ACLS Algorithms

Our ACLS education is designed to provide everyone with the tools to respond to a life-threatening situation confidently. Whether you are a medical professional or just someone seeking new knowledge, receiving this education will prepare you to make life-saving decisions and can empower you to take the necessary action to save someone’s life.

We have designed these ACLS algorithms to overview the advanced interventions necessary for responding to and treating cardiac emergencies in adults.

Adult Suspected Stroke Algorithm

Our Adult Suspected Stroke Algorithm is a step-by-step approach to assessing and treating an ischemic stroke.

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Acute Coronary Syndrome

Our Acute Coronary Syndrome Algorithm is designed to assess and monitor a patient suffering from chest pain and to determine if it is ischemia.

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Adult Tachycardia With Pulse

Our Adult Tachycardia with Pulse Algorithm is designed to assist in recognizing and treating a patient with a heartbeat greater than 150 beats per minute.

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Adult Bradycardia With Pulse

Our Adult Bradycardia with Pulse Algorithm is designed to assist in recognizing and treating patients with a heartbeat less than 50 beats per minute.

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Adult Immediate Post-Cardiac Arrest Care

Our Adult Immediate Post-Cardiac Arrest Care Algorithm is designed to assist individuals in managing post-cardiac arrest care, thus improving patients’ survival rates.

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Adult Cardiac
Arrest

Our Adult Cardiac Arrest Algorithm is extremely important, as it is used to treat more than half of all patients suffering a cardiac arrest.

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ACLS
Electrophysiology

We have included the most common ACLS rhythms for individuals to easily identify and quickly determine treatments for each scenario.

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Algorithms in your pocket

Tired of carrying a set of expandable cards all the time for some algorithms? Flipping through the cards to find the right one wastes valuable time in an emergency situation. MediCode gives you easy access to all the algorithms from the palm of your hands.

The individual algorithms included within this app are: