Literature DB >> 26323653

Key Performance Indicators in Radiology: You Can't Manage What You Can't Measure.

H Benjamin Harvey1, Elmira Hassanzadeh2, Shima Aran2, Daniel I Rosenthal2, James H Thrall2, Hani H Abujudeh2.   

Abstract

Quality assurance (QA) is a fundamental component of every successful radiology operation. A radiology QA program must be able to efficiently and effectively monitor and respond to quality problems. However, as radiology QA has expanded into the depths of radiology operations, the task of defining and measuring quality has become more difficult. Key performance indicators (KPIs) are highly valuable data points and measurement tools that can be used to monitor and evaluate the quality of services provided by a radiology operation. As such, KPIs empower a radiology QA program to bridge normative understandings of health care quality with on-the-ground quality management. This review introduces the importance of KPIs in health care QA, a framework for structuring KPIs, a method to identify and tailor KPIs, and strategies to analyze and communicate KPI data that would drive process improvement. Adopting a KPI-driven QA program is both good for patient care and allows a radiology operation to demonstrate measurable value to other health care stakeholders.
Copyright © 2015 Mosby, Inc. All rights reserved.

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Year:  2015        PMID: 26323653     DOI: 10.1067/j.cpradiol.2015.07.014

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  5 in total

1.  A Comprehensive Approach Towards Quality and Safety in Diagnostic Imaging Services: Our Experience at a Rural Tertiary Health Care Center.

Authors:  Viral Patel; Geetika Sindhwani; Monica Gupta; Sweta Arora; Arpita Mishra; Jayesh Bhatt; Manali Arora; Anisha Gehani
Journal:  J Clin Diagn Res       Date:  2017-08-01

2.  Key Performance Indicators to Measure Improvement After Implementation of Total Laboratory Automation Abbott Accelerator a3600.

Authors:  Marijana Miler; Nora Nikolac Gabaj; Lora Dukic; Ana-Maria Simundic
Journal:  J Med Syst       Date:  2017-12-27       Impact factor: 4.460

3.  Identification of quality improvement areas in pediatric MRI from analysis of patient safety reports.

Authors:  Camilo Jaimes; Diana J Murcia; Karen Miguel; Cathryn DeFuria; Pallavi Sagar; Michael S Gee
Journal:  Pediatr Radiol       Date:  2017-10-19

4.  Promises of artificial intelligence in neuroradiology: a systematic technographic review.

Authors:  Allard W Olthof; Peter M A van Ooijen; Mohammad H Rezazade Mehrizi
Journal:  Neuroradiology       Date:  2020-04-22       Impact factor: 2.804

5.  An introduction to key performance indicators for medical physicists.

Authors:  Dominic J DiCostanzo; Lalith K Kumaraswamy; Jillian Shuman; Daniel C Pavord; Yanle Hu; David W Jordan; Christopher Waite-Jones; Annie Hsu
Journal:  J Appl Clin Med Phys       Date:  2022-07-13       Impact factor: 2.243

  5 in total

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