Social Media and Telemedicine in Ophthalmology: Misinformation, Patient Perception, and the Evolving Digital Patient

Abstract

Digital platforms have become a dominant source of ophthalmic health information, shaping how patients understand visual symptoms, form treatment expectations, and make decisions before clinical evaluation occurs. Although increased access to online content has the potential to improve patient engagement and reach underserved populations, ophthalmology remains uniquely vulnerable to misinformation due to its visually driven nature, reliance on image-based interpretation, and limited availability of high-quality, evidence-based, ophthalmic content within high-engagement digital spaces. Across platforms such as Instagram, TikTok, and YouTube, content remains variable; although some institutionally affiliated videos may demonstrate higher educational quality metrics, visually compelling content often spreads widely regardless of accuracy, resulting in inconsistent information quality, patient misconceptions, and challenges during clinical counseling. Despite growing awareness of these issues, their implications for clinical practice and patient communication remain incompletely understood. In this review, we synthesize current evidence on social media-driven patient education, misinformation dynamics, and the expanding role of digital technologies across ophthalmic practice, education and telemedicine and introduces infodemiology as a conceptual tool to characterize information spread and inform targeted clinical and public health interventions. Beyond patient education, digital technologies are reshaping how eye care professionals are trained and how care is delivered, with increasing reliance on simulation-based learning and teleophthalmology models. While these innovations offer meaningful opportunities to improve access and efficiency, they also introduce challenges related to digital and health literacy gaps, diagnostic limitations, privacy concerns, and inequitable access to technology. Effective integration of digital ophthalmology requires aligning technological innovation with clinical rigor, equity, and evidence-based communication to ensure digital transformation strengthens, rather than undermines, high-quality ophthalmic care.

Introduction

With the expansion of digital communication, approximately 70–80% of adults in high-income countries now obtain medical information online, with younger populations demonstrating higher reliance on these platforms due to earlier adoption of mobile technology and greater daily exposure to algorithm-driven content.^1–3 Importantly, patients frequently encounter ophthalmic information through unverified websites, short-form video platforms, and social media feeds, where algorithm visibility often prioritizes engagement over accuracy. Thus, patient perception of medical information is predominantly shaped by “trendy” user-generated content; being expert-vetted is not required.^2–4 This trend has become increasingly prevalent since 2019, driven by increased mobile device utilization, broader access to digital video formats, and shifting patient expectations towards faster, more accessible clinical guidance.⁵

Online ophthalmic information demonstrates wide variability in accuracy, with studies reporting that 20–50% of publicly available content contains incomplete, outdated, or misleading claims, particularly in areas involving acute symptoms, refractive concerns, or surgical procedures.^2,6 Several analyses indicate that patients who arrive at emergency eye clinics frequently reference online material to justify self-diagnoses, although the quality of these sources remains inconsistent across platforms.^1,2 Digital literacy heterogeneity further contributes to misinterpretation and miscomprehension of ophthalmic terminology, depending on education level, age, and prior exposure to medical content.^2,7

Differences in how platforms prioritize content also influence patient perception, as information retrieved through general search tools emphasizes keyword ranking, whereas social media applications rely on engagement-based algorithms that amplify visually stimulating or emotionally charged ophthalmic topics.^3,5,6 Content length and editing also affect patient comprehension. For example, longer educational videos may facilitate more accurate comprehension of disease processes, and some analyses suggest a positive relationship between duration and educational quality, whereas shorter videos may introduce distorted or oversimplified representations of conditions such as myopia progression, cataract formation, or surgical recovery timelines.^4,8 This divergence creates heterogeneity in patient beliefs and may affect clinical decision-making and patient counseling during consultations.

Digital misinformation spreads through a combination of algorithmic reinforcement and predictable user behavior, prioritizing high-engagement posts over evidence-based content.^6,8 Studies focused on ophthalmic digital content during the COVID-19 public health emergency demonstrated that unverified claims circulated faster than peer-reviewed recommendations, whereas content produced by ophthalmologists achieved broader reach only when redistributed through journal-affiliated social media accounts.⁸ These observations are consistent with findings across multiple medical specialties, suggesting that ophthalmology remains similarly vulnerable to rapid misinformation spread in high volume digital ecosystems.

