 Benchmarking
"Benchmarking" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Method of measuring performance against established standards of best practice.
| Descriptor ID |
D019985
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| MeSH Number(s) |
N04.452.500.150 N04.761.685.150 N04.761.700.150 N05.700.150 N05.715.360.650.150
|
| Concept/Terms |
Benchmarking- Benchmarking
- Best Practice Analysis
- Analysis, Best Practice
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Below are MeSH descriptors whose meaning is more general than "Benchmarking".
Below are MeSH descriptors whose meaning is more specific than "Benchmarking".
This graph shows the total number of publications written about "Benchmarking" by people in this website by year, and whether "Benchmarking" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2000 | 0 | 2 | 2 | | 2001 | 0 | 1 | 1 | | 2002 | 0 | 1 | 1 | | 2003 | 0 | 1 | 1 | | 2004 | 0 | 2 | 2 | | 2005 | 2 | 0 | 2 | | 2006 | 0 | 1 | 1 | | 2007 | 2 | 0 | 2 | | 2008 | 1 | 2 | 3 | | 2011 | 1 | 1 | 2 | | 2012 | 0 | 1 | 1 | | 2013 | 0 | 4 | 4 | | 2014 | 0 | 1 | 1 | | 2015 | 3 | 0 | 3 | | 2016 | 2 | 1 | 3 | | 2017 | 1 | 2 | 3 | | 2018 | 2 | 2 | 4 | | 2019 | 2 | 3 | 5 | | 2020 | 1 | 2 | 3 | | 2021 | 4 | 2 | 6 |
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Below are the most recent publications written about "Benchmarking" by people in Profiles.
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Kobashigawa JA, Hall S, Farr M, Blumberg E, Michael Borkon A, Colvin M, Copeland H, Eisen H, Johnson M, Jorde U, Khush K, Kirklin JK, Patel J, Pinney S, Saadaeijahromi H, Schold JD, Stehlik J. Proceedings from the metrics forum in heart transplantation for performance monitoring. Am J Transplant. 2022 05; 22(5):1299-1306.
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Shah A, Mittleman BE, Gilad Y, Li YI. Benchmarking sequencing methods and tools that facilitate the study of alternative polyadenylation. Genome Biol. 2021 10 14; 22(1):291.
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Cooper-DeHoff RM, Fontil V, Carton T, Chamberlain AM, Todd J, O'Brien EC, Shaw KM, Smith M, Choi S, Nilles EK, Ford D, Tecson KM, Dennar PE, Ahmad F, Wu S, McClay JC, Azar K, Singh R, Faulkner Modrow M, Shay CM, Rakotz M, Wozniak G, Pletcher MJ. Tracking Blood Pressure Control Performance and Process Metrics in 25 US Health Systems: The PCORnet Blood Pressure Control Laboratory. J Am Heart Assoc. 2021 11 02; 10(21):e022224.
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Jeevanandam V. Improving the metrics for donor heart sizing. J Card Surg. 2021 Sep; 36(9):3250.
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Jonsson H, Magnusson OT, Melsted P, Berglund J, Agustsdottir AB, Eiríksdottir B, Fridriksdottir R, Garðarsdottir EE, Georgsson G, Gretarsdottir OS, Guðmundsson KR, Gunnarsdottir TR, Eggertsson H, Gylfason A, Holm H, Jensson BO, Jonasdottir A, Jonsson F, Josefsdottir KS, Thordardottir M, Kristinsson KG, Kristjánsson Þ, Magnusdottir DN, Roux LL, Saemundsdottir J, Sigurdsson A, Sigmundsdottir G, Sveinbjornsson G, Rognvaldsson S, Eiriksson O, Magnusson MK, Sveinsdottir KE, Sveinsdottir M, Thorarensen EA, Thorbjornsson B, Löve A, Norddahl GL, Jonsdottir I, Sulem P, Masson G, Moller A, Gudnason T, Kristjansson M, Helgason A, Gudbjartsson DF, Thorsteinsdottir U, Stefansson K. Molecular benchmarks of a SARS-CoV-2 epidemic. Nat Commun. 2021 06 15; 12(1):3633.
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Miller KEM, Gorges RJ, Konetzka RT, Van Houtven CH. The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes. J Am Med Dir Assoc. 2021 05; 22(5):955-959.e3.
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Moledina DG, Belliveau O, Yamamoto Y, Arora T, Carey KA, Churpek M, Martin M, Partridge CM, Mansour SG, Parikh CR, Koyner JL, Wilson FP. Variation in Best Practice Measures in Patients With Severe Hospital-Acquired Acute Kidney Injury: A Multicenter Study. Am J Kidney Dis. 2021 04; 77(4):547-549.
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Liu JB, Schuitevoerder D, Vining CC, Berger Y, Turaga KK, Eng OS. Benchmarking Perioperative Outcomes of Cytoreductive Surgery for Cancer: Implications for Quality Measurement. Ann Surg Oncol. 2020 Dec; 27(13):5039-5046.
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Agius R, Brieghel C, Andersen MA, Pearson AT, Ledergerber B, Cozzi-Lepri A, Louzoun Y, Andersen CL, Bergstedt J, von Stemann JH, Jørgensen M, Tang ME, Fontes M, Bahlo J, Herling CD, Hallek M, Lundgren J, MacPherson CR, Larsen J, Niemann CU. Machine learning can identify newly diagnosed patients with CLL at high risk of infection. Nat Commun. 2020 01 17; 11(1):363.
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Cook DJ, Kaskovich S, Pirkle S, Ho A, Conti Mica M, Shi L, Lee M. Benchmarks of Duration and Magnitude of Opioid Consumption After Common Spinal Procedures: A Database Analysis of 47,823 Patients. Spine (Phila Pa 1976). 2019 Dec 01; 44(23):1668-1675.
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