Literature DB >> 26262500

Influencing Anesthesia Provider Behavior Using Anesthesia Information Management System Data for Near Real-Time Alerts and Post Hoc Reports.

Richard H Epstein1, Franklin Dexter, Neil Patel.   

Abstract

In this review article, we address issues related to using data from anesthesia information management systems (AIMS) to deliver near real-time alerts via AIMS workstation popups and/or alphanumeric pagers and post hoc reports via e-mail. We focus on reports and alerts for influencing the behavior of anesthesia providers (i.e., anesthesiologists, anesthesia residents, and nurse anesthetists). Multiple studies have shown that anesthesia clinical decision support (CDS) improves adherence to protocols and increases financial performance through facilitation of billing, regulatory, and compliance documentation; however, improved clinical outcomes have not been demonstrated. We inform developers and users of feedback systems about the multitude of concerns to consider during development and implementation of CDS to increase its effectiveness and to mitigate its potentially disruptive aspects. We discuss the timing and modalities used to deliver messages, implications of outlier-only versus individualized feedback, the need to consider possible unintended consequences of such feedback, regulations, sustainability, and portability among systems. We discuss statistical issues related to the appropriate evaluation of CDS efficacy. We provide a systematic review of the published literature (indexed in PubMed) of anesthesia CDS and offer 2 case studies of CDS interventions using AIMS data from our own institution illustrating the salient points. Because of the considerable expense and complexity of maintaining near real-time CDS systems, as compared with providing individual reports via e-mail after the fact, we suggest that if the same goal can be accomplished via delayed reporting versus immediate feedback, the former approach is preferable. Nevertheless, some processes require near real-time alerts to produce the desired improvement. Post hoc e-mail reporting from enterprise-wide electronic health record systems is straightforward and can be accomplished using system-independent pathways (e.g., via built-in e-mail support provided by the relational database management system). However, for some of these enterprise-wide systems, near real-time data access, necessary for CDS that generates concurrent alerts, has been challenging to implement.

Mesh:

Year:  2015        PMID: 26262500     DOI: 10.1213/ANE.0000000000000677

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  7 in total

1.  An Electronic Medical Record-Derived Individualized Performance Metric to Measure Risk-Adjusted Adherence with Perioperative Prophylactic Bundles for Health Care Disparity Research and Implementation Science.

Authors:  Michael H Andreae; Stephan R Maman; Abrahm J Behnam
Journal:  Appl Clin Inform       Date:  2020-07-29       Impact factor: 2.342

2.  Clinical Decision Support Tools Need to Improve More Than Just Process Outcomes.

Authors:  Robert E Freundlich; Jonathan P Wanderer; Jesse M Ehrenfeld
Journal:  Anesthesiology       Date:  2018-09       Impact factor: 7.892

Review 3.  A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.

Authors:  Allan F Simpao; Jonathan M Tan; Arul M Lingappan; Jorge A Gálvez; Sherry E Morgan; Michael A Krall
Journal:  J Clin Monit Comput       Date:  2016-08-16       Impact factor: 2.502

Review 4.  Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery.

Authors:  Robert E Freundlich; Jesse M Ehrenfeld
Journal:  J Cardiothorac Vasc Anesth       Date:  2017-11-04       Impact factor: 2.628

5.  Development and Feasibility of a Real-Time Clinical Decision Support System for Traumatic Brain Injury Anesthesia Care.

Authors:  Taniga Kiatchai; Ashley A Colletti; Vivian H Lyons; Rosemary M Grant; Monica S Vavilala; Bala G Nair
Journal:  Appl Clin Inform       Date:  2017-01-25       Impact factor: 2.342

6.  Development of a Perioperative Medication-Related Clinical Decision Support Tool to Prevent Medication Errors: An Analysis of User Feedback.

Authors:  Karen C Nanji; Pamela M Garabedian; Sofia D Shaikh; Marin E Langlieb; Aziz Boxwala; William J Gordon; David W Bates
Journal:  Appl Clin Inform       Date:  2021-11-24       Impact factor: 2.342

7.  Institution of Monthly Anesthesia Quality Reports Does Not Reduce Postoperative Complications despite Improved Metric Compliance.

Authors:  Patrick J McCormick; Cindy B Yeoh; Margaret Hannum; Kay See Tan; Raquel M Vicario-Feliciano; Meghana Mehta; Gloria Yang; Kaitlin Ervin; Gregory W Fischer; Luis E Tollinche
Journal:  J Med Syst       Date:  2020-09-22       Impact factor: 4.460

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.