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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Data Collection [E05.318.308]
Records as Topic [E05.318.308.940]
Medical Records [E05.318.308.940.968]
Medical Records Systems, Computerized [E05.318.308.940.968.625]
Electronic Health Records [E05.318.308.940.968.625.500]

Below are MeSH descriptors whose meaning is related to "Electronic Health Records".

Below are MeSH descriptors whose meaning is more specific than "Electronic Health Records".

Electronic Health Records
Health Information Exchange

publications

Timeline | Most Recent

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.

Bar chart showing 266 publications over 17 distinct years, with a maximum of 27 publications in 2021

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
2010	5	3	8
2011	4	2	6
2012	5	4	9
2013	4	12	16
2014	8	4	12
2015	3	9	12
2016	8	8	16
2017	13	10	23
2018	9	9	18
2019	17	9	26
2020	5	7	12
2021	6	21	27
2022	3	4	7
2023	9	14	23
2024	10	7	17
2025	11	4	15
2026	10	9	19

Below are the most recent publications written about "Electronic Health Records" by people in Profiles.

Finlay AK, Binswanger I, Harris AHS, Stimmel M, Yu M, Singh K, Tsai J. Assessing methods to identify Veterans Health Administration populations with Veterans Justice Programs contact to improve health research. PLoS One. 2026; 21(9):e0357665.

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Morgan J, Cahill J, Ritchie C, Zhang L, Gazarian P. Family engagement on neuroscience units with Post-covid visiting policies: A retrospective chart review. Int J Nurs Knowl. 2026 Apr; 37(2):176-189.

View in: PubMed
Patel KS, Bovell-Ammon B, Van Siclen R, Miller W, Zellmer L, Fu SS, Chamberlain AM, Drawz PE, Rossom R, Wilhelm A, Winkelman TNA. Comparison of statewide substance use disorder prevalence estimates from survey data vs electronic health record data. Drug Alcohol Depend. 2026 Oct 01; 287:113313.

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Akhagbosu J, Capan M, Balasubramanian H, Kamine TH. Characterizing surgeon workload with electronic health record data to predict time interval between surgeries and postoperative care delivery. J Am Med Inform Assoc. 2026 Aug 01; 33(8):1423-1435.

View in: PubMed
Brunner J, Sterling R, Cole E, Weiss J, Faas B, Nosbush C, Ahlness EA, Wong ES, Rinne ST, Cutrona SL. Harnessing institutional knowledge: mixed methods evaluation of peer coaching in a multi-site EHR transition. J Am Med Inform Assoc. 2026 Aug 01; 33(8):1485-1493.

View in: PubMed
Humphries C, Anand A, Casey A, Chapman W, Harrison K, Hillis JM, James E, MacIntyre DJ, Nicholson K, Schölin L, Taylor RA, Tomlinson C, Robertson D. Natural language processing-driven knowledge graphs for transformative public health intelligence and research datasets in urgent and emergency care. Front Public Health. 2026; 14:1901339.

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Epstein MM, Susick L, Liu F, Zhou Y, Goldthwait L, Bole S, Haykus W, Divine G, Ramanathan M, Johnson CC. Rule-Based Algorithm to Identify Recurrent Non-Hodgkin Lymphoma in Electronic Health Data. JCO Clin Cancer Inform. 2026 07; 10(3):e2500208.

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Sheldrick RC, Hooker JL, Davignon M, Sakimura J, Qian Y, Croen LA. Using Real-World Evidence to Estimate the Predictive Value of Screening Questionnaires: Autism Screening as a Case Example. Acad Pediatr. 2026 Aug; 26(6):103351.

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Sheldrick RC, Hooker JL, Davignon M, Sakimura J, Qian Y, Croen LA. Tailoring Screening Algorithms for a Large Health System: Autism Screening as a Case Example. Acad Pediatr. 2026 Aug; 26(6):103350.

View in: PubMed
Brunner J, Bilodeau C, Molloy-Paolillo B, Helfrich CD, Dashtestani K, Cohen-Bearak A, Hauck JD, Herout J, Fuller H, Nebeker JR, Cutrona SL, Rinne ST. Clinical Standardization Across a National Health System: Perspectives From the Veterans Affairs' Electronic Health Record Transition. Med Care. 2026 Jul 01; 64(7):442-446.

View in: PubMed

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