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 |
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2009 | 2 | 1 | 3 | 2010 | 10 | 4 | 14 | 2011 | 12 | 7 | 19 | 2012 | 16 | 8 | 24 | 2013 | 26 | 16 | 42 | 2014 | 29 | 24 | 53 | 2015 | 19 | 11 | 30 | 2016 | 22 | 23 | 45 | 2017 | 15 | 26 | 41 | 2018 | 24 | 27 | 51 | 2019 | 19 | 17 | 36 | 2020 | 27 | 26 | 53 | 2021 | 14 | 29 | 43 | 2022 | 14 | 20 | 34 | 2023 | 16 | 20 | 36 | 2024 | 0 | 2 | 2 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Jenkins TC, Keith A, Stein AB, Hersh AL, Narayan R, Eggleston A, Rinehart DJ, Patel PK, Walter E, Hargraves IG, Frost HM. Interventions to de-implement unnecessary antibiotic prescribing for ear infections (DISAPEAR Trial): protocol for a cluster-randomized trial. BMC Infect Dis. 2024 Jan 24; 24(1):126.
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Hirsch AG, Conderino S, Crume TL, Liese AD, Bellatorre A, Bendik S, Divers J, Anthopolos R, Dixon BE, Guo Y, Imperatore G, Lee DC, Reynolds K, Rosenman M, Shao H, Utidjian L, Thorpe LE. Using electronic health records to enhance surveillance of diabetes in children, adolescents and young adults: a study protocol for the DiCAYA Network. BMJ Open. 2024 01 17; 14(1):e073791.
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England BR, Roul P, Yang Y, Hershberger D, Sayles H, Rojas J, Cannon GW, Sauer BC, Curtis JR, Baker JF, Mikuls TR. Extracting forced vital capacity from the electronic health record through natural language processing in rheumatoid arthritis-associated interstitial lung disease. Pharmacoepidemiol Drug Saf. 2024 Jan; 33(1):e5744.
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Mezoff EA, Gil LA, Lee JA, Gumer L, Namjoshi SS, Hoffman JM, Wendel D. Digital Phenotype Generation and Time to Encounter Closure. JAMA Pediatr. 2023 Dec 01; 177(12):1358-1360.
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Eng D, Ospelt E, Miyazaki B, McDonough R, Indyk JA, Wolf R, Lyons S, Neyman A, Fogel NR, Basina M, Gallagher MP, Ebekozien O, Alonso GT, Jones NY, Lee JM. The Design of the Electronic Health Record in Type 1 Diabetes Centers: Implications for Metrics and Data Availability for a Quality Collaborative. J Diabetes Sci Technol. 2024 Jan; 18(1):30-38.
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Wang Y, Stroh JN, Hripcsak G, Low Wang CC, Bennett TD, Wrobel J, Der Nigoghossian C, Mueller SW, Claassen J, Albers DJ. A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J Biomed Inform. 2023 Dec; 148:104547.
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Liu S, Wen A, Wang L, He H, Fu S, Miller R, Williams A, Harris D, Kavuluru R, Liu M, Abu-El-Rub N, Schutte D, Zhang R, Rouhizadeh M, Osborne JD, He Y, Topaloglu U, Hong SS, Saltz JH, Schaffter T, Pfaff E, Chute CG, Duong T, Haendel MA, Fuentes R, Szolovits P, Xu H, Liu H. An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J Am Med Inform Assoc. 2023 Nov 17; 30(12):2036-2040.
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Morris MA, Sarmiento C, Eberle K. Documentation of Disability Status and Accommodation Needs in the Electronic Health Record: A Qualitative Study of Health Care Organizations' Current Practices. Jt Comm J Qual Patient Saf. 2024 Jan; 50(1):16-23.
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Keith A, Jenkins TC, O'Leary S, Stein AB, Katz SE, Newland J, Rinehart DJ, Gilbert A, Dodd S, Terrill CM, Frost HM. Reducing length of antibiotics for children with ear infections: protocol for a cluster-randomized trial in the USA. J Comp Eff Res. 2023 Nov; 12(11):e230088.
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Levy DR, Moy AJ, Apathy N, Adler-Milstein J, Rotenstein L, Nath B, Rosenbloom ST, Kannampallil T, Mishuris RG, Alexanian A, Sieja A, Hribar MR, Patel JS, Sinsky CA, Melnick ER. Identifying and Addressing Barriers to Implementing Core Electronic Health Record Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings. Appl Clin Inform. 2023 10; 14(5):944-950.
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