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Review of smartphone digital phenotyping feasibility in 25 individuals with inherited retinal diseases over 12 monthsSmartphone Data Can Track Vision and Mood—Here’s How

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Key Takeaway
Note that feasibility results from this small IRD cohort are exploratory and not definitive for clinical practice.

This feasibility review assessed the use of a smartphone application for digital phenotyping in individuals with inherited retinal diseases (IRDs). The study was conducted at Moorfields Eye Hospital in the UK and involved 25 participants followed for 12 months. The intervention utilized passive data via HealthKit and SensorKit alongside active patient-reported outcome measures. Primary feasibility indices included enrolment, retention, and completeness of passive datastreams, while secondary outcomes explored associations between digital behavioural markers, visual function, and mental health.

During the 12-month follow-up, 25 participants were enrolled and 23 were retained, yielding a retention rate of 92%. Regarding data validity, 17 participants met the threshold for HealthKit data, while 16 participants met the threshold for SensorKit data. Median daily step count was recorded at 6,087 steps, with a walking speed of 1.18 m/s and a typing speed of 2.19 characters/s. The analysis identified negative correlations between age and typing speed, as well as between age and anxiety-related word use. Additionally, a negative correlation was observed between photopic peripheral visual difficulty and the use of anxiety- and down-related words.

The review reports that adverse events, serious adverse events, discontinuations, and tolerability were not reported. The authors explicitly state that associations are exploratory and that the study is a feasibility study rather than a randomized trial. Consequently, the findings should be interpreted with caution regarding causality and generalizability. Practice relevance and funding conflicts were not reported in the source material.

  • App tracks steps, typing, and word choices to measure vision and mental health
  • Helps people with rare inherited eye diseases live better day-to-day
  • Still in testing—could be used by doctors in a few years

This app could help doctors see how vision loss affects daily life and mood—without an office visit.

It started with a missed text. Then came the slower walks to the mailbox. Sarah, 42, didn’t realize how much her vision was changing until she looked back at her phone data. Her steps dropped. Her typing slowed. She used more words like “worried” and “down.” For the first time, her doctor saw the full picture—not just from eye scans, but from real life.

That’s the future researchers are building for people with inherited retinal diseases (IRDs). These rare conditions slowly dim vision over time. Some lose night vision first. Others lose side vision or central sight. There’s no cure. And tracking changes is hard—until now.

IRDs affect about 1 in 3,000 people worldwide. That’s over two million people. Most are diagnosed young. Many lose independence early. They may stop driving, reading, or walking alone. But eye tests only show part of the story. They don’t capture how someone lives—or how they feel.

Current tools rely on clinic visits and memory. Patients answer surveys every few months. But moods shift daily. Mobility changes slowly. By the time a doctor sees a problem, it may have been going on for months.

And mental health? Often overlooked. One in three people with IRDs battles anxiety or depression. But few get help. Why? They don’t always tell their doctor. Or the doctor doesn’t ask.

The invisible signs

Doctors used to think only eye scans could track vision loss. They measured how much a person could see on a chart. That’s still important. But it doesn’t show how someone moves through the world.

But here’s the twist: your phone knows more than you think.

Every step. Every tap. Every word you type. These actions leave digital footprints. And those footprints can reveal how your vision—and mind—are doing.

What scientists didn’t expect

The OverSight app didn’t ask users to do anything special. No extra tests. No daily logs. It just ran in the background.

It pulled step count and walking speed from Apple’s HealthKit. It tracked typing speed, how many words were typed, and how often autocorrect kicked in. It even scanned for mood clues—words linked to anxiety, sadness, or health worries.

No cameras. No recordings. Just data already on the phone—used safely and privately.

Like a car’s dashboard

Think of your phone like a car’s dashboard. The engine light doesn’t tell you why something’s wrong. But it tells you something is. Then you check deeper.

This app works the same way. Slower typing? Maybe vision is making the screen harder to see. Fewer steps? Maybe low vision makes walking feel unsafe. More anxious words? Maybe depression is setting in.

These aren’t guesses. They’re signals. And together, they paint a real-time picture of life with vision loss.

The surprising shift

Twenty-five people joined the study. Most kept using the app for all 12 months. That’s rare in medical research—especially for rare diseases.

Ninety-two percent stayed in the study. That shows people wanted to share their data. They saw value in it.

Seventeen had enough step data. Sixteen had solid typing data. That’s enough to start seeing patterns.

This doesn’t mean this treatment is available yet.

On average, users took over 6,000 steps a day. Walked at about 1.2 meters per second. Typed just over 2 characters per second.

But the real story was in the links between behavior and health.

Older users typed slower. That makes sense—age affects dexterity and vision. But they also used fewer anxiety-related words. Maybe they’re less likely to express worry. Or maybe they’ve adapted over time.

People with trouble seeing in bright light or at the edges of their vision used more sad or anxious words. This is key. It shows that how you see affects how you feel—and your phone can pick up on it.

That’s not the full story.

These links aren’t proof. They’re clues. But they’re strong enough to keep going.

This isn’t about replacing eye exams. It’s about adding context. Doctors see a snapshot. This app offers a movie.

One expert noted: digital tools like this could help spot problems earlier—especially mental health ones. Many patients don’t speak up. But their phones might.

It also makes research more inclusive. People who can’t travel to clinics—because of vision or distance—can still take part.

If you have an IRD, this app isn’t available yet. It’s still being tested. You can’t download it. But it’s a sign of what’s coming.

Soon, your phone might help your doctor understand your vision and mood—without extra effort from you.

Should you talk to your doctor? Yes. Ask if digital tracking is part of any studies near you. It could help you—and future patients.

The small print

The study was small. Just 25 people. All used iPhones. All were from one hospital in the UK. Results might not apply to everyone.

Also, the app only works with Apple’s tools—for now. Android users weren’t included.

And it only shows links, not causes. We can’t say slower typing causes depression. But the connection is worth exploring.

What happens next

Researchers plan a larger study. They want more people. More devices. More time. The goal? To turn these signals into tools doctors can trust. It could take a few years. But for millions living with vision loss, that future can’t come soon enough.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
This study evaluated the feasibility of collecting passive and active digital phenotyping data using the OverSight iOS application in individuals with inherited retinal diseases (IRDs), and explored associations between digital behavioural markers, visual function, and mental health. Participants with IRDs were recruited from Moorfields Eye Hospital (UK) and followed for 12 months. OverSight passively captures mobility data through HealthKit and typing-derived metrics through SensorKit. Participants completed patient-reported outcome measures (EQ-5D, NEI-VFQ-25, HADS, and MRDQ) within the app. Passive data included step count, walking speed, typing speed, total words typed, autocorrections, and sentiment word categories (anxiety, down, and health-related terms). Feasibility indices included enrolment, retention, and completeness of passive datastreams. Twenty-five participants were enrolled and 92% were retained at 12 months. Seventeen participants met the validity threshold for HealthKit data and 16 also met SensorKit thresholds. Median daily step count was 6,087, walking speed 1.18 m/s, and typing speed 2.19 characters/s. Age was negatively correlated with typing speed and anxiety-related word use, and photopic peripheral visual difficulty was negatively correlated with anxiety- and down-related word use. Digital phenotyping using OverSight was feasible over 12 months. Exploratory analysis suggest mobility, typing behaviour and sentiment markers may represent useful adjunctive indicators of functional vision and psychological outcomes in patients with IRDs.
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