 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 | 1 | 1 | 2 | | 2010 | 7 | 4 | 11 | | 2011 | 11 | 9 | 20 | | 2012 | 16 | 6 | 22 | | 2013 | 22 | 13 | 35 | | 2014 | 29 | 24 | 53 | | 2015 | 14 | 11 | 25 | | 2016 | 17 | 20 | 37 | | 2017 | 16 | 24 | 40 | | 2018 | 25 | 25 | 50 | | 2019 | 17 | 10 | 27 | | 2020 | 1 | 3 | 4 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Neuraz A, Lerner I, Digan W, Paris N, Tsopra R, Rogier A, Baudoin D, Cohen KB, Burgun A, Garcelon N, Rance B. Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic. J Med Internet Res. 2020 Aug 14; 22(8):e20773.
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Portz JD, Brungardt A, Shanbhag P, Staton EW, Bose-Brill S, Lin CT, Kutner JS, Lum HD. Advance Care Planning Among Users of a Patient Portal During the COVID-19 Pandemic: Retrospective Observational Study. J Med Internet Res. 2020 08 11; 22(8):e21385.
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Anthamatten P, Thomas DSK, Williford D, Barrow JC, Bol KA, Davidson AJ, Deakyne Davies SJ, Kraus EM, Tabano DC, Daley MF. Geospatial Monitoring of Body Mass Index: Use of Electronic Health Record Data Across Health Care Systems. Public Health Rep. 2020 Mar/Apr; 135(2):211-219.
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Greene RA, Zullo AR, Mailloux CM, Berard-Collins C, Levy MM, Amass T. Effect of Best Practice Advisories on Sedation Protocol Compliance and Drug-Related Hazardous Condition Mitigation Among Critical Care Patients. Crit Care Med. 2020 02; 48(2):185-191.
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De Marchis EH, Hessler D, Fichtenberg C, Adler N, Byhoff E, Cohen AJ, Doran KM, Ettinger de Cuba S, Fleegler EW, Lewis CC, Lindau ST, Tung EL, Huebschmann AG, Prather AA, Raven M, Gavin N, Jepson S, Johnson W, Ochoa E, Olson AL, Sandel M, Sheward RS, Gottlieb LM. Part I: A Quantitative Study of Social Risk Screening Acceptability in Patients and Caregivers. Am J Prev Med. 2019 12; 57(6 Suppl 1):S25-S37.
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Denburg MR, Razzaghi H, Bailey LC, Soranno DE, Pollack AH, Dharnidharka VR, Mitsnefes MM, Smoyer WE, Somers MJG, Zaritsky JJ, Flynn JT, Claes DJ, Dixon BP, Benton M, Mariani LH, Forrest CB, Furth SL. Using Electronic Health Record Data to Rapidly Identify Children with Glomerular Disease for Clinical Research. J Am Soc Nephrol. 2019 12; 30(12):2427-2435.
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Scott HF, Colborn KL, Sevick CJ, Bajaj L, Kissoon N, Deakyne Davies SJ, Kempe A. Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival. J Pediatr. 2020 02; 217:145-151.e6.
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Tsai AG. Integrating Obesity Treatment Into Routine Primary Care. Ann Intern Med. 2019 12 03; 171(11):847-848.
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Valle JA, Ho PM. Supporting Decisions or Decision Support? Challenges of Achieving Meaningful Clinical Decision Support in the Modern Era of the Electronic Health Record. J Am Heart Assoc. 2019 11 19; 8(22):e014704.
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Bronsert M, Singh AB, Henderson WG, Hammermeister K, Meguid RA, Colborn KL. Identification of postoperative complications using electronic health record data and machine learning. Am J Surg. 2020 07; 220(1):114-119.
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