 Medical Informatics Applications
"Medical Informatics Applications" 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.
Automated systems applied to the patient care process including diagnosis, therapy, and systems of communicating medical data within the health care setting.
| Descriptor ID |
D008491
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| MeSH Number(s) |
L01.700.508
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| Concept/Terms |
Medical Informatics Applications- Medical Informatics Applications
- Informatics Applications, Medical
- Application, Medical Informatics
- Informatics Application, Medical
- Medical Informatics Application
- Applications, Medical Informatics
|
Below are MeSH descriptors whose meaning is more general than "Medical Informatics Applications".
Below are MeSH descriptors whose meaning is more specific than "Medical Informatics Applications".
This graph shows the total number of publications written about "Medical Informatics Applications" by people in this website by year, and whether "Medical Informatics Applications" 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 |
|---|
| 2003 | 1 | 0 | 1 | | 2010 | 3 | 0 | 3 |
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Below are the most recent publications written about "Medical Informatics Applications" by people in Profiles.
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Venepalli NK, Qamruzzaman Y, Li JJ, Lussier YA, Boyd AD. Identifying clinically disruptive International Classification of Diseases 10th Revision Clinical Modification conversions to mitigate financial costs using an online tool. J Oncol Pract. 2014 Mar; 10(2):97-103.
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Baig AA, Wilkes AE, Davis AM, Peek ME, Huang ES, Bell DS, Chin MH. The use of quality improvement and health information technology approaches to improve diabetes outcomes in African American and Hispanic patients. Med Care Res Rev. 2010 Oct; 67(5 Suppl):163S-197S.
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Ngo-Metzger Q, Hayes GR. Improving communication between patients and providers using health information technology and other quality improvement strategies: focus on low-income children. Med Care Res Rev. 2010 Oct; 67(5 Suppl):246S-267S.
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Ngo-Metzger Q, Hayes GR. Improving communication between patients and providers using health information technology and other quality improvement strategies: focus on Asian Americans. Med Care Res Rev. 2010 Oct; 67(5 Suppl):231S-245S.
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Lussier YA, Butte AJ, Hunter L. Current methodologies for translational bioinformatics. J Biomed Inform. 2010 Jun; 43(3):355-7.
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Bernstam EV, Hersh WR, Johnson SB, Chute CG, Nguyen H, Sim I, Nahm M, Weiner MG, Miller P, DiLaura RP, Overcash M, Lehmann HP, Eichmann D, Athey BD, Scheuermann RH, Anderson N, Starren J, Harris PA, Smith JW, Barbour E, Silverstein JC, Krusch DA, Nagarajan R, Becich MJ. Synergies and distinctions between computational disciplines in biomedical research: perspective from the Clinical andTranslational Science Award programs. Acad Med. 2009 Jul; 84(7):964-70.
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Vannier MW. Craniofacial imaging informatics and technology development. Orthod Craniofac Res. 2003; 6 Suppl 1:73-81; discussion 179-82.
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