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[Smartphone application for blood gas interpretation].

Julien Obiols1, Pascale Bardo, Jean-Pierre Garnier

  • 1Laboratoire de biologie médicale, Centre hospitalier de Béziers, France.

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Summary

This study introduces the "Blood Gas" mobile app, aiding healthcare professionals in interpreting blood gas analysis. The app assists in diagnosing complex acid-base disorders and evaluating respiratory status, enhancing e-health in France.

Keywords:
acidosisalkalosisanion gapapplicationbiochemistrybiologyblood gasinterpretationmobilesmartphonestrong ion difference

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Area of Science:

  • Medical Informatics
  • Clinical Chemistry
  • Digital Health

Background:

  • Smartphones are increasingly used by healthcare professionals for business purposes, with over 50% utilizing medical applications.
  • The rise of e-health necessitates innovative digital tools for clinical decision support.

Purpose of the Study:

  • To introduce the "Blood Gas" mobile application designed for interpreting blood gas analysis results.
  • To support the development of e-health initiatives in France through accessible medical technology.

Main Methods:

  • Development of an algorithm based on medical literature for blood gas analysis interpretation.
  • Integration of modules to assess acid-base disorders, respiratory status (PaO2/FiO2 ratio, alveol-arterial gradient), and shunt effects.
  • Inclusion of a specific module for calculating the strong ion difference (SID) using the Stewart model.

Main Results:

  • The application facilitates the interpretation of complex and intricate acid-base disorders by evaluating secondary response effectiveness.
  • It enables the calculation of key respiratory indicators, including the PaO2/FiO2 ratio and alveol-arterial gradient.
  • The app can identify the presence of a shunt effect and detect complex acid-base disorders via the SID calculation.

Conclusions:

  • The "Blood Gas" application serves as a valuable tool for healthcare professionals in interpreting blood gas analysis.
  • It contributes to the advancement of e-health by providing a mobile solution for complex diagnostic challenges.
  • The app enhances clinical decision-making regarding acid-base and respiratory status assessment.