Literature DB >> 8563367

A decision support tool for antibiotic therapy.

R S Evans1, D C Classen, S L Pestotnik, T P Clemmer, L K Weaver, J P Burke.   

Abstract

We developed a decision support tool to assist physicians anticipating the need for antibiotic therapy. The initial screen alerts physicians of pertinent patient information, provides direct access to other essential medical information, and stimulates clinical judgment by suggesting an antibiotic regimen. The decision support tool also suggests the dose and interval for any ordered antibiotics selected by the physicians. During a 7-month pilot study, all antibiotics for patients admitted to the Shock/Trauma/Respiratory Intensive Care Unit (STRICU) were ordered using the decision support tool. Clinical data from the study period and a 12-month control period (the previous year) were collected and compared. The decision support tool was used to order antibiotics 588 times during the study period and the suggested antibiotics were used 218 (37%) times. The computer suggested dosages were used over 90% of the time. The mean cost of antibiotics was $87.00 (p < 0.04) less per patient during the study period as compared to the control period. Prospective assessment revealed only 3 antibiotic adverse drug events (ADEs) (0.9%) among 336 study patients as compared to 15 ADEs (2.4%) among 626 control patients (p = 0.164).

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Year:  1995        PMID: 8563367      PMCID: PMC2579174     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  14 in total

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  8 in total

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Authors:  Daria O'Reilly; Jean-Eric Tarride; Ron Goeree; Cynthia Lokker; K Ann McKibbon
Journal:  J Am Med Inform Assoc       Date:  2011-10-07       Impact factor: 4.497

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3.  Novel displays of patient information in critical care settings: a systematic review.

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4.  Design and evaluation of a bacterial clinical infectious diseases ontology.

Authors:  Claire L Gordon; Stephanie Pouch; Lindsay G Cowell; Mary Regina Boland; Heather L Platt; Albert Goldfain; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

5.  Personalized antibiograms for machine learning driven antibiotic selection.

Authors:  Conor K Corbin; Lillian Sung; Arhana Chattopadhyay; Morteza Noshad; Amy Chang; Stanley Deresinksi; Michael Baiocchi; Jonathan H Chen
Journal:  Commun Med (Lond)       Date:  2022-04-08

6.  Noninvasive ventilation for patients near the end of life: what do we know and what do we need to know?

Authors:  William J Ehlenbach; J Randall Curtis
Journal:  Crit Care Med       Date:  2008-03       Impact factor: 7.598

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Review 8.  The effectiveness of computerised decision support on antibiotic use in hospitals: A systematic review.

Authors:  Christopher E Curtis; Fares Al Bahar; John F Marriott
Journal:  PLoS One       Date:  2017-08-24       Impact factor: 3.240

  8 in total

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