Why patient access in ophthalmology starts before check-in

Patient entering an ophthalmology practice, representing the journey from referral to scheduled care.

Why patient access in ophthalmology starts before check-in

09:19 28 September in AAO, AI and automation, Events, News, Practice Solutions, Referral Portal, SmartFax, SmartScheduler, Sophie, Think with Sophrona

Patient access in ophthalmology starts before they walk through the door

The patient experience doesn’t begin at check-in. It begins with how easily a patient can move from referral to scheduled care. Ahead of AAO 2026, we’re looking at the friction that happens before the visit — and the opportunity ophthalmology practices have to remove it.

What you need to know

Patient access is part of the patient experience.
The experience begins before check-in — with the referral, the first phone call and the ability to get scheduled.

More technology isn’t necessarily the answer.
The opportunity is connecting the systems ophthalmology practices already use and eliminating the manual work between them.

Automation should create more capacity for people.
Removing repetitive work gives staff more time for the patients and situations that actually require human attention.

The front door to your practice has changed


For years, ophthalmology practices have invested heavily in what happens once a patient arrives.

Better technology. Better diagnostics. Better clinical workflows. Better experiences inside the practice.

But increasingly, the patient experience is being won — or lost — much earlier.

Before the exam. Before check-in. Sometimes, before the patient has even spoken to someone at your practice.

It starts with access.

Patients don’t experience healthcare as a collection of internal systems. They don’t know which platform manages referrals, which system controls the schedule, or whether a fax is sitting in someone’s work queue.

They simply know whether getting an appointment was easy.

That distinction matters. Because while practices have spent years optimizing what happens inside their organizations, the path into the practice can still depend on faxed referrals, voicemails, callbacks, manual data entry and staff moving information between systems.

Every additional step creates friction. And every point of friction creates another opportunity for a patient to disappear.

The big idea

A referral isn’t the outcome.

A scheduled patient is.

What happens between referral and scheduled care?


Ophthalmology practices often know how many referrals they receive.

But what happens next?

How many become appointments? How quickly? How many require multiple phone calls? How many patients never respond? How many choose another provider before your team reaches them?

That’s the visibility gap hiding inside many referral workflows.

We’ve previously called it the Referral Black Box: the space between a referring doctor sending a patient and that patient ultimately getting scheduled.

The referral went in. Eventually, a patient may come out the other side.

But everything between those two moments is where practices have an enormous opportunity.

Explore what happens inside the Referral Black Box →

Ask your practice

How easily can you answer these questions?

→ How many referrals became appointments?

→ How long did it take?

→ Where are patients falling out of the process?

→ How much staff time does it take to get them scheduled?

If those answers are difficult to find, the Referral Black Box still exists.

More technology isn’t the goal


Healthcare doesn’t have a shortage of technology.

Ophthalmology practices already operate across EHRs, practice management systems, scheduling tools, fax platforms, phone systems and patient communication platforms.

Adding another system simply for the sake of digitization isn’t progress.

The better question is whether technology can connect the systems and workflows a practice already has — without asking the practice to rebuild itself around the technology.

That changes the role technology plays.

Instead of replacing workflows wholesale, it can help remove the manual steps between them.

A fax can become structured referral information. A referral can become a trackable workflow. A referring provider can schedule an eligible patient directly. A patient can be given the opportunity to self-schedule. A phone call can be handled without immediately requiring a staff member.

And the practice can see what happened from referral to appointment instead of piecing the story together afterward.

Technology begins adapting to the practice — not the other way around.

Read the blog on how AI is adapting to practices — not the other way around →

The shift

FROM adding another system
↓
TO connecting the systems you already have


FROM manually processing every referral
↓
TO managing the exceptions that need attention


FROM chasing patients
↓
TO giving patients more ways to act


FROM “We received the referral.”
↓
TO “We know what happened next.”

The real opportunity is capacity


This isn’t only about convenience.

It’s about capacity.

Every referral that requires someone to read a fax, enter information, make a call, leave a voicemail, wait for a response and try again consumes staff time.

Multiply that workflow across hundreds or thousands of referrals and the operational impact becomes significant.

Removing friction gives practices something increasingly valuable: time.

Time staff can spend on patients who actually need human attention.

Time referral coordinators can spend resolving exceptions instead of processing routine tasks.

Time practices can spend improving the experience rather than administering it.

The human opportunity

Automation shouldn’t remove people from healthcare.

It should remove the repetitive work that keeps people from doing the work only they can do.

What does better patient access look like in ophthalmology?


Better patient access doesn’t necessarily mean replacing the systems an ophthalmology practice already uses. It means making it easier for patients and referring providers to move from referral to scheduled care — while giving staff greater visibility into the process.

That can include online self-scheduling, referring-provider scheduling, automated referral intake, AI-assisted phone workflows and a clearer view of referral status from receipt through appointment.

The goal is not automation for automation’s sake. It is reducing the repetitive work surrounding patient access while making it easier for people to get the care they need.

What does a better patient experience feel like?


It may not require practices to transform overnight.

It may not require another destination layered onto an already complicated technology stack.

It may simply mean connecting the gaps that have existed between systems for years.

Making it easier for a referring provider to send a patient.

Easier for that patient to get an appointment.

Easier for staff to understand where a referral stands.

And easier for leadership to see what’s working — and where patients are falling out of the process.

That may be the bigger opportunity for AI and automation in ophthalmology.

The takeaway

The practices of the future may not look dramatically different.

They may simply feel easier.

Easier for referring providers.
Easier for patients.
Easier for staff.
Easier to understand what’s working.

Continue the conversation at AAO 2026


We’ll be at AAO 2026 in New Orleans talking with ophthalmology leaders about patient access, referrals, scheduling and how AI and automation can reduce friction without forcing practices to rebuild the way they work.

If these are conversations happening inside your practice, we’d love to compare notes.

Going to AAO?

Find some time to connect with our team and talk about what’s working, what isn’t, and where your practice sees the biggest opportunities to improve patient access.

Let’s find time to talk →

Continue exploring

What happens after a referral?
Take a closer look inside the Referral Black Box and the gap between receiving a referral and scheduling a patient.
Explore the Referral Black Box →

AI is adapting to practices — not the other way around
See how AI can work alongside existing practice workflows instead of forcing teams to change the way they work.
Read the article →