AI in the Medical Practice: Where AI Actually Helps Doctors Today

A significant part of a doctor's working day goes to administration and documentation. That pressure on clinical time was one of the main themes of the DR. INFO and Shape Consulting webinar, "AI for Doctors – Scribes, Assistants and Automation," held on 20 May 2026. This article summarizes the workflows where AI can reduce repetitive work, what good implementation looks like, and why clinical responsibility must remain with physicians and qualified medical teams.

AI telephone assistants: a practical starting point

One of the most practical use cases shown during the session was an AI telephone assistant. The example walked through a typical scenario: a patient calls the practice to request a prescription. The assistant identifies itself as a digital assistant, collects the patient's details and medication request, and routes the structured information to the practice team for approval. Once the prescription has been reviewed and approved by the practice team, the assistant can inform the patient.

Two points matter. First, the assistant makes clear that the patient is speaking with a digital assistant. This kind of transparency is important when AI is used in patient-facing workflows. Second, the practice team stays in control: the AI does not approve prescriptions; it organises and routes the work. The goal is to reduce repetitive calls and give the practice team more time for requests that require human judgment or direct patient support.

AI scribes: capturing what matters clinically

The second use case was ambient AI documentation. A good medical scribe captures clinically relevant content — history, findings, assessment, and plan — and filters everything else, such as small talk or personal asides. That filtering is valuable because the final note should contain what belongs to the medical record, without unnecessary noise.

The session also noted that using a scribe can encourage physicians to verbalize findings more clearly. That helps the patient follow the explanation and produces a cleaner note at the same time.

Drafting, doctor letters and evidence-based medical answers

Beyond telephone support and scribes, the webinar discussed several drafting workflows: hygiene SOPs from a simple prompt, finding reports from short dictations, and structured medical answers based on guidelines and verified sources.

The framing throughout was consistent: AI accelerates the first draft. The physician reads against it before anything leaves the practice. This is also why general-purpose AI tools should be used carefully in clinical contexts. Depending on the tool and settings, data handling, training use and processing location may not be suitable for workflows involving patient information.

Compliance: what to keep in mind

The compliance section centered on a few practical rules:

• Do not enter identifiable patient data — such as names, dates of birth, insurance numbers — into general non-compliant AI tools.
• Check whether a data processing agreement (DPA) is required when vendors process personal or clinical data.
• Ensure team members understand how to use AI safely and appropriately in clinical workflows.
• For tools that qualify as medical devices, appropriate regulatory classification should be considered.
• AI-generated output should always be reviewed by a doctor or qualified team member before they are used in clinical workflows.

The session reiterated an important point: AI can sound medically plausible and still be wrong or incomplete. Human oversight remains essential.

Realistic gains, realistic expectations

The webinar discussed that AI could create meaningful efficiency gains when it is implemented properly, particularly in phone handling, documentation, prescription workflows, doctor letters / discharge letters and patient communication. The size of the gain depends less on the model and more on workflow fit and team adoption. Tools introduced without involving the practice team can create friction. Tools introduced with the team are more likely to save time and become part of daily work.

Where DR. INFO fits

DR. INFO is a medical AI platform built in Europe and designed for doctors and medical teams working in regulated clinical environments. It helps physicians access structured, evidence-based medical answers from trusted sources, while keeping medical teams in control of how the information is reviewed and used. The focus is on making medical information easier to find, understand, and apply in real clinical workflows — without replacing clinical judgment.

FAQ

Does AI in medical practice actually save measurable time?

It can, when the workflow is well chosen. The webinar discussed meaningful gains in documentation, phone handling, and letter preparation when the tool fits the practice setup, and the team is trained to use it.

Is it safe to use general AI tools for patient information?

General AI tools should not be used with identifiable patient data unless the tools, settings, and contractual safeguards are appropriate for clinical use. Names, dates of birth, insurance numbers, and similar details should not be entered into unsafe or non-compliant tools.

Does AI replace clinical decision-making?

No. AI can support doctors by reducing repetitive work and helping with information retrieval, drafting and documentation. Final clinical decisions remain with physicians and qualified medical teams.

Finding the right starting point for AI in your practice

If you or your department is mapping where AI can fit next, the DR. INFO team is happy to walk through the use cases above against your existing workflows and PVS / KIS setup and share what other clinical teams have done first. A short, focused conversation is usually enough to identify the right starting point.