However, recent literature suggests that digital platforms also support dissemination of accurate ophthalmic information, facilitate patient engagement, and enable remote triage when integrated into structured telemedicine systems.^8,9 This transition has created opportunities to examine digital behavior patterns, evaluate the reliability of online ophthalmic content, and determine how eye care professionals may guide patients toward credible resources while navigating emerging technologies such as artificial intelligence (AI)-based tools and algorithm-mediated educational platforms. This review examines the role of social media, misinformation, and digital technologies in ophthalmology, with a focus on patient perception, clinical communication, and healthcare delivery, and introduces infodemiology as an approach to characterize information spread.

Methods

A structured search of PubMed (MEDLINE), Scopus, and Google Scholar was performed in December 2025 to identify publications relevant to digital ophthalmology, social media use, misinformation, telemedicine, and digital health technologies. Search terms included combinations of “ophthalmology,” “social media,” “misinformation,” “telemedicine,” “digital health,” “artificial intelligence,” “patient education,” and “infodemiology.” Articles published in English were included. Priority was given to peer-reviewed studies and reviews most relevant to social-media driven patient behavior, accuracy of online ophthalmic information, digital health technologies, and ophthalmic education and training. Recent literature was emphasized where available, while older studies were retained when foundational to the topic. Public health reports and web-based sources were used selectively for platform usage statistics, health-literacy context, or illustrative examples where peer-reviewed data were limited. Given the heterogeneity of study designs and outcomes, a qualitative synthesis approach was used to identify consistent themes, emerging trends and gaps in literature.

Social Media in Ophthalmology

Platform Usage

As of December 2025, there are 5.66 billion social media users worldwide,¹⁰ accounting for 68.7% of the global population. According to a 2025 survey from the Pew Research center, 84% of Americans use YouTube, 71% use Facebook, 50% use Instagram, 37% use TikTok, 32% use WhatsApp, 26% use Reddit, 25% use Snapchat, and 21% use X (formerly Twitter).^11,12 Adults under 30 years of age are most likely to use these platforms, with younger adults primarily using Instagram, Snapchat, TikTok, and Reddit.

A recent review showed that social media platforms have distinct roles, with platforms such as X and YouTube hosting more educational content, while Instagram and TikTok are primarily entertainment-oriented.⁴ X has historically been an important platform for healthcare and academic communication, although its role has evolved alongside growing use of other platforms.⁵ 30% of the top 100 ophthalmology peer-reviewed publications are active on X, 25% on Facebook, and 6% on Instagram.¹³ Reddit allows for anonymous discussion of topics, organized into specific categories through “subreddits.” Patients use ophthalmology subreddits to discuss ophthalmic diagnoses and learn about others’ experiences, such as the results of strabismus corrective surgeries.¹⁴ Reddit and similar peer-to-peer platforms also provide a space for patients to discuss quality-of-life concerns, treatment experiences, and practical expectations in more relatable format. Although these communities may offer emotional support and experiential insight, the information exchanged is not consistently evidence-based and may shape perceptions differently from clinically validated guidance.

Other sites, such as LinkedIn, are better suited for professional brand building, networking, and sharing research or professional news. With over a billion global users, TikTok has quickly become one of the most utilized sites for younger audiences. Videos on TikTok are typically shorter than 60 seconds, and creators prioritize interactive measures, trends, and catchy music to engage users. YouTube allows users to easily access free videos and is an ideal site for hosting longer educational content, such as lectures or surgery videos. However, the educational quality for YouTube content remains heterogenous and varies by topic, creator background and source affiliation with some analyses suggesting that institutionally affiliated videos score higher on quality metrics than non-scholarly content. Key differences across major digital platforms are summarized (Table 1).

Table 1.

