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How to write Living Algorithms that actually help clinicians
Create algorithms that are specific, patient-centered and structured around clinical workflows.
Apr 11
Medicine is not a benchmark, and patients are not vignettes
The future of medicine isn't humans competing against machines.
Aug 17
The oncology playbook I wish I had during Fellowship
Every oncologist deserves the kind of playbook that takes years for senior physicians to build.
Jul 20
From recommendation to evidence: Why every treatment decision should link to the trial that changed practice
Get easy access to the clinical trials that established the standard of care.
Jul 5
The best algorithms don't show everything. They show what matters.
The best clinical decision support helps you focus on the information that matters most.
Jun 30
From algorithms to checklists: The missing layer of oncology decision support
Living Algorithms give you practical clinical checklists, so you don't miss important details.
Jun 25
Why choosing the right treatment is only half the decision
Clinicians need quick access to dosing and other guidance to deliver treatments safely and effectively.
Jun 15
The details that matter: what clinicians need after choosing a treatment
Experienced oncologists don't need help choosing a treatment. They need help remembering the details.
Jun 5
AI can summarize evidence, but it can't replace physician expertise
Medicine isn't just the retrieval of information. Real clinical practice lives in grey zones.
May 15
Why mobile-first oncology decision support matters
Mobile-first decision support helps you access guidance wherever you care for patients.
May 9
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