Literature DB >> 23015659

Managing demand for laboratory tests: a laboratory toolkit.

Anthony A Fryer1, W Stuart A Smellie.   

Abstract

Healthcare budgets worldwide are facing increasing pressure to reduce costs and improve efficiency, while maintaining quality. Laboratory testing has not escaped this pressure, particularly since pathology investigations cost the National Health Service £2.5 billion per year. Indeed, the Carter Review, a UK Department of Health-commissioned review of pathology services in England, estimated that 20% of this could be saved by improving pathology services, despite an average annual increase of 8%-10% in workload. One area of increasing importance is managing the demands for pathology tests and reducing inappropriate requesting. The Carter Review estimated that 25% of pathology tests were unnecessary, representing a huge potential waste. Certainly, the large variability in levels of requesting between general practitioners suggests that inappropriate requesting is widespread. Unlocking the key to this variation and implementing measures to reduce inappropriate requesting would have major implications for patients and healthcare resources alike. This article reviews the approaches to demand management. Specifically, it aims to (a) define demand management and inappropriate requesting, (b) assess the drivers for demand management, (c) examine the various approaches used, illustrating the potential of electronic requesting and (d) provide a wider context. It will cover issues, such as educational approaches, information technology opportunities and challenges, vetting, duplicate request identification and management, the role of key performance indicators, profile composition and assessment of downstream impact of inappropriate requesting. Currently, many laboratories are exploring demand management using a plethora of disparate approaches. Hence, this review seeks to provide a 'toolkit' with the view to allowing laboratories to develop a standardised demand management strategy.

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Year:  2012        PMID: 23015659     DOI: 10.1136/jclinpath-2011-200524

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  36 in total

1.  A Randomised Assessment of Trainee Doctors' Understanding and Interpretation of Diagnostic Test Results.

Authors:  V L Parker; J E Ritchie; T M Drake; J Hookham; S P Balasubramanian
Journal:  World J Surg       Date:  2016-01       Impact factor: 3.352

2.  Lean six sigma methodologies improve clinical laboratory efficiency and reduce turnaround times.

Authors:  Tamer C Inal; Ozlem Goruroglu Ozturk; Filiz Kibar; Salih Cetiner; Selcuk Matyar; Gulcin Daglioglu; Akgun Yaman
Journal:  J Clin Lab Anal       Date:  2017-02-15       Impact factor: 2.352

3.  Errors in the Extra-Analytical Phases of Clinical Chemistry Laboratory Testing.

Authors:  Annalise E Zemlin
Journal:  Indian J Clin Biochem       Date:  2017-05-05

4.  Educational intervention to optimise serum immunoglobulin test use in Irish primary care: an interrupted time series with segmented regression analysis.

Authors:  Sharon L Cadogan; John P Browne; Colin P Bradley; Anthony P Fitzgerald; Mary R Cahill
Journal:  Br J Gen Pract       Date:  2020-01-30       Impact factor: 5.386

Review 5.  From evidence to best practice in laboratory medicine.

Authors:  A Rita Horvath
Journal:  Clin Biochem Rev       Date:  2013-08

6.  An evaluation of the effectiveness of an algorithm intervention in reducing inappropriate faecal samples sent for Clostridium difficile testing.

Authors:  Irene Thompson; Colin Lavelle; Laurence Leonard
Journal:  J Infect Prev       Date:  2016-07-06

7.  Analysis of Daily Laboratory Orders at a Large Urban Academic Center: A Multifaceted Approach to Changing Test Ordering Patterns.

Authors:  Joseph W Rudolf; Anand S Dighe; Christopher M Coley; Irina K Kamis; Bradley M Wertheim; Douglas E Wright; Kent B Lewandrowski; Jason M Baron
Journal:  Am J Clin Pathol       Date:  2017-08-01       Impact factor: 2.493

8.  Investigation of polycystic ovarian syndrome: variation in practice and impact on the speed of diagnosis.

Authors:  Amar M Karia; Christopher J Duff; Adrian H Heald; Ingrid Britton; Anthony A Fryer; Pensée Wu
Journal:  Cardiovasc Endocrinol Metab       Date:  2021-02-23

9.  Clinical laboratory services for primary healthcare centers in urban cities: a pilot ACO model of ten primary healthcare centers.

Authors:  Soha A Tashkandi; Ali Alenezi; Ismail Bakhsh; Abdullah AlJuryyan; Zahir H AlShehry; Saeed AlRashdi; Maryjane Guzman; Marvin Pono; Franklin Lim; April Rose Tabudlong; Lamees Elwan; Musa Fagih; Ahmad Aboabat
Journal:  BMC Fam Pract       Date:  2021-05-27       Impact factor: 2.497

10.  Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests.

Authors:  Md Mohaimenul Islam; Tahmina Nasrin Poly; Hsuan-Chia Yang; Yu-Chuan Jack Li
Journal:  Diagnostics (Basel)       Date:  2021-05-29
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