Literature DB >> 23545086

Utilization of dashboard technology in academic radiology departments: results of a national survey.

Bahar Mansoori1, Ronald D Novak, Carlos J Sivit, Pablo R Ros.   

Abstract

PURPOSE: The aim of this study was to identify the most widely used financial, productivity, and accessibility metrics used by academic radiology departments (ARDs) in a dashboard format via a national survey. The results provide a guide to the selection of preferred or commonly used indicators to facilitate dashboard implementation and use.
METHODS: The study met the criteria for an exemption from institutional review board approval. A cross-sectional survey was conducted using a survey approved by the Society of Chairs of Academic Radiology Departments and sent to its members. The survey was designed to evaluate the adoption, access, and composition of dashboard technology in ARDs, particularly those related to measures of productivity and financial performance.
RESULTS: The overall response rate was 42% (56 of 131 members). Sixty-two percent of responding ARDs currently use some form of dashboard technology, but 50% have used this technology for ≤2 years. Sixty-five percent of all ARDs use their dashboard information on a monthly basis. The two dashboard financial indicators most frequently used by ARDs are revenue and actual expenses. Similarly, the two productivity indicators used most widely are total examination volume and examination volume per modality. The two most important access indicators used are report turnaround time and backlog per unit time.
CONCLUSIONS: Currently, fewer than two-thirds of the responding ARDs use dashboard technology, and one-half have used the technology for ≤2 years. Although some fiscal and productivity indices are more frequently used, there are a diverse number of factors used to measure productivity, finance, access, and other operational parameters in ARD dashboards. Thus, the information provided by each institutional dashboard may be significantly different from that in other ARDs.
Copyright © 2013 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2013        PMID: 23545086     DOI: 10.1016/j.jacr.2012.09.030

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  6 in total

1.  Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics.

Authors:  Santiago Romero-Brufau; Petro Kostandy; Kayse Lee Maass; Phichet Wutthisirisart; Mustafa Sir; Brian Bartholmai; Mickael Stuve; Kalyan Pasupathy
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  PathBot: A Radiology-Pathology Correlation Dashboard.

Authors:  Linda C Kelahan; Amit D Kalaria; Ross W Filice
Journal:  J Digit Imaging       Date:  2017-12       Impact factor: 4.056

3.  Developing an Interactive Data Visualization Tool to Assess the Impact of Decision Support on Clinical Operations.

Authors:  Timothy C Huber; Arun Krishnaraj; Dayna Monaghan; Cree M Gaskin
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

4.  A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance.

Authors:  Stephen Jones; Seán Cournane; Niall Sheehy; Lucy Hederman
Journal:  J Digit Imaging       Date:  2016-12       Impact factor: 4.056

Review 5.  Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 1: From Methodology to Clinical Implementation.

Authors:  Faiq Shaikh; Benjamin Franc; Erastus Allen; Evis Sala; Omer Awan; Kenneth Hendrata; Safwan Halabi; Sohaib Mohiuddin; Sana Malik; Dexter Hadley; Rasu Shrestha
Journal:  J Am Coll Radiol       Date:  2018-02-01       Impact factor: 5.532

Review 6.  A design protocol to develop radiology dashboards.

Authors:  Mahtab Karami
Journal:  Acta Inform Med       Date:  2014-10-29
  6 in total

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