Comparison of Ophthalmic Content Quality Across Major Social Media Platforms

Platform	Common Content Sources	Typical Content Style	Reported Misinformation/ Quality Pattern	Professional vs. Non-Professional Trend	Quality Metrics/ Notes
TikTok	Mixed; substantial non-clinical presence	Short-form, high-engagement video	Higher risk of oversimplification and misinformation due to brevity and algorithmic amplification	Non-professional and non-healthcare creators often generate high visibility; professional content may be less frequent but can still perform well with strong presentation cues	Short duration may limit nuance; engagement does not necessarily reflect accuracy
Instagram	Mixed; clinicians, influencers, commercial accounts	Highly visual posts, reels, before/after images	Accuracy varies; visual appeal may increase reach regardless of evidence quality	Professional cues such as white coats, procedure images, or medical settings may increase engagement	Image-driven format may favor authority cues and simplified messaging
YouTube	Mixed; includes clinicians, institutions, nonprofits, and lay creators	Long-form educational video	Quality is heterogeneous; some videos are highly educational, while others contain incomplete or misleading information	Institutionally affiliated and professionally produced content may demonstrate higher educational quality than non-scholarly sources	DISCERN and GQS commonly used in prior studies to assess educational quality
Reddit	Primarily peer-to-peer/patient-driven	Anonymous discussion threads	Less structured and not consistently evidence-based, but often useful for quality-of-life discussion and experiential support	Non-professional peer discussion dominates; value lies in relatability rather than formal educational quality	Important for understanding patient concerns, expectations, and lived experience
Telemedicine platforms	Clinicians/ structured healthcare systems	Remote consultation, follow-up, triage	Generally higher reliability because interaction occurs within clinical systems	Primarily professional content and guidance	Best considered separately from open social media because of clinical oversight

Abbreviations: GQS, Global Quality Score; DISCERN, quality assessment instrument for consumer health information.

Role of Ophthalmologist “Influencers” Online

An ever-increasing percentage of ophthalmologists utilize social media to educate patients, connect with colleagues, and build community through networking and mentorship. In a recent survey of ophthalmologists, 40% of respondents utilized social media in a professional context.¹⁵ The American Academy of Ophthalmology has an Instagram account with over 69,000 followers, allowing them to disseminate quality information to patients and providers.¹⁶ On TikTok, the hashtag “ophthalmology” has 86 million views and “eyedoctor” has 362 million views.¹⁷ The most popular account within ophthalmology is “Dr. Glaucomflecken,” who currently has over 4 million followers across all social media platforms. His posts integrate humor, medical knowledge, and advice, providing perspective and education to millions.

However, despite the growing number of providers adopting social media as a part of their practice, prior literature has demonstrated that a substantial portion of content is produced by a range of contributors, including non-physician and non-clinical sources.¹⁸ For example, one report found that only 0.8% of posts related to pediatric vision therapy on Instagram were made by physicians.¹⁸ A separate analysis of ophthalmology-related TikTok’s found that 16.9% of videos were created by ophthalmologists, 35.1% by other eye care providers, and 55% by non-healthcare providers. Misinformation was found in 5.4% of videos. Misinformation was more frequently observed in content produced by non-healthcare or non-clinically-trained sources. Engagement patterns suggested that visibility is driven more by platform algorithms than by content accuracy or creator background.⁶ Informational content, which is primarily posted by professionals, is the least engaging and least likely to be interacted with.¹⁸

Thus, there is an opportunity for clinically-trained eye care professionals to increase their presence on social media platforms to combat misinformation^19–21 and provide a professional perspective. There is a positive correlation between mentions of a publication on X and citation numbers, suggesting that proper utilization of social media may lead to greater information dissemination.²² Many providers fear that social media use is unprofessional, but others argue that ophthalmologists should embrace social media since patients turn to it for information.²³ When utilized professionally, social media provides an outlet for physicians to reach a wide audience, learn from experts, and connect with one another.

