A Novel Clinical Decision Support System for Gastrointestinal Bleeding Risk Stratification in the Critically Ill. Academic Article uri icon

Overview

abstract

  • INTRODUCTION: Acid suppression therapy can reduce the development of stress and medication-related mucosal disease when prescribed appropriately. Suboptimal inpatient prescribing of acid suppression therapy therefore may lead to increased development of gastrointestinal hemorrhage in high-risk populations. The aim of this quality improvement study was to improve appropriate acid suppression therapy in patients admitted to ICUs in an academic medical center. INTERVENTION DEVELOPMENT, IMPLEMENTATION, AND ADAPTATION: An adaptable, multifaceted implementation strategy guided by unit-based root cause analysis was initially developed in a single ICU with a high-risk population. Identifiable targets of intervention, including provider awareness, unstructured rounding protocols, and electronic communication tools, were augmented by the development of an automated alert system. This electronic dashboard risk-stratified patients based on information derived from the electronic medical record (EMR). The dashboard then offered clinical decision support. Use of the dashboard and percentage of appropriate acid suppression therapy prescriptions were tracked over time. RESULTS: Appropriate acid suppression therapy prescribing was improved from 72.9% to 86.0% (p < 0.001). CONCLUSION: Automated technology including an EMR-supported electronic dashboard was the foundation of successful intervention. Considering the deleterious effects of both under- and overprescribing of acid suppression therapy, particularly in high-risk patient populations, this type of technology may lead to enhanced patient outcomes.

publication date

  • March 2, 2019

Research

keywords

  • Antacids
  • Anti-Ulcer Agents
  • Critical Care
  • Decision Support Systems, Clinical
  • Gastrointestinal Hemorrhage
  • Proton Pump Inhibitors

Identity

Scopus Document Identifier

  • 85062173696

Digital Object Identifier (DOI)

  • 10.1016/j.jcjq.2019.01.001

PubMed ID

  • 30833110

Additional Document Info

volume

  • 45

issue

  • 6