Hospital Information Systems
"Hospital Information Systems" 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.
Integrated, computer-assisted systems designed to store, manipulate, and retrieve information concerned with the administrative and clinical aspects of providing medical services within the hospital.
Descriptor ID |
D006751
|
MeSH Number(s) |
L01.313.500.750.300.680.360 N04.452.442.452 N04.452.515.360
|
Concept/Terms |
Hospital Information Systems- Hospital Information Systems
- Information System, Hospital
- Hospital Information System
- Information Systems, Hospital
Multi-Hospital Information Systems- Multi-Hospital Information Systems
- Information System, Multi-Hospital
- Information Systems, Multi-Hospital
- Multi Hospital Information Systems
- Multi-Hospital Information System
- Information Systems, Multihospital
- Multihospital Information Systems
- Information System, Multihospital
- Multihospital Information System
|
Below are MeSH descriptors whose meaning is more general than "Hospital Information Systems".
Below are MeSH descriptors whose meaning is more specific than "Hospital Information Systems".
This graph shows the total number of publications written about "Hospital Information Systems" by people in this website by year, and whether "Hospital Information Systems" was a major or minor topic of these publications.
To see the data from this visualization as text,
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Year | Major Topic | Minor Topic | Total |
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2005 | 1 | 0 | 1 |
2013 | 3 | 0 | 3 |
2014 | 1 | 0 | 1 |
2016 | 1 | 0 | 1 |
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Below are the most recent publications written about "Hospital Information Systems" by people in Profiles.
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Chikarmane SA, Tai R, Meyer JE, Giess CS. Prevalence and Predictive Value of BI-RADS 3, 4, and 5 Lesions Detected on Breast MRI: Correlation with Study Indication. Acad Radiol. 2017 04; 24(4):435-441.
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Rothberg MB, Pekow PS, Priya A, Zilberberg MD, Belforti R, Skiest D, Lagu T, Higgins TL, Lindenauer PK. Using highly detailed administrative data to predict pneumonia mortality. PLoS One. 2014; 9(1):e87382.
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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.
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Mowafi H, Dworkis D, Bisanzo M, Hansoti B, Seidenberg P, Obermeyer Z, Hauswald M, Reynolds TA. Making recording and analysis of chief complaint a priority for global emergency care research in low-income countries. Acad Emerg Med. 2013 Dec; 20(12):1241-5.
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Arous EJ, McDade TP, Smith JK, Ng SC, Sullivan ME, Zottola RJ, Ranauro PJ, Shah SA, Whalen GF, Tseng JF. Electronic medical record: research tool for pancreatic cancer? J Surg Res. 2014 Apr; 187(2):466-70.
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Bakerman M. Path to professional growth. Interviewed by Mark Haglund. Healthc Inform. 2011 Dec; 28(12):42-4.
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Fickenscher K, Bakerman M. Process redesign is key to successful IT deployment. Physician Exec. 2011 May-Jun; 37(3):76-9.
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Fickenscher K, Bakerman M. Leadership and governance for IT projects. Physician Exec. 2011 Jan-Feb; 37(1):72-6.
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Bernstein J, MacCourt DC, Jacob DM, Mehta S. Utilizing information technology to mitigate the handoff risks caused by resident work hour restrictions. Clin Orthop Relat Res. 2010 Oct; 468(10):2627-32.
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Andrade SE, Graham DJ, Staffa JA, Schech SD, Shatin D, La Grenade L, Goodman MJ, Platt R, Gurwitz JH, Chan KA. Health plan administrative databases can efficiently identify serious myopathy and rhabdomyolysis. J Clin Epidemiol. 2005 Feb; 58(2):171-4.