Streamlining Care in Crisis: Rapid Creation and Implementation of a Digital Support Tool for COVID-19

West J Emerg Med. 2020 Aug 17;21(5):1095-1101. doi: 10.5811/westjem.2020.7.48537.

Abstract

The unprecedented COVID-19 pandemic has resulted in rapidly evolving best practices for transmission reduction, diagnosis, and treatment. A regular influx of new information has upended traditionally static hospital protocols, adding additional stress and potential for error to an already overextended system. To help equip frontline emergency clinicians with up-to-date protocols throughout the evolving COVID-19 crisis, our team set out to create a dynamic digital tool that centralized and standardized resources from a broad range of platforms across our hospital. Using a design thinking approach, we rapidly built, tested, and deployed a solution using simple, out-of-the-box web technology that enables clinicians to access the specific information they seek within moments. This platform has been rapidly adopted throughout the emergency department, with up to 70% of clinicians using the digital tool on any given shift and 78.6% of users reporting that they "agree" or "strongly agree" that the platform has affected their management of COVID-19 patients. The tool has also proven easily adaptable, with multiple protocols being updated nearly 20 times over two months without issue. This paper describes our development process, challenges, and results to enable other institutions to replicate this process to ensure consistent, high-quality care for patients as the COVID-19 pandemic continues its unpredictable course.

MeSH terms

  • Attitude of Health Personnel
  • Betacoronavirus*
  • COVID-19
  • Clinical Decision-Making / methods*
  • Clinical Protocols
  • Coronavirus Infections / therapy*
  • Decision Support Systems, Clinical*
  • Decision Trees
  • Efficiency
  • Emergencies
  • Emergency Medical Services / methods*
  • Humans
  • Internet
  • Pandemics
  • Pneumonia, Viral / therapy*
  • Practice Patterns, Nurses' / statistics & numerical data
  • Practice Patterns, Physicians' / statistics & numerical data
  • Program Development
  • SARS-CoV-2
  • San Francisco