<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Cordier Q</submitter><funding>European Research Council</funding><pagination>330-338</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12013565</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>34(5)</volume><pubmed_abstract>To improve patient safety, surgeons can continually monitor the surgical outcomes of their patients. To this end, they can use statistical process control tools, which primarily originated in the manufacturing industry and are now widely used in healthcare. These tools belong to a broad family, making it challenging to identify the most suitable methodology to monitor surgical outcomes. The selected tools must balance statistical rigour with surgeon usability, enabling both statistical interpretation of trends over time and comprehensibility for the surgeons, their primary users. On one hand, the observed minus expected (O-E) chart is a simple and intuitive tool that allows surgeons without statistical expertise to view and interpret their activity; however, it may not possess the sophisti</pubmed_abstract><journal>BMJ quality &amp; safety</journal><pubmed_title>Risk-adjusted observed minus expected cumulative sum (RA O-E CUSUM) chart for visualisation and monitoring of surgical outcomes.</pubmed_title><pmcid>PMC12013565</pmcid><funding_grant_id>Grant agreement No. 801660 - TopSurgeons - ERC-201</funding_grant_id><pubmed_authors>Maury JM</pubmed_authors><pubmed_authors>Gorioux R</pubmed_authors><pubmed_authors>Demian H</pubmed_authors><pubmed_authors>Obadia JF</pubmed_authors><pubmed_authors>Mohkam K</pubmed_authors><pubmed_authors>Philip CA</pubmed_authors><pubmed_authors>Awtry J</pubmed_authors><pubmed_authors>Cormont E</pubmed_authors><pubmed_authors>Badet L</pubmed_authors><pubmed_authors>Prieur H</pubmed_authors><pubmed_authors>Hoen N</pubmed_authors><pubmed_authors>Crouzet S</pubmed_authors><pubmed_authors>Dutheil X</pubmed_authors><pubmed_authors>Lesurtel M</pubmed_authors><pubmed_authors>Pozzi M</pubmed_authors><pubmed_authors>Dagnino F</pubmed_authors><pubmed_authors>Passot G</pubmed_authors><pubmed_authors>Vaudoyer D</pubmed_authors><pubmed_authors>Pasquer A</pubmed_authors><pubmed_authors>Francois Y</pubmed_authors><pubmed_authors>Poncet G</pubmed_authors><pubmed_authors>Cordier Q</pubmed_authors><pubmed_authors>Sebaoui S</pubmed_authors><pubmed_authors>Crepet LB</pubmed_authors><pubmed_authors>Louboutin L</pubmed_authors><pubmed_authors>Lifante JC</pubmed_authors><pubmed_authors>Morel-Journel N</pubmed_authors><pubmed_authors>Gunst S</pubmed_authors><pubmed_authors>Nohuz E</pubmed_authors><pubmed_authors>Maillard L</pubmed_authors><pubmed_authors>Gertych W</pubmed_authors><pubmed_authors>Vola M</pubmed_authors><pubmed_authors>Top Surgeons Study Group</pubmed_authors><pubmed_authors>Soelling S</pubmed_authors><pubmed_authors>Cortet M</pubmed_authors><pubmed_authors>Chollet F</pubmed_authors><pubmed_authors>Nunes A</pubmed_authors><pubmed_authors>Robert M</pubmed_authors><pubmed_authors>Ruffion A</pubmed_authors><pubmed_authors>Skinner S</pubmed_authors><pubmed_authors>Pascal L</pubmed_authors><pubmed_authors>Duclos A</pubmed_authors><pubmed_authors>Dey T</pubmed_authors><pubmed_authors>Carrerre M</pubmed_authors><pubmed_authors>Lamblin G</pubmed_authors><pubmed_authors>Cannarella O</pubmed_authors><pubmed_authors>Charlot K</pubmed_authors><pubmed_authors>Warembourg S</pubmed_authors><pubmed_authors>Rongieras F</pubmed_authors><pubmed_authors>Tronc F</pubmed_authors><pubmed_authors>Cloud V</pubmed_authors><pubmed_authors>Farhat F</pubmed_authors><pubmed_authors>Mabrut JY</pubmed_authors><pubmed_authors>Pibarot V</pubmed_authors><pubmed_authors>Polazzi S</pubmed_authors><pubmed_authors>Schlatter S</pubmed_authors><pubmed_authors>Mazza S</pubmed_authors><pubmed_authors>Pelascini E</pubmed_authors><pubmed_authors>Trinh QD</pubmed_authors><pubmed_authors>Villeneuve L</pubmed_authors><pubmed_authors>Viste A</pubmed_authors><pubmed_authors>Servien E</pubmed_authors><pubmed_authors>Chene G</pubmed_authors><pubmed_authors>Hermine M</pubmed_authors><pubmed_authors>Stelzl D</pubmed_authors><pubmed_authors>Kepenekian V</pubmed_authors><pubmed_authors>Bates DW</pubmed_authors><pubmed_authors>Goutard CA</pubmed_authors><pubmed_authors>Chaudier P</pubmed_authors><pubmed_authors>Carnicelli D</pubmed_authors><pubmed_authors>Cruz KI</pubmed_authors><pubmed_authors>Lustig S</pubmed_authors><pubmed_authors>Golfier F</pubmed_authors><pubmed_authors>Cotte E</pubmed_authors><pubmed_authors>Fassier JB</pubmed_authors></additional><is_claimable>false</is_claimable><name>Risk-adjusted observed minus expected cumulative sum (RA O-E CUSUM) chart for visualisation and monitoring of surgical outcomes.</name><description>To improve patient safety, surgeons can continually monitor the surgical outcomes of their patients. To this end, they can use statistical process control tools, which primarily originated in the manufacturing industry and are now widely used in healthcare. These tools belong to a broad family, making it challenging to identify the most suitable methodology to monitor surgical outcomes. The selected tools must balance statistical rigour with surgeon usability, enabling both statistical interpretation of trends over time and comprehensibility for the surgeons, their primary users. On one hand, the observed minus expected (O-E) chart is a simple and intuitive tool that allows surgeons without statistical expertise to view and interpret their activity; however, it may not possess the sophisti</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2025-07-01T03:05:32.087Z</modification><creation>2025-07-01T03:05:32.087Z</creation></dates><accession>S-EPMC12013565</accession><cross_references><pubmed>39586610</pubmed><doi>10.1136/bmjqs-2024-017935</doi></cross_references></HashMap>