Avicrine for Endocrinologists

Avicrine is a diabetes patient-management and engagement platform with two connected sides: a patient app for daily diabetes tracking and AI explanations, and a clinical workspace for the doctors and clinic staff who follow those patients. It is supplied to clinics, not sold directly to patients.

Type 2 diabetes is managed mostly between appointments. Without a shared record, a consultation starts from recall, loose meter logs and photographed lab reports, and patients who drift out of contact are only noticed at the next visit. A digital platform makes that between-visit period visible and organised.

• Shared tracking data — patient-entered glucose (mg/dL or mmol/L), weight, blood pressure, water intake, insulin records and medication adherence appear in your workspace.
• Doctor workspace — monitor your assigned patients, open their trends, and review AI-generated analysis of uploaded lab reports.
• Consultation requests with AI summaries — incoming patient requests arrive with a concise generated summary of the patient's recent data to speed up review and triage.
• Patient health record — a structured, tabbed record bringing tracking, lab reports, medication and consultation history together per patient.
• Patient-side education and AI companion — patients get plain-language explanations, which reduces the volume of basic interpretation questions arriving unstructured.

The workflow is clinic-led: your clinic evaluates Avicrine, is set up with its own workspace, configures which modules are enabled, creates accounts for appropriate patients and issues their credentials. Patients then track their diabetes in the app, and that record flows back to the clinical side. Nothing is visible outside your clinic — all records are scoped by organisation with role-based access for clinic admins, doctors and patients.

The clinic-side detail is on Avicrine for diabetes clinics; the patient view is on Avicrine for patients.

What AI tools can endocrinologists use for diabetes patients?

Avicrine gives endocrinologists AI-generated plain-language summaries of a patient's tracking data and uploaded lab reports, and AI summaries attached to incoming consultation requests. The AI supports review and triage; every clinical decision stays with the clinician.

How can an endocrinologist improve diabetes patient follow-up?

Patient-entered glucose, weight, blood pressure, insulin and medication records arrive in the doctor workspace continuously, so follow-up starts from actual between-visit data rather than recall at the next appointment.

How do patients get access to Avicrine?

The clinic creates each patient account and issues a username and passcode. There is no public patient sign-up, so the clinic controls who is enrolled.

Does Avicrine make clinical decisions?

No. Avicrine records, organises and explains information. It does not diagnose, does not recommend insulin or medication doses, and does not replace clinical judgement.

To see the clinical workspace with sample data, request a reviewed demo.