AI in dental practices: four administrative tasks

The practice starts with wording, not patient records

AI in a dental practice starts best with a small administrative task. Drafting a neutral reminder, making a recall letter easier to understand or preparing a general reply does not require a language model to access patient records. The practice keeps recipient selection, appointments, sending and approval within its existing processes.

The German Dental Association identifies administration and telephone assistance as possible uses while emphasising personal responsibility. Our recommendation is to create one approved template with placeholders first. If suitable templates already exist, improve how they are sent rather than generating the same wording each time. This checklist concerns the organisation of German dental practices and does not replace individual legal or dental advice.

1. Appointment reminders need a rule and a good template

The calendar determines when a reminder is sent. A fixed instruction such as “send this approved template two days before the appointment” does not itself require generative AI. The EU guidelines on the AI definition distinguish simple processing under predefined instructions from systems with additional inference capabilities, meaning the ability to derive outputs. An AI label does not add a new capability to a calendar rule.

Ask AI to draft a neutral template once. The team checks the wording and contact method; only the practice software approved for that purpose adds the date, time and recipient. Our example excludes treatment and diagnosis details. Establish whether the existing software supports this exact workflow rather than relying on a general AI promise.

Privacy question: Is the appropriate consent recorded? For appointment messages sent through external scheduling companies, the German Data Protection Conference requires explicit, demonstrable consent. Outsourcing appointment administration and adding a reminder service are separate matters.

2. The practice decides who receives a recall message

The clinical team sets the recall interval. Here, recall means reminding patients about a planned return visit. AI should neither derive a new interval from a record nor select recipients independently. It can shorten a general invitation; the approved list and permitted communication channel stay in the practice management system, or PMS.

The Baden-Württemberg State Dental Chamber describes recall and appointment reminders as voluntary additional services requiring prior consent and an unsubscribe option. Specify how withdrawal stops the next message. An old exported list must not bring back reminders someone has declined.

Copyable example: “Would you like to arrange another appointment with our practice? Please use [CONTACT METHOD]. If you no longer wish to receive reminders, let us know through [UNSUBSCRIBE METHOD].” This is an editorial draft for practice review, not a clinically determined request to attend. Privacy question: Who maintains consent, communication preferences and opt-outs in one shared place?

3. AI drafts only the covering letter for a cost plan

The cost plan remains a professionally accountable document. For dental prosthetic treatment for patients with German statutory health insurance, the treatment and cost plan records findings, proposed treatment and estimated costs. The KZBV explains the process, including patient information, agreement and review by the health insurer. Freely generated prose does not replace these steps.

Use AI for a general covering template without uploading an actual plan: “Please review the enclosed information about your planned care. If you have questions about the details listed, we will discuss them with you.” The team adds any necessary details within the approved practice workflow and checks the completed message against the authorised document.

Remove automatically added billing codes, amounts, treatment justifications and reimbursement promises. A language model cannot secure an insurer’s approval. Privacy question: Does the writing tool need any patient-specific content at all? For this covering letter, it does not. Our guide to AI drafting and data protection explains the checks required before considering a different workflow that does use personal data.

4. Telephone assistance needs a route to the team

Reception must remain reachable for handover. Telephone assistance is a separate implementation project: it processes free speech and potentially health information. Limit an initial assessment to published opening hours and administrative enquiries. Medical questions, symptoms and unclear cases need a practice-defined route to the appropriate staff.

The German Dental Association calls for accountable use and scrutiny of data processing. A friendly voice proves neither safe call transfer nor working integration. Use invented calls to have the supplier demonstrate how staff take over, how failed transfers become visible and what information is retained. Callers should be told clearly that they are interacting with AI.

Our article on AI telephone assistants for dental practices covers the specific telephone decision. Here, the privacy question is enough: Who receives conversation data, for what purpose and for how long? Starting with templates requires neither call recordings nor transcripts.

Five checks turn a template into an approved workflow

Approval covers one specific task. Copy the following points into your internal working instructions. The example covers a neutral appointment reminder only; it grants no access to real patient information.

Removing names does not automatically anonymise a record. The Data Protection Conference’s AI guidance explicitly addresses personal inputs and special categories of data. Use only placeholders and entirely invented situations here. An unusual treatment, an exact date or a lookup list can still make someone identifiable.

• 1. Instruction: “Write a friendly appointment reminder containing [DATE], [TIME] and [PRACTICE CONTACT]. Include no treatment details or additional promises. Keep every placeholder unchanged.”
• 2. Check the wording: Are the contact method, tone and placeholders correct? Reject invented cancellation charges or claims that an appointment has been automatically confirmed.
• 3. Record approval: The practice manager approves the template version and intended use. Reception uses that exact version.
• 4. Limit sending: Real details are added only inside the approved PMS. The responsible person checks consent, recipient and appointment rule.
• 5. Test failures: Run through an opt-out, a rescheduled appointment and missing contact details using fictional examples. Incorrect messages remain blocked.

The first cost calculation concerns the template, not extra revenue

The work starts before the first message. For a planning example only, assume 15 minutes to draft the template, two people spending ten minutes each reviewing it, and another ten minutes to document it. That totals 45 person-minutes. At an assumed fully loaded internal labour cost of €40 an hour, the cost is €30.

This calculation excludes software fees, implementation, privacy advice and ongoing checks. It is not a measured result and promises no reduction in missed appointments. Additional recurring costs belong in a separate calculation; our guide to costing AI workflows explains how to separate the components.

Our decision rule: Trying a new template is worthwhile when staff currently write inconsistent or confusing messages by hand. If a good template already exists, keep it and address duplicated data entry instead. The calendar does not need a ghostwriter.

Three short answers lead to the first approved message

The next step stays manageable. “Do we need new AI practice software?” Not necessarily for the template-drafting task described here; an approved writing tool used without patient data is enough. Integration requires a separate check of what the specific PMS and supplier actually support.

“May we transfer the entire patient list?” Not as a blanket starting step. The DSK position on external scheduling limits the data to what is necessary. “Who decides on treatment and costs?” The professionally responsible people within the prescribed practice procedure, not the text generator.

Choose an existing neutral template with no patient-specific content, or create a completely fictional example with placeholders. Ask the team to approve one revised version. Then record the owner, version and sending rule. If you would like to discuss the technical workflow with us, bring only a completely fictional example message to an initial consultation.