Literature DB >> 29425597

Quality Improvement in Anesthesiology - Leveraging Data and Analytics to Optimize Outcomes.

Elizabeth A Valentine1, Scott A Falk2.   

Abstract

Quality improvement is at the heart of practice of anesthesiology. Objective data are critical for any quality improvement initiative; when possible, a combination of process, outcome, and balancing metrics should be evaluated to gauge the value of an intervention. Quality improvement is an ongoing process; iterative reevaluation of data is required to maintain interventions, ensure continued effectiveness, and continually improve. Dashboards can facilitate rapid analysis of data and drive decision making. Large data sets can be useful to establish benchmarks and compare performance against other providers, practices, or institutions. Audit and feedback strategies are effective in facilitating positive change.
Copyright © 2017 Elsevier Inc. All rights reserved.

Keywords:  Anesthesia quality institute; PDSA cycle; Performance improvement; Quality dashboard; Quality improvement

Mesh:

Year:  2018        PMID: 29425597     DOI: 10.1016/j.anclin.2017.10.006

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


  2 in total

1.  Monitoring Mental Healthcare Services Using Business Analytics.

Authors:  Samy Housbane; Adil Khoubila; Khaoula Ajbal; Zineb Serhier; Mohamed Agoub; Omar Battas; Mohamed Bennani Othmani
Journal:  Healthc Inform Res       Date:  2020-04-30

2.  A Dashboard Prototype for Tracking the Impact of Diabetes on Hospital Readmissions Using a National Administrative Database.

Authors:  Timothy Wong; Ethan Y Brovman; Nikhilesh Rao; Mitchell H Tsai; Richard D Urman
Journal:  J Clin Med Res       Date:  2020-01-06
  2 in total

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