Importantly, digital ophthalmic content is not produced exclusively by ophthalmologists. Optometrists, orthoptists, and other eye care professionals contribute substantially to online education, often providing accessible and patient-centered perspectives. In some cases, these contributors may demonstrate higher engagement with patient audiences due to communication style, relatability, or platform familiarity. Therefore, content quality is not solely determined by professional designation but rather by accuracy, transparency, and adherence to evidence-based practice. Recognizing the multidisciplinary nature of eye care is essential for developing collaborative strategies to improve digital information quality.

The Digital Shift in Ophthalmology

Changes in Patient Behavior Online

In the current environment of social media dominance, patients overwhelmingly turn to the Internet for health information. One study published in 2019 found that 69.8–81.5% of US adults use the Internet for health or medical information, with about 68.9% using it as their first source.²⁴ In addition to looking up information, patients also share personal stories about their health conditions, connect with others, and ask questions of fellow patients.¹⁸ Thus, the use of digital interactive platforms shapes patients’ opinions and expectations related to care, and rapidly disseminated peer narratives allow for misinformation to spread.

Beyond information seeking, patients also engage with care digitally through online appointment systems, electronic messaging, photo-based triage, and telemedicine platforms, which expanded rapidly during the COVID-19 pandemic,²⁵ as discussed elsewhere in this review.

Digital Literacy and Health Literacy Gaps

According to the US Department of Health and Human Services’ Healthy People 2030 campaign, personal health literacy is

the degree to which individuals have the ability to find, understand, and use information and services to inform health-related decisions and actions for themselves and others.¹²

Thus, one’s health literacy directly impacts their wellbeing; however, the National Assessment of Adult Literacy found that only 12% of adults in the US have a proficient health literacy level.²⁶ Furthermore, recent surveys reveal that those identifying as Asian and Black have significantly lower health literacy levels compared to White individuals, and those identifying as Hispanic or Latino have significantly lower health literacy levels than those identifying as non-Hispanic or Latino.²⁷ Higher measured health literacy is often associated with English proficiency; however, this relationship may reflect structural and assessment biases, as many health literacy tools are developed and validated primarily in English-speaking populations and may not fully capture literacy across diverse linguistic groups. Accordingly, the digital patient experience in non-English-speaking populations remain underrepresented in much of the current literature. Individuals of advanced age or with lower educational levels generally demonstrate lower levels of health literacy.²⁸

Thus, inequities associated with health literacy gaps impact more vulnerable groups. Because literacy barriers impede one’s ability to seek adequate care, adopt recommendations, or effectively communicate about their health problems, these groups utilize less medical services and have worse outcomes. For example, lower health literacy has been associated with more hospitalizations, fewer influenza vaccines and mammograms, poorer medication adherence, worse label and health message interpretation, and importantly, worse overall health status and higher mortality rates.²⁹ In ophthalmology specifically, poor health literacy is associated with greater progression of diabetic retinopathy³⁰ and inadequate utilization of glaucoma medications,³¹ which directly leads to preventable vision loss.

It is important to recognize that digital literacy gaps also exist, and accessing information on the Internet may be challenging for certain groups. For example, age may affect the level of comfort in using phone or video telehealth services and app-based tools.²⁵ Consequently, online advancements might not reach older populations, who carry the greatest burden of eye disease. Many other factors, including education level, previous experience, numeracy, rurality, income level, and overall health literacy are associated with digital literacy.³² Further, though most American adults’ own smartphones, lower income levels may impact one’s access to reliable internet²¹ and ability to access online platforms. Tools such as built-in translation features and AI-assisted educational supports may improve access for some patients, though these benefits remain uneven and depend on how the tools are implemented.

Due to its wide accessibility and ease of use, social media can serve as a free method of health information dissemination, especially to those from marginalized groups or with lower health literacy levels. However, to effectively minimize the health literacy gap using social media, the information provided must be accurate and evidence-based. Thus, practitioners and professional organizations should consider establishing an online presence to provide quality recommendations and combat misinformation. Advancements within social media and other forms of digital ophthalmology must not be created in isolation but rather should be utilized in addition to enhancing existing systems of information dissemination so that patients from every demographic and background benefit.

