Literature DB >> 21871404

Quality improvement using automated data sources: the anesthesia quality institute.

Richard P Dutton1, Andrew Dukatz.   

Abstract

The Anesthesia Quality Institute has created the National Anesthesia Clinical Outcomes Registry to automatically capture electronic data specific to anesthesia cases. Data come from billing systems, quality management systems, hospital electronic health care records, and anesthesia information management systems. Aggregation of this data will allow for calculation of national and cohort-specific benchmarks for anesthesia outcomes of interest. Provision of this data to anesthesia practitioners through periodic private reports will motivate improvements in the quality of care.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21871404     DOI: 10.1016/j.anclin.2011.05.002

Source DB:  PubMed          Journal:  Anesthesiol Clin        ISSN: 1932-2275


  10 in total

1.  Implementation of an Anesthesia Information Management System in an Ambulatory Surgery Center.

Authors:  Seshadri C Mudumbai
Journal:  J Med Syst       Date:  2015-11-04       Impact factor: 4.460

2.  Variability in anesthetic care for total knee arthroplasty: an analysis from the anesthesia quality institute.

Authors:  Peter M Fleischut; Jonathan M Eskreis-Winkler; Licia K Gaber-Baylis; Gregory P Giambrone; Susan L Faggiani; Richard P Dutton; Stavros G Memtsoudis
Journal:  Am J Med Qual       Date:  2014-03-13       Impact factor: 1.852

3.  Making sense of surgical risk when the data aren't perfect.

Authors:  Meghan B Lane-Fall; Mark D Neuman
Journal:  Anesth Analg       Date:  2014-08       Impact factor: 5.108

4.  Antiemetic Prophylaxis as a Marker of Health Care Disparities in the National Anesthesia Clinical Outcomes Registry.

Authors:  Michael H Andreae; Jonah S Gabry; Ben Goodrich; Robert S White; Charles Hall
Journal:  Anesth Analg       Date:  2018-02       Impact factor: 5.108

5.  Patterns of surgical care and complications in elderly adults.

Authors:  Stacie Deiner; Benjamin Westlake; Richard P Dutton
Journal:  J Am Geriatr Soc       Date:  2014-04-14       Impact factor: 5.562

6.  Perceived barriers to computerised quality documentation during anaesthesia: a survey of anaesthesia staff.

Authors:  Johannes Wacker; Johann Steurer; Tanja Manser; Elke Leisinger; Reto Stocker; Georg Mols
Journal:  BMC Anesthesiol       Date:  2015-01-31       Impact factor: 2.217

7.  The national anesthesia clinical outcomes registry: a sustainable model for the information age?

Authors:  Richard P Dutton
Journal:  EGEMS (Wash DC)       Date:  2014-08-27

8.  Trends in anesthesiology research: a machine learning approach to theme discovery and summarization.

Authors:  Alexander Rusanov; Riccardo Miotto; Chunhua Weng
Journal:  JAMIA Open       Date:  2018-09-04

9.  Postoperative Complications Associated with Moderate Sedation in Endoscopic Procedures Among Patients with Cirrhosis.

Authors:  Yan Wang; Huisheng Xu; Hui Li; Lingyang Chen; Ye Xin; Hongtan Chen; Xiangming Fang; Baoli Cheng
Journal:  Med Sci Monit       Date:  2021-12-23

10.  Complications Associated With Anesthesia Services in Endoscopic Procedures Among Patients With Cirrhosis.

Authors:  Sarah R Lieber; Benjamin J Heller; Christopher W Howard; Robert S Sandler; Seth Crockett; Alfred Sidney Barritt
Journal:  Hepatology       Date:  2020-12       Impact factor: 17.425

  10 in total

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