Anesthesia Information Management Systems (AIMS) for the OOOR Setting

Author(s):  
Keith J. Ruskin ◽  
Ori Gottlieb

Anesthesia information management systems (AIMS) offer significant benefits to an anesthesiologist who practices beyond the operating room. AIMS systems have the potential to improve patient care because they deliver a customized, legible anesthesia record while storing the patient’s physiologic data in an easily searchable database. An electronic workflow allows the anesthesiologist to focus on patient care while facilitating tasks such as quality assurance, compliance, research, and billing.

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Michael Halper ◽  
Yehoshua Perl ◽  
Christopher Ochs ◽  
Ling Zheng

Ontologies are important components of health information management systems. As such, the quality of their content is of paramount importance. It has been proven to be practical to develop quality assurance (QA) methodologies based on automated identification of sets of concepts expected to have higher likelihood of errors. Four kinds of such sets (called QA-sets) organized around the themes of complex and uncommonly modeled concepts are introduced. A survey of different methodologies based on these QA-sets and the results of applying them to various ontologies are presented. Overall, following these approaches leads to higher QA yields and better utilization of QA personnel. The formulation of additional QA-set methodologies will further enhance the suite of available ontology QA tools.


1988 ◽  
Vol 69 (3A) ◽  
pp. A499-A499
Author(s):  
B. Schreider ◽  
M. F. Roizen ◽  
L. Lichtor ◽  
R. Roberts ◽  
M. Kearny ◽  
...  

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