Medical teams can explore draft scheduling messages, administrative templates, and patient explanations in an approved workflow. Begin with fictional examples and have the team review the results.
A clinician checks every clinical detail and the practice approves the workflow before anything is used with patients. A readable draft alone is not evidence of clinical accuracy.
Ways medical practices use AI
Draft after-visit summaries patients actually understand
Give AI the visit notes and it drafts a plain-English summary of what was discussed and what to do next, which the clinician reviews before it goes to the patient portal.
Draft prior authorization requests
Feed AI the clinical justification and it drafts the prior-auth narrative insurers require, cutting the time staff spends translating a chart into insurer-speak.
Draft first-pass responses to patient portal messages
Use fictional examples to evaluate drafts for routine portal questions. A clinician checks the message, clinical context, and appropriate next step before any real response is sent.
Turn billing and insurance denials into patient-facing explanations
Ask AI to organize an explanation from the actual denial notice. Have the billing team verify the reason and available next steps before sharing it.
Draft recall and no-show follow-up campaigns
AI writes personalized reminders for overdue wellness visits, screenings, or missed appointments, so the practice doesn't lose patients to silence.
Draft patient education handouts for common conditions
Give AI the condition and treatment plan, and it drafts a plain-language handout the clinician reviews and personalizes, instead of handing out a generic pamphlet.
Where to start this week
- The summary trial: use a fictional visit and an approved template, then ask a clinician to assess the draft against the supplied facts.
- The prior auth: build a reusable prompt that turns clinical notes into an insurer-ready prior authorization draft.
- The message trial: write fictional examples of routine portal questions and have a clinician review the proposed responses.
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Find my first build ↗Frequently asked questions
What is the best AI tool for medical practices?
Evaluate tools through your practice's privacy and clinical review process. Start with fictional examples. Do not use patient records until the practice has approved the specific tool and workflow.
Is it HIPAA-compliant for medical practices to use AI?
This guide cannot establish whether a particular setup complies with HIPAA. Have your privacy or compliance lead assess the tool, agreements, data handling, and intended use before entering patient information.
Will AI replace doctors?
These examples focus on draft preparation and review. They do not predict how jobs will change. Doctors remain responsible for the work they choose to use and the decisions that follow.