Misinformation and Infodemiology

Why Ophthalmology is Vulnerable to Misinformation

Ophthalmology demonstrates a heightened vulnerability to misinformation because patients often seek digital explanations for visual symptoms before obtaining clinical care, establishing an early reliance on non-peer-reviewed sources. In a 2021 assessment of quantitative emergency department behavior, more than 60% of patients had searched the Internet for their symptoms prior to arrival, indicating that initial disease impressions were formed outside of the professional setting.¹ Earlier analyses showed a similar pattern, with patients interpreting search engine results as equivalent to medical guidance.³ These behaviors create an environment in which unreliable information can shape expectations before a diagnostic evaluation occurs. Patients are also increasingly turning to AI-generated outputs for medical guidance creating an additional pathway through which inaccurate, oversimplified, or decontextualized ophthalmic information may influence preclinical understanding. Although Internet access increases exposure to ophthalmic topics, a previous baseline assessment of 49 ophthalmology-related websites reported that fewer than 30% met quality standards for accuracy and structure, demonstrating a high baseline prevalence of unreliable online material.

The specialty’s dependence on images further intensifies vulnerability. Ophthalmology is a visually-oriented specialty. Its clinical context naturally lends itself to image-and video-based presentation on digital platforms, which heightens exposure to persuasive but potentially inaccurate visual material. Fundus photographs, surgical clips, eyelid procedures, or magnified anterior segment videos translate exceptionally well to visual platforms, where engagement metrics often determine exposure. A review of ophthalmology-related Instagram posts demonstrated that images with white coats, “before-after” procedure images, or a medical setting backdrop created a perceived sense of authority and generated 2–3x higher engagement than educational posts, even when the creators lacked ophthalmic training.¹⁸ These findings suggest that when clinically trained professionals do participate in digital spaces, presentation style may substantially influence reach and perceived credibility. These posts rely on emotionally resonant visual cues that attract viewers regardless of scientific accuracy. Thus, seemingly simple home remedies, such as eyelash or refractive “tips,” spread quickly because of their perceived reliability. Evidence from misinformation studies reflects a similar trend; nearly 46% of widely circulated misleading COVID-19 posts contained visual elements, compared to 23% of accurate posts.³³ These findings suggest that images spread quickly and may bypass moderation systems that primarily target text-based content,³⁴ a challenge that is compounded by the difficulty many subject matter experts face in translating complex clinical information into formats that perform well on visually driven platforms.

Short-form video platforms intensify these dynamics through algorithmic amplification. Structured evaluations of ophthalmology content on TikTok found that more than 50% of high-visibility videos contained medically inaccurate information, and nearly 70% of total views were directed toward videos curated by non-physicians.⁶ These videos often promote simplified refractive “cures,” misleading myopia-control narratives, or anecdotal descriptions of LASIK and cataract procedures. Because engagement metrics govern visibility, these narratives spread quickly before patients encounter evidence-based explanations.

High patient interest in symptom-driven concerns also contributes to misinformation exposure. Individuals searching online for self-directed solutions frequently encounter unregulated claims, particularly in areas such as refractive surgery, myopia control, and floater treatments. Analyses of public search trends show 30–80% yearly increases in queries related to LASIK complications, “myopia reversal,”³⁵ and other vision-related concerns, reflecting heightened public exposure to inexpert information. Reports across optometry and ophthalmology platforms describe persistent promotion of unsupported eye-drop regimens, refractive exercises, and unproven cures for strabismus, myopia, or glaucoma.³⁶ Content analysis shows that misleading posts often outperform accurate information, with strabismus related misinformation generating 10x more shares than medically accurate educational posts.^36,37 These narratives may delay appropriate evaluation or create unrealistic expectations regarding treatment outcomes.

Inaccurate image interpretation adds another layer of complexity to these issues. Studies show that variations in illumination, magnification, and imaging angle can produce 12–20% misclassification rates even among trained clinicians using standardized ophthalmic images.³⁸ If diagnostic uncertainty occurs at the expert level, patients – who lack clinical context, pattern-recognition experience, and an understanding of normal anatomic variation – are even more susceptible to misinterpreting images to appear credible, reinforcing misinformation when patients rely on images circulating through social media or search algorithms.

