Evidence In ACTION: RT Toolbox: Optimizing Noninvasive Respiratory Support with Predictive Scores and Evidence

Presenter:

Eric Kriner, BS, RRT, FAARC

Course Description:

RT Toolbox: Optimizing Noninvasive Respiratory Support with Predictive Scores and Evidence reviews the predictive indices respiratory therapists can use to judge whether noninvasive respiratory support is likely to succeed. Presented by Eric Kriner, BS, RRT, FAARC, this activity covers key scores such as HACOR and the ROX index, how to interpret them using current clinical evidence, and how to apply them to bedside decisions.

Learning Objectives:

• Describe key predictive indices (e.g., HACOR, ROX) used in noninvasive respiratory support.
• Interpret predictive scores using current clinical evidence to assess risk of therapy failure.
• Apply predictive tools to guide clinical decisions and optimize patient outcomes.

Learning Objectives

Upon completion of this activity, participants should be able to:

• Describe key predictive indices (e.g., HACOR, ROX) used in noninvasive respiratory support.
• Interpret predictive scores using current clinical evidence to assess risk of therapy failure.
• Apply predictive tools to guide clinical decisions and optimize patient outcomes.