Literature DB >> 26667658

Utilization of Workflow Process Maps to Analyze Gaps in Critical Event Notification at a Large, Urban Hospital.

Meredith Bowen1, Adam Prater2, Nabile M Safdar2, Seena Dehkharghani2,3, Jack A Fountain2.   

Abstract

Stroke care is a time-sensitive workflow involving multiple specialties acting in unison, often relying on one-way paging systems to alert care providers. The goal of this study was to map and quantitatively evaluate such a system and address communication gaps with system improvements. A workflow process map of the stroke notification system at a large, urban hospital was created via observation and interviews with hospital staff. We recorded pager communication regarding 45 patients in the emergency department (ED), neuroradiology reading room (NRR), and a clinician residence (CR), categorizing transmissions as successful or unsuccessful (dropped or unintelligible). Data analysis and consultation with information technology staff and the vendor informed a quality intervention-replacing one paging antenna and adding another. Data from a 1-month post-intervention period was collected. Error rates before and after were compared using a chi-squared test. Seventy-five pages regarding 45 patients were recorded pre-intervention; 88 pages regarding 86 patients were recorded post-intervention. Initial transmission error rates in the ED, NRR, and CR were 40.0, 22.7, and 12.0 %. Post-intervention, error rates were 5.1, 18.8, and 1.1 %, a statistically significant improvement in the ED (p < 0.0001) and CR (p = 0.004) but not NRR (p = 0.208). This intervention resulted in measureable improvement in pager communication to the ED and CR. While results in the NRR were not significant, this intervention bolsters the utility of workflow process maps. The workflow process map effectively defined communication failure parameters, allowing for systematic testing and intervention to improve communication in essential clinical locations.

Entities:  

Keywords:  Communication; Reading room; Reporting; Workflow

Mesh:

Year:  2016        PMID: 26667658      PMCID: PMC4942383          DOI: 10.1007/s10278-015-9838-9

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  26 in total

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5.  Time is brain--quantified.

Authors:  Jeffrey L Saver
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8.  Relationships between infarct growth, clinical outcome, and early recanalization in diffusion and perfusion imaging for understanding stroke evolution (DEFUSE).

Authors:  Jean-Marc Olivot; Michael Mlynash; Vincent N Thijs; Stephanie Kemp; Maarten G Lansberg; Lawrence Wechsler; Gottfried Schlaug; Roland Bammer; Michael P Marks; Gregory W Albers
Journal:  Stroke       Date:  2008-06-19       Impact factor: 7.914

9.  Factors influencing door-to-imaging time: analysis of the safe implementation of treatments in Stroke-EAST registry.

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Journal:  J Stroke Cerebrovasc Dis       Date:  2014-08-06       Impact factor: 2.136

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Journal:  Insights Imaging       Date:  2011-03-22
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  2 in total

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Authors:  Alexander Komashie; James Ward; Tom Bashford; Terry Dickerson; Gulsum Kubra Kaya; Yuanyuan Liu; Isla Kuhn; Aslι Günay; Katharina Kohler; Nicholas Boddy; Eugenia O'Kelly; Joseph Masters; John Dean; Catherine Meads; P John Clarkson
Journal:  BMJ Open       Date:  2021-01-19       Impact factor: 2.692

  2 in total

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