A Pilot Study of a Computerized Decision Support System to Detect Invasive Fungal Infection in Pediatric Hematology/Oncology Patients.

作者信息

Bartlett Adam, Goeman Emma, Vedi Aditi, Mostaghim Mona, Trahair Toby, O'Brien Tracey A, Palasanthiran Pamela, McMullan Brendan

机构信息

1Department of Immunology and Infectious Diseases,Sydney Children's Hospital,Randwick,NSW,Australia.

2School of Women's and Children's Health,University of New South Wales,Sydney,NSW,Australia.

出版信息

Infect Control Hosp Epidemiol. 2015 Nov;36(11):1313-7. doi: 10.1017/ice.2015.179. Epub 2015 Aug 17.

DOI:10.1017/ice.2015.179

PMID:26278101

Abstract

OBJECTIVE

Computerized decision support systems (CDSSs) can provide indication-specific antimicrobial recommendations and approvals as part of hospital antimicrobial stewardship (AMS) programs. The aim of this study was to assess the performance of a CDSS for surveillance of invasive fungal infections (IFIs) in an inpatient hematology/oncology cohort.

METHODS

Between November 1, 2012, and October 31, 2013, pediatric hematology/oncology inpatients diagnosed with an IFI were identified through an audit of the CDSS and confirmed by medical record review. The results were compared to hospital diagnostic-related group (DRG) coding for IFI throughout the same period.

RESULTS

A total of 83 patients were prescribed systemic antifungals according to the CDSS for the 12-month period. The CDSS correctly identified 19 patients with IFI on medical record review, compared with 10 patients identified by DRG coding, of whom 9 were confirmed to have IFI on medical record review.

CONCLUSIONS

CDSS was superior to diagnostic coding in detecting IFI in an inpatient pediatric hematology/oncology cohort. The functionality of CDSS lends itself to inpatient infectious diseases surveillance but depends on prescriber adherence.

摘要