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Using Real-time Clinical Decision Support to Improve Performance on Perioperative Quality and Process Measures

Overview
Specialty Anesthesiology
Date 2011 Feb 8
PMID 21295752
Citations 18
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Abstract

Anesthesia information management systems (AIMS) are becoming more commonplace in operating rooms across the world and have the potential to help clinicians measure and improve perioperative quality. However, to realize the full potential of AIMS, clinicians must first understand their capabilities and limitations. This article reviews the literature on AIMS, focusing on areas where AIMS have been shown to have a meaningful impact on quality, safety, and operational efficiency.

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References
1.
Browner W, Baron R, Solkowitz S, Adler L, Gullion D . Physician management of hypercholesterolemia. A randomized trial of continuing medical education. West J Med. 1994; 161(6):572-8. PMC: 1022738. View

2.
Balust J, Egger Halbeis C, Macario A . Prevalence of anaesthesia information management systems in university-affiliated hospitals in Europe. Eur J Anaesthesiol. 2009; 27(2):202-8. DOI: 10.1097/EJA.0b013e3283313fc2. View

3.
Cooper J, Cullen D, Nemeskal R, Hoaglin D, Gevirtz C, Csete M . Effects of information feedback and pulse oximetry on the incidence of anesthesia complications. Anesthesiology. 1987; 67(5):686-94. DOI: 10.1097/00000542-198711000-00012. View

4.
Bloomfield E, Feinglass N . The anesthesia information management system for electronic documentation: what are we waiting for?. J Anesth. 2008; 22(4):404-11. DOI: 10.1007/s00540-008-0643-1. View

5.
Terry K . How the device in your hand can put more money in your pocket. Med Econ. 2002; 78(24):44-6, 49-50. View