"Medical Informatics" 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.
The field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine.
| Descriptor ID |
D008490
|
| MeSH Number(s) |
L01.313.500
|
| Concept/Terms |
Medical Informatics- Medical Informatics
- Health Informatics
- Informatics, Health
- Informatics, Medical
Medical Computer Science- Medical Computer Science
- Computer Science, Medical
- Medical Computer Sciences
- Science, Medical Computer
Health Information Technology- Health Information Technology
- Health Information Technologies
- Information Technology, Health
- Technology, Health Information
|
Below are MeSH descriptors whose meaning is more general than "Medical Informatics".
Below are MeSH descriptors whose meaning is more specific than "Medical Informatics".
This graph shows the total number of publications written about "Medical Informatics" by people in this website by year, and whether "Medical Informatics" 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 |
|---|
| 2002 | 0 | 2 | 2 |
| 2005 | 1 | 0 | 1 |
| 2009 | 2 | 0 | 2 |
| 2010 | 3 | 1 | 4 |
| 2011 | 3 | 0 | 3 |
| 2013 | 4 | 3 | 7 |
| 2014 | 2 | 0 | 2 |
| 2017 | 1 | 0 | 1 |
| 2018 | 0 | 1 | 1 |
| 2019 | 1 | 0 | 1 |
| 2020 | 0 | 1 | 1 |
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click here.
Below are the most recent publications written about "Medical Informatics" by people in Profiles.
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Kaminski M, Mangat M. Population Health Platforms - Evolution in Understanding from Two "Veterans" of the Population Health Journey. Popul Health Manag. 2020 08; 23(4):276-277.
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Mezoff EA, Minneci PC, Hoyt RR, Hoffman JM. Toward an Electronic Health Record Leveraged to Learn from Every Complex Patient Encounter: Health Informatics Considerations with Pediatric Intestinal Rehabilitation as a Model. J Pediatr. 2019 12; 215:257-263.
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Prinzen FW, Dagres N, Bollmann A, Arnar DO, Bove S, Camm J, Casadei B, Kirchhof P, Kuck KH, Lumens J, Michel MC, Schwartz PJ, Van Vleymen B, Vardas P, Hindricks G. Innovation in cardiovascular disease in Europe with focus on arrhythmias: current status, opportunities, roadblocks, and the role of multiple stakeholders. Europace. 2018 05 01; 20(5):733-738.
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Hughes KS, Ambinder EP, Hess GP, Yu PP, Bernstam EV, Routbort MJ, Clemenceau JR, Hamm JT, Febbo PG, Domchek SM, Chen JL, Warner JL. Identifying Health Information Technology Needs of Oncologists to Facilitate the Adoption of Genomic Medicine: Recommendations From the 2016 American Society of Clinical Oncology Omics and Precision Oncology Workshop. J Clin Oncol. 2017 Sep 20; 35(27):3153-3159.
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Sivaganesan A, Manley GT, Huang MC. Informatics for neurocritical care: challenges and opportunities. Neurocrit Care. 2014 Feb; 20(1):132-41.
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Nash DB. Population health: moving forward. Popul Health Manag. 2014 Feb; 17(1):1-2.
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Aspry KE, Furman R, Karalis DG, Jacobson TA, Zhang AM, Liptak GS, Cohen JD. Effect of health information technology interventions on lipid management in clinical practice: a systematic review of randomized controlled trials. J Clin Lipidol. 2013 Nov-Dec; 7(6):546-60.
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Cohen JD, Aspry KE, Brown AS, Foody JM, Furman R, Jacobson TA, Karalis DG, Kris-Etherton PM, Laforge R, O'Toole MF, Scott RD, Underberg JA, Valuck TB, Willard KE, Ziajka PE, Ito MK. Use of health information technology (HIT) to improve statin adherence and low-density lipoprotein cholesterol goal attainment in high-risk patients: proceedings from a workshop. J Clin Lipidol. 2013 Nov-Dec; 7(6):573-609.
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Johnson JK, Arora VM, Barach PR. What can artefact analysis tell us about patient transitions between the hospital and primary care? Lessons from the HANDOVER project. Eur J Gen Pract. 2013 Sep; 19(3):185-93.
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Buckler AJ, Paik D, Ouellette M, Danagoulian J, Wernsing G, Suzek BE. A novel knowledge representation framework for the statistical validation of quantitative imaging biomarkers. J Digit Imaging. 2013 Aug; 26(4):614-29.