Across platforms, an underlying driver of misinformation spread appears to be a structural imbalance between patient demand and expert participation. Recent reviews across different platforms show that ophthalmologists comprise fewer than 10–15% of active content contributors,⁵ allowing non-peer reviewed narratives to dominate search results and shape expectations before clinical encounters. This imbalance creates space for misinformation to circulate widely, ultimately affecting how individuals understand symptoms, assess risk, and make decisions about eye care. Importantly, once these initial impressions are formed, they can be difficult to correct. Cognitive research on the Continued Influence Effect of Misinformation (CIEM) demonstrates that people often continue to rely on misinformation even after it has been retracted or replaced with accurate explanations, because the original narrative is more readily integrated and remembered.³⁹ This persistence helps explain why early digital exposure to misleading ophthalmic content can shape expectations long before clinical evaluation, and why subsequent counseling may not fully undo the influence of an initial, incorrect message.

Case Examples

Misinformation often emerges through highly visual or anecdotal posts that oversimplify complex concepts and promote treatments lacking scientific support. Across platforms, misinformation often appears as symptom myths, treatment misconceptions, and misleading portrayals of procedures (Table 2).

Table 2.

Representative Misinformation Themes Across Digital Ophthalmology Platforms

Platform	Example Misinformation Theme	Why is it Misleading	Potential Clinical Consequence	Representative Topic/Reference
TikTok	Exaggerated blue-light danger and routine need for blue-light filtering lenses	Overstates the strength of evidence supporting universal use	Unnecessary concern and misinformed purchasing behavior	Blue-light content6
TikTok	Eye exercises or over-the-counter remedies presented as effective myopia control	Diverts attention from evidence-based interventions such as low-dose atropine or specialized contact lenses	Delay in appropriate myopia management	Myopia-related content40
TikTok	Claims that glaucoma can be reversed through “natural cures”	Glaucoma requires timely medical management and is not reversed through unsupported remedies	Delayed treatment and risk of irreversible vision loss	Glaucoma-related misinformation41
YouTube	Incomplete or misleading information about retinopathy or prematurity	May inaccurately describe disease mechanisms, screening, or treatment	Confusion among caregivers of medically vulnerable patients	ROP-related videos42
YouTube	Home remedies of inaccurate description of uveitis	Many minimize the need for prompt medical evaluation	Delayed specialist assessment and treatment	Uveitis-related content43
YouTube	Selective or misleading portrayal of cataract surgery outcomes	Overemphasizes favorable outcomes or promotes unverified procedures	Unrealistic expectations regarding risk, recovery, and results	Cataract-related content42

Notes: Representative examples are drawn from cited studies discussed in the text and are intended to illustrate common misinformation patterns rather than provide an exhaustive list.

Social media platforms have attempted to limit the spread of inaccurate information by implementing policies that remove or label posts contradicting established medical guidance. These policies target content that promote false claims about diagnostic methods, symptom interpretation, transmission mechanisms, or unproven cures.⁴⁰ Despite these measures, misleading ophthalmic content continues to circulate because visually-engaging posts often spread more rapidly than accurate updates, and moderation systems struggle to keep pace with the volume of newly-generated, often inaccurate material.⁴¹ An emerging concern is that large language models (LLMs) are frequently trained on internet-scale datasets that include social media posts, public websites, and user-generated content; as a result, circulating misinformation can become embedded in training data and may later be reproduced or amplified by AI systems. This creates a feedback loop in which inaccurate narratives online can indirectly inform, bias, or distort AI-generated health information unless robust guardrails and expert-curated datasets are used.⁴²

Together, these examples illustrate how inaccurate information across multiple platforms shapes patient expectations before clinical encounters occur. These messages can distort patients’ understanding of their symptoms, available treatments, and when to seek professional evaluation.

