From algorithms to checklists: The missing layer of oncology decision support

Choosing the right treatment is only one part of delivering excellent cancer care. Clinicians also need to remember the dozens of important tasks that surround each treatment decision. Living Algorithms combine treatment pathways with practical clinical checklists, helping physicians avoid missing the details that matter most.

Every clinician has had this moment

You're about to start treatment, you've selected the right regimen, and the orders are almost complete.

Then a thought crosses your mind: "Is there anything I'm forgetting?"

Maybe you're forgetting:

• A baseline laboratory test

• Pulmonary function testing

• Fertility counseling

• A cardiac evaluation

• Molecular testing

• A supportive medication

These aren't difficult decisions, but they're simply easy to overlook in a busy clinic.

Oncology is more than choosing a regimen

Most decision support tools focus on answering one question: "What treatment should I use?"

But experienced oncologists know that excellent care involves much more. Before treatment begins, clinicians must also think about:

• Baseline testing

• Patient counseling

• Monitoring plans

• Toxicity prevention

• Dose modifications

• Follow-up imaging

• Supportive care
  

These steps are just as important as choosing the treatment itself.

Why experienced clinicians use checklists

In aviation, pilots use checklists before every flight. Not because they don't know how to fly, but because complex systems depend on consistency. Medicine is no different.

Even experienced oncologists can overlook routine tasks when they are:

• Seeing a full clinic

• Covering the hospital

• Managing urgent consults

• Treating multiple disease types
  

The goal of a checklist isn't to replace expertise, it's to support it.

The hidden work of oncology

Consider a patient beginning chemotherapy. The treatment regimen may already be clear, but there are still important questions to answer:

Before treatment

• Have I ordered the necessary baseline tests?

• Does this patient need fertility counseling?

• Are vaccinations up to date?

• Have I reviewed renal and hepatic function?
  

During treatment

• What toxicities require close monitoring?

• Which laboratory tests should be repeated?

• When should imaging be performed?

• What symptoms require urgent evaluation?
  

If problems arise

• When should treatment be held?

• When is dose reduction appropriate?

• What supportive care should be added?
  

These questions are part of routine oncology practice, yet they are often scattered across multiple resources.

From treatment pathways to clinical checklists

Living Algorithms are designed to do more than guide treatment selection. They also help clinicians navigate the practical steps that surround each decision.

For every major treatment, expandable sections can include:

Before treatment

• Baseline laboratory tests

• Organ function assessment

• Molecular testing

• Fertility preservation

• Imaging requirements
  

During treatment

• Dosing schedule

• Monitoring recommendations

• Common toxicities

• Serious adverse events

• Patient counseling
  

Ongoing management

• Response assessment

• Imaging intervals

• Dose modifications

• Treatment transitions
  

Instead of searching multiple references, clinicians can quickly confirm that their plan is complete.

Supporting busy clinics

Modern oncology moves quickly. Many clinicians have only a few minutes to prepare before seeing the next patient. In those moments, they don't need another textbook.

Instead, they need a concise reminder of the practical details that matter most. That's exactly what a good checklist provides.

Better care through consistency

Checklists are not about questioning clinical judgment. They're about making excellent care more consistent. By organizing important clinical tasks around each treatment pathway, Living Algorithms help reduce the chance that essential steps are overlooked.

A natural extension of clinical reasoning

Experienced physicians already think this way. After choosing a treatment, they naturally ask:

• What else should I do?

• What should I monitor?

• What should I discuss with the patient?

• What could go wrong?
  

Living Algorithms make that thought process visible and repeatable.

More than a treatment algorithm

The most valuable clinical tools don't simply recommend therapies. Instead, they help clinicians deliver those therapies safely and effectively.

That means combining:

• Treatment selection

• Practical guidance

• Monitoring

• Patient counseling

• Clinical reminders
  

into a single workflow.

Bottom line

Great oncology care is built on more than choosing the right treatment. It's built on consistently remembering the many details that surround every clinical decision.

By combining treatment pathways with practical clinical checklists, Living Algorithms help clinicians move from knowing what to do to delivering better care with confidence.

Try it with your next patient

The next time you start a new treatment, ask yourself: "If someone reviewed my plan, what important step might they remind me not to miss?"

That's the role of a great clinical checklist.