Why Clinicians Need to Get AI-Ready Now

Sep 6, 2025

Artificial intelligence (AI) is already reshaping health care.
From automating routine tasks to improving diagnoses and treatment decisions, AI is no longer a future promise—it’s here, and it’s growing fast.

Yet there’s a catch. Many clinicians were never trained on AI.
Medical schools only recently began adding it to their curricula. For most practicing doctors, AI feels like new territory.

This creates a tension: AI’s potential is real, but adoption depends on clinicians learning how to use it strategically.

Where AI Is Making a Difference

Reducing documentation burden
Medical scribes powered by AI can capture visit notes, summarize histories, and even draft patient letters. This saves time and reduces cognitive load, helping prevent burnout.

Improving diagnostic workflows
AI can flag polyps in colonoscopy images, interpret EKGs, and highlight abnormalities in CT scans. By clearing normal results and flagging the rest, it helps specialists focus their time where it matters most.

Supporting clinical decision-making
From surfacing similar cases to suggesting treatment pathways, AI helps clinicians consider possibilities faster and personalize care.

Predicting risk early
AI can identify patients at risk for sepsis, opioid dependency, or medication errors before problems escalate, enabling earlier intervention and safer care.

Accelerating rare disease diagnosis
By analyzing large datasets, AI can help detect rare conditions faster and point to treatments that worked for others with similar profiles.

The Training Gap

Dr. Samir Kendale (Beth Israel Lahey Health) and Dr. Maha Farhat (Mass General Hospital) emphasize that it’s prime time for clinicians to fill this gap.
Those who learn to incorporate AI now will be better positioned to reduce uncertainty in medicine and to use the latest tools to benefit both their patients and their health systems.

The Bottom Line

AI will not replace clinicians.
But it will amplify them.

To make that promise real, doctors must become comfortable working with AI tools—using them to humanize care, reduce workload, and improve patient outcomes.

It’s a call to action:
Get AI-ready, not just for efficiency, but to deliver safer, more effective, and more personal medicine.

How Clara Helps

At Clara, we’ve seen firsthand how documentation takes time away from patients.
Clara transforms doctor–patient conversations into structured, reviewable notes in real time, reducing the manual burden while keeping clinicians in control.

Because AI in medicine should never replace judgment—it should return time to the people who need it most: doctors and their patients.