AI assistance for glaucoma clinics

Personalized
Glaucoma Care

Patient history. Treatment counselling.
Continued follow-up.

Supporting clinical teams from the first appointment through long-term glaucoma care.

Before, between
and after visits.
Explore the care pathway

01 / Clinical applications

Care, beyond
the consultation.

Glaucoma care continues between visits. So should patient support.

Collect histories, explain treatment instructions, and help patients return for review.

Before the first visit

Patient history

Collect symptoms, previous treatment, and patient concerns. Review a structured history before the consultation.

Starting treatment

Eye-drop counselling

Explain the prescription, dosing schedule, and method of administering drops using the clinician’s instructions.

Between visits

Adherence check-ins

Ask about missed doses, difficulties using drops, and treatment concerns that need the clinical team’s attention.

Scheduled review

Follow-up reminders

Remind patients about their next appointment. Record whether they can attend or need help rescheduling.

Returning to care

Patients lost to follow-up

Contact patients overdue for review, understand barriers to attendance, and help arrange their return to care.

Laser treatment & surgery

Pre- and post-procedure counselling

Explain preparation and post-treatment instructions. Record patient questions for the treating clinician.

02 / Patient pathway

One patient.
Continued care.

From the first call to long-term follow-up.
Select a stage to explore the care pathway.

Pre-appointment assessment

A history ready for review.

The patient receives a call to gather symptoms, ocular and medical history, current medication, and concerns.

For the clinical team

A structured summary, transcript, and call recording in the patient record.

01 / 06Clinician-led care

This is a care pathway overview, not a live patient record.

03 / Clinical oversight

Your patients.
Your clinical judgement.

GlaucoSeva supports communication and documentation. Diagnosis, treatment decisions, and changes to prescriptions remain with the clinician.

AI-generated histories require clinical review before use in patient care.

  1. 01

    Patient-reported history

    Information collected in the patient’s own words.

  2. 02

    Structured documentation

    History organised for review alongside the call record.

  3. 03

    Clinician assessment

    The clinical team interprets the findings and determines care.