Literature DB >> 19139461

The Surgical Intensive Care-infection Registry: a research registry with daily clinical support capabilities.

Adam M A Fadlalla1, Joseph F Golob, Jeffrey A Claridge.   

Abstract

Infections in the surgical and trauma intensive care unit (STICU) are responsible for significant patient morbidity and mortality. Research into these infectious complications often uses administrative databases or clinical information systems designed for documenting and billing daily patient care. Neither of these sources is intended for research, and many investigators have questioned their accuracy. The Surgical Intensive Care-Infection Registry (SIC-IR) was developed as a research data repository to use to monitor STICU infections. SIC-IR is a relational database application designed to collect quality data and to integrate with daily patient care. SIC-IR prospectively collects and archives more than 100 clinical variables daily on each STICU patient to ensure completeness and correctness of the registry. Furthermore, SIC-IR aids in clinical activities by providing patient summaries and medical record documentation. SIC-IR provides accurate data for STICU infection research and enables the users to easily undertake quality-of-care improvement initiatives.

Entities:  

Mesh:

Year:  2009        PMID: 19139461     DOI: 10.1177/1062860608326633

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  5 in total

1.  Comparison of manual versus automated data collection method for an evidence-based nursing practice study.

Authors:  M D Byrne; T R Jordan; T Welle
Journal:  Appl Clin Inform       Date:  2013-02-13       Impact factor: 2.342

2.  Critical analysis of empiric antibiotic utilization: establishing benchmarks.

Authors:  Jeffrey A Claridge; Priscilla Pang; William H Leukhardt; Joseph F Golob; Jeffrey W Carter; Adam M Fadlalla
Journal:  Surg Infect (Larchmt)       Date:  2010-04       Impact factor: 2.150

3.  Enhancing the fever workup utilizing a multi-technique modeling approach to diagnose infections more accurately.

Authors:  Adam M A Fadlalla; Joseph F Golob; Jeffrey A Claridge
Journal:  Surg Infect (Larchmt)       Date:  2010-07-28       Impact factor: 2.150

4.  Who is monitoring your infections: shouldn't you be?

Authors:  Jeffrey A Claridge; Joseph F Golob; Adam M A Fadlalla; Beth M D'Amico; Joel R Peerless; Charles J Yowler; Mark A Malangoni
Journal:  Surg Infect (Larchmt)       Date:  2009-02       Impact factor: 2.150

5.  Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation.

Authors:  Renae Kirkham; Cherie Whitbread; Christine Connors; Elizabeth Moore; Jacqueline A Boyle; Richa Richa; Federica Barzi; Shu Li; Michelle Dowden; Jeremy Oats; Chrissie Inglis; Margaret Cotter; Harold D McIntyre; Marie Kirkwood; Paula Van Dokkum; Stacey Svenson; Paul Zimmet; Jonathan E Shaw; Kerin O'Dea; Alex Brown; Louise Maple-Brown
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

  5 in total

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