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How to use Living Algorithms in 30 seconds (before clinic)

  • May 5
  • 3 min read


Open a Living Algorithm, search for your patient scenario, follow the pathway and expand the key steps for details on dosing, side effects and rationale.


In less than a minute, you can go from question to decision at the point of care.

The reality before every clinic

Before you see a patient, there’s a familiar time pressure. You may have 45-60 minutes to:

  • Review the case

  • Understand prior treatments

  • Decide on next steps

  • Prepare for the conversation

You don't have time to:

  • Open multiple tabs

  • Search through long documents

  • Piece together information

You need something fast.

The goal of Living Algorithms

Living Algorithms are designed for this exact moment.

Not for deep research.

Not for long reading sessions.

But for: quick, decision-ready answers before you walk into the room

A simple way to use Living Algorithms

Here's how most clinicians use it in practice:

Step 1: Search your patient scenario

Start with what you know:

  • Disease type

  • Stage

  • Biomarker

  • Prior therapy

For example:

  • "EGFR-positive lung cancer after progression"

  • "HR+ HER2-negative breast cancer second line"

This gets you to the right pathway immediately.

Step 2: Confirm you're in the right place

At the top of the algorithm, you’ll see:

  • Disease definition

  • Key subtype or biomarker

  • Author and last update

This helps you quickly answer: "does this match my patient?"

Step 3: Follow the pathway

Move through the algorithm step by step. You'll see:

  • First line, second line, and beyond

  • Decision points based on patient factors

  • Clear treatment options

No need to jump between pages.

Step 4: Expand the key steps

Click into any step to see more detail:

  1. Why this treatment is recommended

  2. Key trial data

  3. Side effects to watch for

  4. Dosing and adjustments

This is where you move from overview → action.

Step 5: Make your decision

By this point, you should have:

  • A clear treatment direction

  • The key risks and tradeoffs

  • The practical details you need

Now you're ready for:

  • The patient conversation

  • Orders and documentation

  • Next steps

What makes this faster

Living Algorithms bring everything into one place. Instead of:

  • Guidelines for pathways

  • Another source for dosing

  • Another for toxicity

  • Another for monitoring

You can see it all in a single workflow.

Designed for how clinicians actually think

This approach works because it mirrors real clinical reasoning:

  1. Define the patient

  2. Identify the scenario

  3. Narrow the options

  4. Confirm the details

  5. Act

You're not adapting to the tool, the tool adapts to you.

When to use it

Living Algorithms are most useful when:

  • You're preparing before clinic

  • You're seeing a second or third line case

  • You're less familiar with a disease

  • You want to quickly confirm your plan

What it's not meant for

It's not designed for:

  • Deep literature review

  • Writing academic papers

  • Exhaustive data exploration

It's designed for real decisions, in real time.



From minutes to seconds

Without a structured tool, preparing for a case might involve:

  • Searching guidelines

  • Reviewing studies

  • Checking dosing

  • Confirming side effects

That can take several minutes or more.

With Living Algorithms, the goal is simple: Get to a confident decision in under 30 seconds.



Bottom line

Clinicians don't need more information before clinic, they need faster access to the right information. Living Algorithms are built to help you:

  • Find your scenario quickly

  • Understand your options

  • Act with confidence

All in the time it takes to prepare for your next patient.

Try it before your next consult

Before your next clinic, take one patient scenario and walk through it. See how quickly you can go from:

  • Question → pathway → decision

This is where the difference becomes clear.


 
 

Open Medicine is where leading doctors post Living Algorithms to share their expertise. Instead of static diagrams in PDFs, Living Algorithms are mobile-first, interactive and updated instantly as new clinical evidence emerges.
 

We make expert medical knowledge easy to access so clinicians can offer the best treatment for their patients.

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