 2014903230
Mar 20141423938
Apr 20141622733
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Aug 2014732723
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Jul 2015542417
Aug 2015832837
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Mar 20161121937
Apr 20161505129
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Aug 20161365328
Sep 20161253622
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Nov 201612711238
Dec 20161088216
Jan 20171133127
Feb 2017702524
Mar 2017726138
Apr 2017908044
May 2017647244
Jun 2017545621
Jul 2017893217
Aug 20171484524
Sep 20171746425
Oct 20172215756
Nov 201726610446
Dec 20172066235
Jan 20181507040
Feb 20182158253
Mar 201839010789
Apr 20182327469
May 20181976097
Jun 20181655833
Jul 2018149125149
Aug 2018179161104
Sep 201813611491
Oct 201821419494
Nov 2018237217104
Dec 201818817283
Jan 2019176168104
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Mar 201917813740
Apr 201912511635
May 201911310569
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Jul 20191287467
Aug 20191364545
Sep 20191306157
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Dec 20191163852
Jan 20201285851
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Apr 202023917969
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Oct 20201646559
Nov 20201567546
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Jan 20211607751
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Mar 20211818544
Apr 20211287333
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Jul 2021565623
Aug 2021838339
Sep 2021888726
Oct 202121710766
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Feb 20221769475
Mar 20221718159
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Oct 20221698639
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Dec 20221417032
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Dec 202329016044
Jan 2024969737
Feb 2024987236
Mar 20241486983
Apr 202418711055
May 20241629756
Jun 202417010853
Jul 202415810621
Aug 20241286932
Sep 20241308845
Total241861624910339