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
|
| MeSH Number(s) |
E05.318.308.940.968.625.500
|
| 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
|
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.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2016 | 2 | 0 | 2 |
| 2019 | 3 | 0 | 3 |
| 2020 | 0 | 3 | 3 |
| 2023 | 0 | 1 | 1 |
| 2025 | 1 | 0 | 1 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study. J Am Med Inform Assoc. 2025 May 01; 32(5):784-794.
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COVID-19 waves in an urban setting 2020-2022: an electronic medical record analysis. Front Public Health. 2024; 12:1323481.
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Improving antimicrobial use through better diagnosis: The relationship between diagnostic stewardship and antimicrobial stewardship. Infect Control Hosp Epidemiol. 2023 Dec; 44(12):1901-1908.
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Patient reported outcomes measures in gynecologic oncology: A primer for clinical use, Part II. Gynecol Oncol. 2020 07; 158(1):201-207.
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The Adoption and Implementation of Digital Health Care in the Post-COVID-19 Era. J Allergy Clin Immunol Pract. 2020 Sep; 8(8):2484-2486.
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Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Med Inform Decis Mak. 2020 04 29; 20(1):79.
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Validation of an alcohol misuse classifier in hospitalized patients. Alcohol. 2020 05; 84:49-55.
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Subtypes in patients with opioid misuse: A prognostic enrichment strategy using electronic health record data in hospitalized patients. PLoS One. 2019; 14(7):e0219717.
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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. J Am Med Inform Assoc. 2019 03 01; 26(3):254-261.
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Electronic multidimensional health assessment questionnaire (eMDHAQ): past, present and future of a proposed single data management system for clinical care, research, quality improvement, and monitoring of long-term outcomes. Clin Exp Rheumatol. 2016 Sep-Oct; 34(5 Suppl 101):S17-S33.