 Decision Support Systems, Clinical
"Decision Support Systems, Clinical" 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.
Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care.
| Descriptor ID |
D020000
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| MeSH Number(s) |
L01.700.508.300.190
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Decision Support Systems, Clinical".
Below are MeSH descriptors whose meaning is more specific than "Decision Support Systems, Clinical".
This graph shows the total number of publications written about "Decision Support Systems, Clinical" by people in this website by year, and whether "Decision Support Systems, Clinical" 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 |
|---|
| 2004 | 0 | 1 | 1 | | 2005 | 1 | 0 | 1 | | 2007 | 4 | 0 | 4 | | 2008 | 1 | 0 | 1 | | 2010 | 0 | 1 | 1 | | 2011 | 4 | 0 | 4 | | 2012 | 1 | 0 | 1 | | 2013 | 2 | 1 | 3 | | 2014 | 3 | 1 | 4 | | 2015 | 6 | 1 | 7 | | 2016 | 3 | 0 | 3 | | 2017 | 4 | 2 | 6 | | 2018 | 5 | 3 | 8 | | 2019 | 6 | 3 | 9 | | 2020 | 2 | 1 | 3 | | 2021 | 1 | 0 | 1 | | 2022 | 3 | 0 | 3 |
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Below are the most recent publications written about "Decision Support Systems, Clinical" by people in Profiles.
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Kagarmanova A, Sparkman H, Laiteerapong N, Thompson K, Rosul L, Lazar D, Staab E, Wan W, Kass A, Ari M. Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for I-COPE study. Trials. 2022 Jul 27; 23(1):602.
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Grauer A, Kneifati-Hayek J, Reuland B, Applebaum JR, Adelman JS, Green RA, Lisak-Phillips J, Liebovitz D, Byrd TF, Kansal P, Wilkes C, Falck S, Larson C, Shilka J, VanDril E, Schiff GD, Galanter WL, Lambert BL. Indication alerts to improve problem list documentation. J Am Med Inform Assoc. 2022 04 13; 29(5):909-917.
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Saraiya M, Colbert J, Bhat GL, Almonte R, Winters DW, Sebastian S, O'Hanlon M, Meadows G, Nosal MR, Richards TB, Michaels M, Townsend JS, Miller JW, Perkins RB, Sawaya GF, Wentzensen N, White MC, Richardson LC. Computable Guidelines and Clinical Decision Support for Cervical Cancer Screening and Management to Improve Outcomes and Health Equity. J Womens Health (Larchmt). 2022 04; 31(4):462-468.
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Ridgway JP, Robicsek A, Shah N, Smith BA, Singh K, Semel J, Acree ME, Grant J, Ravichandran U, Peterson LR. A Randomized Controlled Trial of an Electronic Clinical Decision Support Tool for Inpatient Antimicrobial Stewardship. Clin Infect Dis. 2021 05 04; 72(9):e265-e271.
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Clausen CE, Leventhal BL, Nytrø Ø, Koposov R, Westbye OS, Røst TB, Bakken V, Koochakpour K, Thorvik K, Skokauskas N. Clinical Decision Support Systems: An Innovative Approach to Enhancing Child and Adolescent Mental Health Services. J Am Acad Child Adolesc Psychiatry. 2021 05; 60(5):562-565.
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Clausen CE, Leventhal BL, Nytrø Ø, Koposov R, Westbye OS, Røst TB, Bakken V, Koochakpour K, Thorvik K, Skokauskas N. Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents. BMC Med Inform Decis Mak. 2020 09 17; 20(1):232.
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Gordon SM, Srinivasan L, Taylor DM, Master SR, Tremoglie MA, Hankeova A, Flannery DD, Abbasi S, Fitzgerald JC, Harris MC. Derivation of a metabolic signature associated with bacterial meningitis in infants. Pediatr Res. 2020 08; 88(2):184-191.
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Falciglia GH, Murthy K, Holl JL, Palac HL, Woods DM, Robinson DT. Low prevalence of clinical decision support to calculate caloric and fluid intake for infants in the neonatal intensive care unit. J Perinatol. 2020 03; 40(3):497-503.
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Ginestra JC, Giannini HM, Schweickert WD, Meadows L, Lynch MJ, Pavan K, Chivers CJ, Draugelis M, Donnelly PJ, Fuchs BD, Umscheid CA. Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock. Crit Care Med. 2019 11; 47(11):1477-1484.
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Giannini HM, Ginestra JC, Chivers C, Draugelis M, Hanish A, Schweickert WD, Fuchs BD, Meadows L, Lynch M, Donnelly PJ, Pavan K, Fishman NO, Hanson CW, Umscheid CA. A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice. Crit Care Med. 2019 11; 47(11):1485-1492.
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