The details that matter: what clinicians need after choosing a treatment
- Jun 5
- 3 min read
Updated: Jul 5
Experienced oncologists usually don't need help choosing a treatment. They need help remembering the dozens of important details that surround it. Living Algorithms are designed to ensure clinicians don't miss the critical tests, counseling, monitoring and practical considerations that improve patient care.
Choosing the treatment is only half the job
When people think about oncology decision support, they often imagine choosing between therapies:
Should this patient receive immunotherapy?
Chemotherapy?
Targeted therapy?
Those are important decisions.
But once you've chosen a treatment, an entirely new set of questions begins.
The details that matter
Consider a patient starting BEP chemotherapy for metastatic testicular cancer. Most oncologists know the regimen. But before treatment begins, it's easy to overlook important details such as:
Baseline pulmonary function testing
Fertility preservation and sperm banking
Baseline laboratory studies
Supportive medications
Patient counseling
Monitoring during treatment
None of these decisions changes the chemotherapy regimen, yet every one of them can have a meaningful impact on patient care.
The reality of a busy clinic
Modern oncology moves quickly. Clinicians often manage:
Full clinic schedules
Hospital consults
Administrative work
Tumor boards
Phone calls
Prior authorizations
Even experienced physicians occasionally ask themselves: "Is there anything I'm forgetting?"
This question isn't a sign of uncertainty, it's good clinical practice.
Expertise doesn't eliminate checklists
In aviation, experienced pilots still use pre-flight checklists. Not because they don't know how to fly, but because even experts can overlook routine but important steps under pressure. Medicine is no different.
The goal isn't to replace expertise, the goal is to support it.
What clinicians really need
Many decision support tools focus on helping clinicians choose a treatment. But experienced physicians often need something different.
Once they've selected a regimen, they want to quickly confirm:
Have I ordered the appropriate baseline tests?
Have I discussed important toxicities?
Have I addressed fertility or reproductive health?
Are there important contraindications?
What monitoring will this patient require?
Is there anything I might have overlooked?
These are the questions that arise every day in clinic.
From treatment selection to treatment execution
Clinical care happens in stages.
First: What should I prescribe?
Then: What do I need to do before I prescribe it?
Finally: How do I safely manage this patient over time?
Many clinical tools focus primarily on the first question, but Living Algorithms are designed to support all three.
How Living Algorithms help
Living Algorithms go beyond identifying the appropriate treatment. Each pathway can include practical guidance such as:
Before treatment
Baseline laboratory tests
Imaging
Pulmonary function testing
Cardiac evaluation
Molecular testing
Fertility counseling
During treatment
Laboratory monitoring
Imaging intervals
Common toxicities
Dose modifications
Important drug interactions
Patient counseling
Common side effects
Serious adverse events
Symptoms requiring urgent evaluation
Lifestyle considerations
Expectations during treatment
Clinical pearls
Experienced physicians often develop practical habits that aren't fully captured in guidelines.
Living Algorithms provide an opportunity to share those insights, helping clinicians learn not only what to do, but what experienced colleagues pay attention to in everyday practice.
A practical example
Imagine you've already decided to prescribe a standard chemotherapy regimen. You don't need to review every alternative treatment option again.
Instead, you want a concise checklist that reminds you:
Baseline testing
Monitoring requirements
Common pitfalls
Important counseling points
Dose adjustment considerations
In less than a minute, you can confirm that your treatment plan is complete.
Supporting confidence, not replacing judgment
Living Algorithms are not designed to replace clinical judgment. They are designed to support it.
Experienced oncologists already know how to treat patients. Sometimes they simply need a quick way to confirm that nothing important has been overlooked.
This reassurance can be invaluable.
Better decisions aren't always different decisions
Decision support isn't only about changing treatment. Sometimes it's about reinforcing that you've already made the right decision.
By organizing practical information around the treatment you've selected, Living Algorithms help clinicians move forward with greater confidence and fewer missed details.
Bottom line
Choosing the right therapy is only one part of delivering excellent cancer care. The tests you order, the toxicities you anticipate, the conversations you have, and the details you remember are equally important.
Living Algorithms help clinicians not only decide what to do next, but make sure they don't miss the details that matter most.