Medical Records Systems, Computerized
"Medical Records Systems, Computerized" 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.
Computer-based systems for input, storage, display, retrieval, and printing of information contained in a patient's medical record.
|Medical Records Systems, Computerized
- Medical Records Systems, Computerized
- Computerized Patient Medical Records
- Automated Medical Records System
- Medical Record System, Automated
- Medical Record Systems, Automated
- Medical Records System, Automated
- Medical Records Systems, Automated
- Automated Medical Records Systems
- Computerized Medical Record System
- Computerized Medical Record Systems
- Computerized Medical Records System
- Medical Record System, Computerized
- Medical Record Systems, Computerized
- Medical Records System, Computerized
- Computerized Medical Records Systems
- Automated Medical Record System
- Automated Medical Record Systems
Below are MeSH descriptors whose meaning is more general than "Medical Records Systems, Computerized".
Below are MeSH descriptors whose meaning is more specific than "Medical Records Systems, Computerized".
This graph shows the total number of publications written about "Medical Records Systems, Computerized" by people in this website by year, and whether "Medical Records Systems, Computerized" 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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Below are the most recent publications written about "Medical Records Systems, Computerized" by people in Profiles.
Avrunin GS, Christov SC, Clarke LA, Conboy HM, Osterweil LJ, Zenati MA. Process Driven Guidance for Complex Surgical Procedures. AMIA Annu Symp Proc. 2018; 2018:175-184.
Polubriaginof F, Salmasian H, Albert DA, Vawdrey DK. Challenges with Collecting Smoking Status in Electronic Health Records. AMIA Annu Symp Proc. 2017; 2017:1392-1400.
Curtis JR, Harrold LR, Asgari MM, Deodhar A, Salman C, Gelfand JM, Wu JJ, Herrinton LJ. Diagnostic Prevalence of Ankylosing Spondylitis Using Computerized Health Care Data, 1996 to 2009: Underrecognition in a US Health Care Setting. Perm J. 2016; 20(4):15-151.
Zeng QT, Fodeh S. Clinical data mining. Comput Biol Med. 2015 Jul; 62:293.
Hao S, Jin B, Shin AY, Zhao Y, Zhu C, Li Z, Hu Z, Fu C, Ji J, Wang Y, Zhao Y, Dai D, Culver DS, Alfreds ST, Rogow T, Stearns F, Sylvester KG, Widen E, Ling XB. Risk prediction of emergency department revisit 30 days post discharge: a prospective study. PLoS One. 2014; 9(11):e112944.
Baccei SJ, Hoimes M, Shin H, Karam AR. Reducing radiology report addenda using provisionally signed status. J Am Coll Radiol. 2015 Jan; 12(1):108-10.
Engelman D, Higgins TL, Talati R, Grimsman J. Maintaining situational awareness in a cardiac intensive care unit. J Thorac Cardiovasc Surg. 2014 Mar; 147(3):1105-6.
Adler RN, Harlan DM. Diabetes: 8 strategies to put into practice. J Fam Pract. 2013 Oct; 62(10):542-7.
Johnson KE, Beaton SJ, Andrade SE, Cheetham TC, Scott PE, Hammad TA, Dashevsky I, Cooper WO, Davis RL, Pawloski PA, Raebel MA, Smith DH, Toh S, Li DK, Haffenreffer K, Dublin S. Methods of linking mothers and infants using health plan data for studies of pregnancy outcomes. Pharmacoepidemiol Drug Saf. 2013 Jul; 22(7):776-82.
Polepalli Ramesh B, Houston T, Brandt C, Fang H, Yu H. Improving patients' electronic health record comprehension with NoteAid. Stud Health Technol Inform. 2013; 192:714-8.