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Tutorial: development of an online risk calculator platform.

Xinge Ji1, Michael W Kattan1

  • 1Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Annals of Translational Medicine
|April 4, 2018
PubMed
Summary
This summary is machine-generated.

Physicians can use online risk calculators to predict clinical events and personalize patient care. This study demonstrates how the R programming language and Shiny package simplify the creation of these valuable clinical decision-making tools.

Keywords:
Online risk calculatorplatformshiny server

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Area of Science:

  • Medical Informatics
  • Biostatistics
  • Clinical Decision Support

Background:

  • Risk calculators are essential online tools for physicians to predict clinical event probability.
  • These tools aid in personalizing medical decision-making for individual patients.
  • Cleveland Clinic offers various prediction models accessible online.

Discussion:

  • This study details the application of the R programming language for developing a clinical risk calculator.
  • It highlights the user-friendly nature of RStudio and the Shiny package in this process.
  • The methodology presented facilitates the creation and deployment of custom risk prediction tools.

Key Insights:

  • R provides a powerful and accessible platform for building clinical risk calculators.
  • The Shiny package enables the development of interactive web applications for these tools.
  • Integrating R into clinical practice can enhance data-driven medical decision-making.

Outlook:

  • Future development could involve expanding the range of clinical conditions addressed by R-based calculators.
  • Further integration of R and Shiny may streamline the creation of predictive models in healthcare.
  • Enhanced accessibility of these tools can improve clinical workflow and patient outcomes.