
Artificial intelligence is becoming more common in healthcare, but for many practices, it still feels overwhelming or out of reach. The reality is that AI does not have to be complex or disruptive to be effective. When used intentionally, it can help practices save time, reduce administrative burden, and improve both team workflows and patient experiences. The most impactful uses of AI today are practical, accessible, and designed to support the work practices are already doing every day.
Dr. Mai is a practicing optometrist with multiple locations across Southern California, and every doctor in his group now uses AI as part of their daily workflows to support both clinical care and practice operations.
Below are simple, actionable ways to start using AI in your practice today.
Many people treat AI like Google. Dr. Mai encourages thinking of it more like a knowledgeable assistant.
Instead of asking simple questions, give AI context and a role.
For example:
The more detail you provide, the better the output.
Pro tip
If you are not sure how to ask the question, ask AI to write the prompt for you. This approach removes guesswork and dramatically improves results.
AI works best as a conversation, not a one-time request.
Start with a broad prompt, then refine it with follow-up instructions. This allows you to:
For example:
This approach produces far more practical output than a single short prompt.
Not all AI tools excel at the same tasks.
Based on Dr. Mai’s experience:
One of the most powerful but underused features of AI is creating custom assistants.
You can build AI personas that consistently think like:
Once created, you can return to that assistant anytime without re-explaining context.
Example use cases
This turns AI into a long-term partner instead of a one-off tool.
Standalone AI tools are helpful, but integrated AI often delivers the biggest time savings because it works inside the systems teams already rely on throughout the day.
In healthcare, this can include AI built directly into practice communication and operations tools, where it can support tasks like handling calls, surfacing patient information, or identifying follow-up opportunities without requiring staff to switch platforms.
Instead of jumping between systems, integrated AI can help teams:
This reduces friction and makes AI feel like a natural part of your day.
AI can also provide valuable insight into patient interactions.
Call analytics and transcription tools can:
Rather than listening to every call manually, teams can focus on trends and improvements that matter most.
AI does not need to be complicated to be impactful.
The most successful practices are using AI to:
Start with one area, master it, then expand. The goal is not to replace people, but to support them so they can focus on what matters most: patient care.
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