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The PRONE score: an algorithm for predicting doctors’ risks of formal patient complaints using routinely collected administrative data

 

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Apr 2015934712413
May 20151765512296
Jun 20151028422202
Jul 2015334197105
Aug 201511918329
Sep 201521022136
Oct 20151474721
Nov 20151948226
Dec 20151359015
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Feb 201610210038
Mar 2016445629
Apr 2016846131
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Jun 2016518119
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Aug 201612413736
Sep 2016758315
Oct 20167613537
Nov 20168312239
Dec 2016494811
Jan 2017746015
Feb 2017154126
Mar 201786419
Apr 2017711132
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Jul 2017837715
Aug 2017896324
Sep 20171419115
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Jan 201813210336
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Mar 201832127622
Apr 201842140333
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Jul 201817313575
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Sep 201819516944
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Feb 201927225554
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Jul 201924117656
Aug 201920618227
Sep 20191169746
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Jan 20201119212
Feb 202017814026
Mar 202013211436
Apr 2020928235
May 2020695021
Jun 202066574
Jul 202010910124
Aug 2020988626
Sep 2020967419
Oct 2020998816
Nov 2020906722
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Jan 2021947417
Feb 202116714141
Mar 20211017936
Apr 2021835122
May 2021564915
Jun 202110910911
Jul 202110810813
Aug 2021838218
Sep 202198989
Oct 202196867
Nov 2021705614
Dec 2021837216
Jan 2022887211
Feb 2022977814
Mar 202212210819
Apr 202215614613
May 20222322243
Jun 202213011912
Jul 2022103976
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Sep 20221371208
Oct 202217413618
Nov 202220814530
Dec 202250476
Jan 202377765
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Apr 2023714420
May 2023636327
Jun 202380686
Jul 2023918818
Aug 2023898022
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Oct 202321914956
Nov 202385728
Dec 2023958918
Jan 2024505024
Feb 202463619
Mar 2024817957
Apr 202412611923
May 2024948831
Jun 202414413415
Jul 20242071908
Aug 202412110613
Total18519148933618