Literature DB >> 24973014

The implementation of an Intensive Care Information System allows shortening the ICU length of stay.

Eric Levesque1, Emir Hoti, Daniel Azoulay, Philippe Ichai, Didier Samuel, Faouzi Saliba.   

Abstract

Intensive care information systems (ICIS) implemented in intensive care unit (ICU) were shown to improve patient safety, reduce medical errors and increase the time devolved by medical/nursing staff to patients care. Data on the real impact of ICIS on patient outcome are scarce. This study aimed to evaluate the effects of ICIS on the outcome of critically-ill patients. From January 2004 to August 2006, 1,397 patients admitted to our ICU were enrolled in this observational study. This period was divided in two phases: before the implementation of ICIS (BEFORE) and after implementation of ICIS (AFTER). We compared standard ICU patient's outcomes: mortality, length of stay in ICU, hospital stay, and the re-admission rate depending upon BEFORE and AFTER. Although patients admitted AFTER were more severely ill than those of BEFORE (SAPS II: 32.1±17.5 vs. 30.5±18.5, p=0.014, respectively), their ICU length of stay was significantly shorter (8.4±15.2 vs. 6.8±12.9 days; p=0.048) while the re-admission rate and mortality rate were similar (4.4 vs. 4.2%; p=0.86, and 9.6 vs 11.2% p=0.35, respectively) in patients admitted AFTER. We observed that the implementation of ICIS allowed shortening of ICU length of stay without altering other patient outcomes.

Entities:  

Mesh:

Year:  2014        PMID: 24973014     DOI: 10.1007/s10877-014-9592-4

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  29 in total

1.  Changes in intensive care unit nurse task activity after installation of a third-generation intensive care unit information system.

Authors:  David H Wong; Yvonne Gallegos; Matthew B Weinger; Sara Clack; Jason Slagle; Cynthia T Anderson
Journal:  Crit Care Med       Date:  2003-10       Impact factor: 7.598

2.  Association of health information technology and teleintensivist coverage with decreased mortality and ventilator use in critically ill patients.

Authors:  Matthew McCambridge; Kari Jones; Hannah Paxton; Kathy Baker; Elliot J Sussman; Jeff Etchason
Journal:  Arch Intern Med       Date:  2010-04-12

Review 3.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

Review 4.  The impact of a Critical Care Information System (CCIS) on time spent charting and in direct patient care by staff in the ICU: a review of the literature.

Authors:  Rebecca L Mador; Nicola T Shaw
Journal:  Int J Med Inform       Date:  2009-03-03       Impact factor: 4.046

5.  Attitudes of Australian nurses toward the implementation of a clinical information system.

Authors:  C Marasovic; C Kenney; D Elliott; D Sindhusake
Journal:  Comput Nurs       Date:  1997 Mar-Apr

6.  Pulmonary complications after elective liver transplantation-incidence, risk factors, and outcome.

Authors:  Eric Levesque; Emir Hoti; Daniel Azoulay; Isabelle Honore; Bruno Guignard; Eric Vibert; Philippe Ichai; Fadi Antoun; Faouzi Saliba; Didier Samuel
Journal:  Transplantation       Date:  2012-09-15       Impact factor: 4.939

7.  Impact of a computerized information system on quality of nutritional support in the ICU.

Authors:  Mette M Berger; Jean-Pierre Revelly; Jean-Blaise Wasserfallen; Aline Schmid; Sylvie Bouvry; Marie-Christine Cayeux; Myriam Musset; Philippe Maravic; René L Chiolero
Journal:  Nutrition       Date:  2006-03       Impact factor: 4.008

Review 8.  Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials.

Authors:  Brent Mollon; Jaron Chong; Anne M Holbrook; Melani Sung; Lehana Thabane; Gary Foster
Journal:  BMC Med Inform Decis Mak       Date:  2009-02-11       Impact factor: 2.796

9.  Medication errors observed in 36 health care facilities.

Authors:  Kenneth N Barker; Elizabeth A Flynn; Ginette A Pepper; David W Bates; Robert L Mikeal
Journal:  Arch Intern Med       Date:  2002-09-09

10.  A comparison of handwritten and computer-assisted prescriptions in an intensive care unit.

Authors: 
Journal:  Crit Care       Date:  1998       Impact factor: 9.097

View more
  3 in total

1.  The Reduction in Medical Errors on Implementing an Intensive Care Information System in a Setting Where a Hospital Electronic Medical Record System is Already in Use: Retrospective Analysis.

Authors:  Yusuke Seino; Nobuo Sato; Masafumi Idei; Takeshi Nomura
Journal:  JMIR Perioper Med       Date:  2022-08-31

Review 2.  Health Information Technology in Healthcare Quality and Patient Safety: Literature Review.

Authors:  Sue S Feldman; Scott Buchalter; Leslie W Hayes
Journal:  JMIR Med Inform       Date:  2018-06-04

3.  Factors associated with postmenstrual age at full oral feeding in very preterm infants.

Authors:  Grégoire Brun; Céline J Fischer Fumeaux; Eric Giannoni; Myriam Bickle Graz
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.