 Electronic Health Records
"Electronic Health Records" 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.
Media that facilitate transportability of pertinent information concerning patient's illness across varied providers and geographic locations. Some versions include direct linkages to online consumer health information that is relevant to the health conditions and treatments related to a specific patient.
| Descriptor ID |
D057286
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| MeSH Number(s) |
E05.318.308.940.968.625.500
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| Concept/Terms |
Electronic Health Records- Electronic Health Records
- Electronic Medical Records
- Electronic Medical Record
- Medical Record, Electronic
- Medical Records, Electronic
- Record, Electronic Medical
- Records, Electronic Medical
- Electronic Health Record
- Health Record, Electronic
- Health Records, Electronic
- Record, Electronic Health
- Records, Electronic Health
Medical Records, Computerized- Medical Records, Computerized
- Medical Record, Computerized
- Computerized Medical Record
- Record, Computerized Medical
- Records, Computerized Medical
- Computerized Medical Records
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Below are MeSH descriptors whose meaning is more general than "Electronic Health Records".
Below are MeSH descriptors whose meaning is more specific than "Electronic Health Records".
This graph shows the total number of publications written about "Electronic Health Records" by people in this website by year, and whether "Electronic Health Records" 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 |
|---|
| 2009 | 2 | 1 | 3 | | 2010 | 9 | 4 | 13 | | 2011 | 12 | 8 | 20 | | 2012 | 15 | 8 | 23 | | 2013 | 22 | 13 | 35 | | 2014 | 25 | 23 | 48 | | 2015 | 15 | 10 | 25 | | 2016 | 18 | 21 | 39 | | 2017 | 15 | 22 | 37 | | 2018 | 23 | 23 | 46 | | 2019 | 19 | 16 | 35 | | 2020 | 20 | 25 | 45 | | 2021 | 9 | 16 | 25 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Belbin GM, Rutledge S, Dodatko T, Cullina S, Turchin MC, Kohli S, Torre D, Yee MC, Gignoux CR, Abul-Husn NS, Houten SM, Kenny EE. Leveraging health systems data to characterize a large effect variant conferring risk for liver disease in Puerto Ricans. Am J Hum Genet. 2021 11 04; 108(11):2099-2111.
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Sottile PD, Albers D, DeWitt PE, Russell S, Stroh JN, Kao DP, Adrian B, Levine ME, Mooney R, Larchick L, Kutner JS, Wynia MK, Glasheen JJ, Bennett TD. Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study. J Am Med Inform Assoc. 2021 10 12; 28(11):2354-2365.
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Lenoir KM, Wagenknecht LE, Divers J, Casanova R, Dabelea D, Saydah S, Pihoker C, Liese AD, Standiford D, Hamman R, Wells BJ. Determining diagnosis date of diabetes using structured electronic health record (EHR) data: the SEARCH for diabetes in youth study. BMC Med Res Methodol. 2021 10 10; 21(1):210.
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Kenny J, Costello L, Kelsay K, Bunik M, Xiong S, Chiaravalloti L, Millar A, Talmi A. All Hands on Deck: Addressing Adolescent Depression in Pediatric Primary Care. J Pediatr Psychol. 2021 08 19; 46(8):903-911.
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Fu LH, Knaplund C, Cato K, Perotte A, Kang MJ, Dykes PC, Albers D, Collins Rossetti S. Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. J Am Med Inform Assoc. 2021 08 13; 28(9):1955-1963.
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Suls J, Bayliss EA, Berry J, Bierman AS, Chrischilles EA, Farhat T, Fortin M, Koroukian SM, Quinones A, Silber JH, Ward BW, Wei M, Young-Hyman D, Klabunde CN. Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source. Med Care. 2021 08 01; 59(8):743-756.
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Kim J, Neumann L, Paul P, Day ME, Aratow M, Bell DS, Doctor JN, Hinske LC, Jiang X, Kim KK, Matheny ME, Meeker D, Pletcher MJ, Schilling LM, SooHoo S, Xu H, Zheng K, Ohno-Machado L. Privacy-protecting, reliable response data discovery using COVID-19 patient observations. J Am Med Inform Assoc. 2021 07 30; 28(8):1765-1776.
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Lasser EC, Kim JM, Hatef E, Kharrazi H, Marsteller JA, DeCamp LR. Social and Behavioral Variables in the Electronic Health Record: A Path Forward to Increase Data Quality and Utility. Acad Med. 2021 07 01; 96(7):1050-1056.
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Stoto MA, Rothwell C, Lichtveld M, Wynia MK. A National Framework to Improve Mortality, Morbidity, and Disparities Data for COVID-19 and Other Large-Scale Disasters. Am J Public Health. 2021 07; 111(S2):S93-S100.
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Morris AH, Stagg B, Lanspa M, Orme J, Clemmer TP, Weaver LK, Thomas F, Grissom CK, Hirshberg E, East TD, Wallace CJ, Young MP, Sittig DF, Pesenti A, Bombino M, Beck E, Sward KA, Weir C, Phansalkar SS, Bernard GR, Taylor Thompson B, Brower R, Truwit JD, Steingrub J, Duncan Hite R, Willson DF, Zimmerman JJ, Nadkarni VM, Randolph A, Curley MAQ, Newth CJL, Lacroix J, Agus MSD, Lee KH, deBoisblanc BP, Scott Evans R, Sorenson DK, Wong A, Boland MV, Grainger DW, Dere WH, Crandall AS, Facelli JC, Huff SM, Haug PJ, Pielmeier U, Rees SE, Karbing DS, Andreassen S, Fan E, Goldring RM, Berger KI, Oppenheimer BW, Wesley Ely E, Gajic O, Pickering B, Schoenfeld DA, Tocino I, Gonnering RS, Pronovost PJ, Savitz LA, Dreyfuss D, Slutsky AS, Crapo JD, Angus D, Pinsky MR, James B, Berwick D. Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J Am Med Inform Assoc. 2021 06 12; 28(6):1330-1344.
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