Priya's Wednesday, two ways

Priya, an optometrist at a two-chair neighborhood practice.

At 8:40 a.m., Priya opens her schedule and sees a full day: a glaucoma follow-up, two dry eye visits, a child with a new glasses prescription, and a post-op check. Before the first patient, she uses ChatGPT to turn her notes about a 67-year-old patient starting latanoprost drops into a plain-language explanation. She asks for a short paragraph and three common questions, then edits the words so they sound like her.

At 10:15, a patient describes burning, grittiness, and screen-related blur. Priya uses Claude to organize the symptoms into a structured history and to suggest safe follow-up questions. She checks the list, adds the patient's contact lens habits, and keeps the clinical assessment herself.

After lunch, she uses Gemini to compare lens options for a patient with high astigmatism who is worried about cost. She asks for a simple table of features and trade-offs, then rewrites it into a two-sentence recommendation for the optical team. Later, she uses ChatGPT to draft a referral summary for an ophthalmologist about a suspected cataract, keeping it brief and clear.

By 5:15, her notes are mostly finished and her recall messages are ready to send. She leaves on time, picks up her daughter from soccer practice, and takes the dog for a longer walk than usual. The time she won back goes to the people and quiet moments outside the clinic.