Critical Care

official impact factor 4.60

Open Access Highly Access

Impact of computerized physician order entry on medication prescription errors in the intensive care unit: a controlled cross-sectional trial

Kirsten Colpaert*, Barbara Claus, Annemie Somers, Koenraad Vandewoude, Hugo Robays and Johan Decruyenaere

Critical Care 2006, 10:R21 doi:10.1186/cc3983

Accesses  

  • Last 30 days: 132 accesses
  • Last year: 1941 accesses
  • All time: 12875 accesses

Cited by

BioMed Central: 5 citations

Research article   Open Access Highly Accessed

Impact of computerized physician order entry (CPOE) system on the outcome of critically ill adult patients: a before-after study

Hasan M Al-Dorzi, Hani M Tamim, Antoine Cherfan, Mohamad A Hassan, Saadi Taher, Yaseen M Arabi BMC Medical Informatics and Decision Making 2011, 11:71 (19 November 2011)

Research article   Open Access

Chemotherapeutic errors in hospitalised cancer patients: attributable damage and extra costs

Florence Ranchon, Gilles Salles, Hans-Martin Späth, Vérane Schwiertz, Nicolas Vantard, Stéphanie Parat, Florence Broussais, Benoît You, Sophie Tartas, Pierre Souquet, Claude Dussart, Claire Falandry, Emilie Henin, Gilles Freyer, Catherine Rioufol BMC Cancer 2011, 11:478 (8 November 2011)

Poster presentation   Free

Design, implementation and evaluation of a new drug chart in an intensive care/high-dependency unit

P Ging, M McGuirk, B Marsh, C Meegan Critical Care 2008, 12(Suppl 2):P429 (13 March 2008)

Review   Free Highly Accessed

Year in review 2006: Critical Care – resource management

Marcus J Schultz, Michael Kuiper, Peter E Spronk, Margreeth B Vroom, Ognjen Gajic Critical Care 2007, 11:223 (24 August 2007)

Research   Open Access

A novel approach for prediction of tacrolimus blood concentration in liver transplantation patients in the intensive care unit through support vector regression

Stijn Van Looy, Thierry Verplancke, Dominique Benoit, Eric Hoste, Georges Van Maele, Filip De Turck, Johan Decruyenaere Critical Care 2007, 11:R83 (26 July 2007)

A support vector regression algorithm was found to predict tacrolimus blood concentration with higher accuracy when compared to a multiple linear regression model in liver transplant patients.