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A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination.

Shan Nan1,2, Tianhua Tang1, Hongshuo Feng1

  • 1College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China.

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|September 15, 2020
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Summary

A new rapid approach developed computer-interpretable guidelines (CIGs) for COVID-19 diagnosis and treatment. This validated COVID-19 CIG is now publicly available for global use.

Keywords:
CDSSCOVID-19Guideline Definition Languagealgorithmdevelopmentdisseminationelectronic health recordguidelineopenEHR

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Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Pandemic Response

Background:

  • COVID-19 impacts over 200 countries, necessitating efficient diagnosis and treatment.
  • Computer-interpretable guidelines (CIGs) are vital for global adoption of evidence-based medical knowledge.
  • A significant gap exists in internationally shareable CIGs for infectious diseases.

Purpose of the Study:

  • To establish a rapid methodology for developing and disseminating CIGs.
  • To apply this approach to create a shareable CIG for COVID-19.
  • To ensure the CIG is accessible and usable for global healthcare providers.

Main Methods:

  • A 6-step rapid CIG development and dissemination approach was designed and implemented.
  • Guideline Definition Language (GDL) was used to formalize clinical rules from the Chinese COVID-19 guideline.
  • A prototype application was developed to validate the CIG's accuracy using public data.

Main Results:

  • The COVID-19 CIG utilized 27 archetypes and 18 GDL rules for diagnosis and treatment algorithms.
  • The CIG was translated into object data models and Drools rules for broader compatibility.
  • A prototype application successfully validated the CIG's correctness.

Conclusions:

  • The rapid CIG development approach significantly accelerated COVID-19 CIG creation.
  • A validated, computer-interpretable guideline for COVID-19 is now publicly accessible.
  • This work facilitates the global dissemination of standardized COVID-19 care protocols.