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 Record
- Medical Record, Electronic
- Medical Records, Electronic
- Record, Electronic Medical
- Records, Electronic Medical
- Electronic Medical Records
- Electronic Health Record
- Health Record, Electronic
- Health Records, Electronic
- Record, Electronic Health
- Records, Electronic Health
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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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2010 | 2 | 2 | 4 | 2011 | 3 | 4 | 7 | 2012 | 3 | 7 | 10 | 2013 | 5 | 2 | 7 | 2014 | 7 | 5 | 12 | 2015 | 6 | 3 | 9 | 2016 | 8 | 4 | 12 | 2017 | 14 | 7 | 21 | 2018 | 11 | 10 | 21 | 2019 | 12 | 10 | 22 | 2020 | 9 | 7 | 16 | 2021 | 9 | 11 | 20 | 2022 | 3 | 4 | 7 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Gander JC, Maiyani M, White LL, Sterrett AT, Güney B, Pawloski PA, DeFor T, Olsen Y, Rybicki BA, Neslund-Dudas C, Sheth D, Krajenta R, Purushothaman D, Honda S, Yonehara C, Goddard KAB, Prado YK, Ahsan H, Kibriya MG, Aschebrook-Kilfoy B, Chan CH, Hague S, Clarke CL, Thompson B, Sawyer J, Gaudet MM, Feigelson HS. Developing an algorithm across integrated healthcare systems to identify a history of cancer using electronic medical records. J Am Med Inform Assoc. 2022 06 14; 29(7):1217-1224.
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Mayampurath A, Sanchez-Pinto LN, Hegermiller E, Erondu A, Carey K, Jani P, Gibbons R, Edelson D, Churpek MM. Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU. Pediatr Crit Care Med. 2022 07 01; 23(7):514-523.
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Kaundinya T, Agrawal R. Unpacking a Telemedical Takeover: Recommendations for Improving the Sustainability and Usage of Telemedicine Post-COVID-19. Qual Manag Health Care. 2022 Apr-Jun 01; 31(2):68-73.
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Richter LD, Morley TJ, Hooker GW, Peay HL, Cox NJ, Ruderfer DM. Leveraging electronic health records to inform genetic counseling practice surrounding psychiatric disorders. J Genet Couns. 2022 Aug; 31(4):1008-1015.
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Yu J, Pacheco JA, Ghosh AS, Luo Y, Weng C, Shang N, Benoit B, Carrell DS, Carroll RJ, Dikilitas O, Freimuth RR, Gainer VS, Hakonarson H, Hripcsak G, Kullo IJ, Mentch F, Murphy SN, Peissig PL, Ramirez AH, Walton N, Wei WQ, Rasmussen LV. Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Med Inform Decis Mak. 2022 01 28; 22(1):23.
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Sun M, Oliwa T, Peek ME, Tung EL. Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record. Health Aff (Millwood). 2022 02; 41(2):203-211.
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Mishra V, Liebovitz D, Quinn M, Kang L, Yackel T, Hoyt R. Factors That Influence Clinician Experience with Electronic Health Records. Perspect Health Inf Manag. 2022; 19(1):1f.
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Lim S, Wyatt LC, Mammen S, Zanowiak JM, Mohaimin S, Troxel AB, Lindau ST, Gold HT, Shelley D, Trinh-Shevrin C, Islam NS. Implementation of a multi-level community-clinical linkage intervention to improve glycemic control among south Asian patients with uncontrolled diabetes: study protocol of the DREAM initiative. BMC Endocr Disord. 2021 Nov 23; 21(1):233.
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Gordon AJ, Banerjee I, Block J, Winstead-Derlega C, Wilson JG, Mitarai T, Jarrett M, Sanyal J, Rubin DL, Wintermark M, Kohn MA. Natural language processing of head CT reports to identify intracranial mass effect: CTIME algorithm. Am J Emerg Med. 2022 Jan; 51:388-392.
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Bi J, Khan A, Tang J, Armando AM, Wu S, Zhang W, Gimple RC, Reed A, Jing H, Koga T, Wong IT, Gu Y, Miki S, Yang H, Prager B, Curtis EJ, Wainwright DA, Furnari FB, Rich JN, Cloughesy TF, Kornblum HI, Quehenberger O, Rzhetsky A, Cravatt BF, Mischel PS. Targeting glioblastoma signaling and metabolism with a re-purposed brain-penetrant drug. Cell Rep. 2021 11 02; 37(5):109957.
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