 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 |
|---|
| 2010 | 2 | 2 | 4 | | 2011 | 3 | 4 | 7 | | 2012 | 4 | 8 | 12 | | 2013 | 5 | 3 | 8 | | 2014 | 7 | 6 | 13 | | 2015 | 7 | 3 | 10 | | 2016 | 8 | 5 | 13 | | 2017 | 14 | 7 | 21 | | 2018 | 11 | 10 | 21 | | 2019 | 13 | 7 | 20 | | 2020 | 1 | 4 | 5 |
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Below are the most recent publications written about "Electronic Health Records" by people in Profiles.
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Cook DJ, Arora VM, Chamberlain M, Anderson S, Peirce L, Erondu A, Ahmed F, Kilaru M, Edstrom E, Gonzalez M, Ridgeway R, Stanly S, LaFond C, Fromme HB, Clardy C, Orlov NM. Improving Hospitalized Children's Sleep by Reducing Excessive Overnight Blood Pressure Monitoring. Pediatrics. 2020 09; 146(3).
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Matthews JB. The Electronic Medical Record Has Ruined It All, Including the Physician-patient Relationship. Ann Surg. 2020 08; 272(2):231-233.
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Lala A, Johnson KW, Januzzi JL, Russak AJ, Paranjpe I, Richter F, Zhao S, Somani S, Van Vleck T, Vaid A, Chaudhry F, De Freitas JK, Fayad ZA, Pinney SP, Levin M, Charney A, Bagiella E, Narula J, Glicksberg BS, Nadkarni G, Mancini DM, Fuster V. Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection. J Am Coll Cardiol. 2020 08 04; 76(5):533-546.
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Pletcher MJ, Fontil V, Carton T, Shaw KM, Smith M, Choi S, Todd J, Chamberlain AM, O'Brien EC, Faulkner M, Maeztu C, Wozniak G, Rakotz M, Shay CM, Cooper-DeHoff RM. The PCORnet Blood Pressure Control Laboratory: A Platform for Surveillance and Efficient Trials. Circ Cardiovasc Qual Outcomes. 2020 03; 13(3):e006115.
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Pyra M, Rusie LK, Baker KK, Baker A, Ridgway J, Schneider J. Correlations of HIV Preexposure Prophylaxis Indications and Uptake, Chicago, Illinois, 2015-2018. Am J Public Health. 2020 03; 110(3):370-377.
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Bhatt PJ, Ali M, Rana M, Patel G, Sullivan T, Murphy J, Pinney S, Anyanwu A, Huprikar S, Taimur S. Infections due to multidrug-resistant organisms following heart transplantation: Epidemiology, microbiology, and outcomes. Transpl Infect Dis. 2020 Feb; 22(1):e13215.
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De Marchis EH, Hessler D, Fichtenberg C, Adler N, Byhoff E, Cohen AJ, Doran KM, Ettinger de Cuba S, Fleegler EW, Lewis CC, Lindau ST, Tung EL, Huebschmann AG, Prather AA, Raven M, Gavin N, Jepson S, Johnson W, Ochoa E, Olson AL, Sandel M, Sheward RS, Gottlieb LM. Part I: A Quantitative Study of Social Risk Screening Acceptability in Patients and Caregivers. Am J Prev Med. 2019 12; 57(6 Suppl 1):S25-S37.
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Ginestra JC, Giannini HM, Schweickert WD, Meadows L, Lynch MJ, Pavan K, Chivers CJ, Draugelis M, Donnelly PJ, Fuchs BD, Umscheid CA. Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock. Crit Care Med. 2019 11; 47(11):1477-1484.
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Giannini HM, Ginestra JC, Chivers C, Draugelis M, Hanish A, Schweickert WD, Fuchs BD, Meadows L, Lynch M, Donnelly PJ, Pavan K, Fishman NO, Hanson CW, Umscheid CA. A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice. Crit Care Med. 2019 11; 47(11):1485-1492.
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Flores EJ, Jue JJ, Giradi G, Schoelles K, Mull NK, Umscheid CA. AHRQ EPC Series on Improving Translation of Evidence: Use of a Clinical Pathway for C. Difficile Treatment to Facilitate the Translation of Research Findings into Practice. Jt Comm J Qual Patient Saf. 2019 12; 45(12):822-828.
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