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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2009 | 1 | 0 | 1 |
| 2010 | 11 | 4 | 15 |
| 2011 | 20 | 3 | 23 |
| 2012 | 14 | 4 | 18 |
| 2013 | 22 | 12 | 34 |
| 2014 | 22 | 9 | 31 |
| 2015 | 22 | 9 | 31 |
| 2016 | 20 | 18 | 38 |
| 2017 | 24 | 24 | 48 |
| 2018 | 25 | 11 | 36 |
| 2019 | 23 | 17 | 40 |
| 2020 | 20 | 19 | 39 |
| 2021 | 22 | 24 | 46 |
| 2022 | 14 | 22 | 36 |
| 2023 | 11 | 17 | 28 |
| 2024 | 24 | 22 | 46 |
| 2025 | 28 | 14 | 42 |
| 2026 | 10 | 8 | 18 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Leveraging Administrative Health Data to Capture Rare Adverse Drug Reactions: Identifying Pediatric Patients With Trimethoprim-Sulfamethoxazole Acute Respiratory Distress Syndrome. Pharmacol Res Perspect. 2026 Aug; 14(4):e70289.
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Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions. Rheumatol Int. 2026 Jun 22; 46(7).
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SPELL: A scalable NLP method using regular expressions and large language models for clinical information extraction. Comput Methods Programs Biomed. 2026 Oct; 285:109517.
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Systematic Evaluation of Data and Trial Fitness for Oncology Trial Emulation: Empirical Findings from the CARE Initiative. Clin Pharmacol Ther. 2026 08; 120(2):440-451.
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Trajectories of Treatment Disruption for Chronic Outpatient Medications for U.S. Veterans During Drug Shortages. Pharmacoepidemiol Drug Saf. 2026 Jun; 35(6):e70393.
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Nudging provider adoption of clinical decision support: study protocol for a stepped-wedge cluster randomized, hybrid type III trial of an electronic health record-agnostic pulmonary embolism risk tool. Implement Sci. 2026 May 25; 21(1).
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A Large, Diverse, Urban Cardiovascular Health e-Cohort in Childhood and Adolescence: Protocol for the Young Hearts Study. JMIR Res Protoc. 2026 May 21; 15:e82619.
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A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS). J Natl Med Assoc. 2026 Aug; 118(4):789-816.
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Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence-Powered Scribes: A Multisite Study. JAMA. 2026 04 28; 335(16):1408-1417.
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Feasibility of Automated Laboratory Data Ascertainment and Transfer From Hospitals Into Medidata Rave Across Pediatric National Cancer Institute-Supported Cooperative Groups. JCO Clin Cancer Inform. 2026 Apr; 10(2):e2500359.