Literature DB >> 32085952

What Do We Do After the Pilot Is Done? Implementation of a Hospital Early Warning System at Scale.

Shirley S Paulson, B Alex Dummett, Julia Green, Elizabeth Scruth, Vivian Reyes, Gabriel J Escobar.   

Abstract

BACKGROUND: Adults who deteriorate outside the ICU have high mortality. Most rapid response systems (RRSs) have employed manual detection processes that rapid response teams (RRTs) use to identify patients at risk. This project piloted the use of an automated early warning system (EWS), based on a very large database, that provides RRTs with 12 hours lead time to mount a response. Results from a 2-hospital pilot were encouraging, so leadership decided to deploy the Advance Alert Monitor (AAM) program in 19 more hospitals. CHALLENGE: How can one deploy an RRS using an automated EWS at scale? SOLUTION: EWS displays were removed from frontline clinicians' hospital electronic dashboards, and a Virtual Quality Team (VQT) RN was interposed between the EWS and the RRT. VQT RNs monitor the EWS remotely-when alerts are issued, they conduct a preliminary chart review and contact hospital RRT RNs. VQT and RRT RNs review the cases jointly. The RRT RNs then consult with hospitalists regarding clinical rescue and/or palliative care workflows. Subsequently, VQT RNs monitor patient charts, ensuring adherence to RRS practice standards. To enable this process, the project team developed a governance structure, clinical workflows, palliative care workflows, and documentation standards.
RESULTS: The AAM Program now functions in 21 Kaiser Permanente Northern California hospitals. VQT RNs monitor EWS alerts 24 hours a day, 7 days a week. The AAM Program handles ∼16,000 alerts per year. Its implementation has resulted in standardization of RRT staffing, clinical rescue workflows, and in-hospital palliative care.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32085952     DOI: 10.1016/j.jcjq.2020.01.003

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  6 in total

1.  Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration.

Authors:  Gabriel J Escobar; Vincent X Liu; Alejandro Schuler; Brian Lawson; John D Greene; Patricia Kipnis
Journal:  N Engl J Med       Date:  2020-11-12       Impact factor: 91.245

2.  Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).

Authors:  Santiago Romero-Brufau; Daniel Whitford; Matthew G Johnson; Joel Hickman; Bruce W Morlan; Terry Therneau; James Naessens; Jeanne M Huddleston
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

3.  Detecting Deteriorating Patients in the Hospital: Development and Validation of a Novel Scoring System.

Authors:  Marco A F Pimentel; Oliver C Redfern; James Malycha; Paul Meredith; David Prytherch; Jim Briggs; J Duncan Young; David A Clifton; Lionel Tarassenko; Peter J Watkinson
Journal:  Am J Respir Crit Care Med       Date:  2021-07-01       Impact factor: 21.405

4.  Language models are an effective representation learning technique for electronic health record data.

Authors:  Ethan Steinberg; Ken Jung; Jason A Fries; Conor K Corbin; Stephen R Pfohl; Nigam H Shah
Journal:  J Biomed Inform       Date:  2020-12-05       Impact factor: 6.317

5.  Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital.

Authors:  Han Chang Lim; Jodie A Austin; Anton H van der Vegt; Amir Kamel Rahimi; Oliver J Canfell; Jayden Mifsud; Jason D Pole; Michael A Barras; Tobias Hodgson; Sally Shrapnel; Clair M Sullivan
Journal:  Appl Clin Inform       Date:  2022-04-06       Impact factor: 2.762

6.  From compute to care: Lessons learned from deploying an early warning system into clinical practice.

Authors:  Chloé Pou-Prom; Joshua Murray; Sebnem Kuzulugil; Muhammad Mamdani; Amol A Verma
Journal:  Front Digit Health       Date:  2022-09-05
  6 in total

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