Infodemiology as a Tool

Beyond describing these patterns, it is equally important to consider how misinformation can be addressed within digital ophthalmology. Infodemiology, the study of how information spreads through digital environments, has emerged as an analytic lens for understanding and responding to misinformation within medicine (Figure 1). By examining patterns in online search patterns, social media engagement, and the digital dissemination of both accurate and misleading content, infodemiology functions similarly to traditional epidemiology, allowing researchers to track information “outbreaks” and identify topics that require prompt clinical clarification.⁴³

Figure 1.

Infodemiology surveillance workflow in digital ophthalmology. Blue boxes represent stages of digital information flow, and the feedback loop indicates ongoing monitoring of misinformation recurrence. Digital ophthalmic information is generated by a range of sources and amplified by platform algorithms that prioritize visibility and engagement. Monitoring search behavior, social media activity, and emerging misinformation themes may help clinicians and public health stakeholders identify problematic trends early and respond with targeted, evidence-based communication.

One of the primary applications is real-time surveillance. Web-based search data and social media monitoring can detect sudden increases in public interest related to specific conditions, procedures, and myths–for example, when a viral post triggers a measurable surge in online searches about an eye-related topic. These signals help clinicians recognize when misinformation is beginning to circulate and guide efforts to intervene before inaccurate narratives gain traction. This approach supports already established public health early warning systems, enabling early response to emerging concerns such as exaggerated claims about blue-light exposure or unfounded fears surrounding LASIK surgery.^8,43

Epidemiological analysis also supports targeted communication strategies. By identifying which misconceptions are spreading and which populations are engaging with them, ophthalmologists and public health professions can tailor educational campaigns to address specific knowledge gaps. This may include clarifying the limitation of blue light filtering lenses, providing balanced information about refractive surgery risks, or countering myths related to myopia control. These targeted responses allow clinicians to prioritize accuracy while ensuring that the information they provide aligns with patient concerns.⁴³

Another benefit of this approach is to improve understanding of how patients search for health information. Search behavior on digital platforms often reflects when patients become most concerned about conditions such as dry eye, cataracts, or floaters, suggesting opportunities to provide timely, accessible educational resources. Insights from these patterns help clinicians anticipate questions, address misconceptions proactively, and shape prevention focused communication before misinformation becomes deeply rooted.

Epidemiological studies also provide guidance on how to create content that resonates with online audiences. Research examining ophthalmic engagement patterns show that educational posts authored by physicians often perform poorly compared to visually-engaging or commercial material, despite containing more reliable information.¹⁸ These findings suggest that accuracy alone may be insufficient to counteract false or misleading information; instead, clinicians may need to adopt strategies that pair evidence-based content with formats that match the visual and emotional appeal of high performing non expert posts.¹⁸

Organizations such as the Refractive Surgery Council have already begun applying these insights to strengthen public outreach and reinforce trust in clinically-validated recommendations. These observations also correspond with broader findings that ophthalmologist participation on digital platforms remains limited, reinforcing the need for data-driven strategies that support more effective clinician engagement.

Overall, infodemiology provides a structured, data-driven approach for navigating online information surrounding eye health. By combining real-time monitoring, target communication, and strategic content creation, ophthalmologists can more effectively address misinformation, reinforce public trust, and guide patients toward reliable resources as they make informed choices about their eye health.

Digital Ophthalmology in Medical Education & Training

Medical Training

Surgical Simulation and Virtual Reality Training

Over the past decade, ophthalmology training programs have increasingly incorporated simulation based and virtual reality (VR) platforms into residency and fellowship curricula to supplement traditional didactic instruction and live surgical training. These technologies provide a controlled, reproducible environment for residents to refine surgical and diagnostic skills without patient risk, as well as enable repeated practice and accelerate competence acquisition.

A recent systematic review and meta-analysis of studies comparing trainees who used the Eyesi Surgical Simulator (VRmagic, Mannheim, Germany) versus those who underwent standard technical-skills training demonstrated a significant improvement in technical skill acquisition among simulator users (standardized mean difference [SMD] = 2.02; 95% CI 1.47–2.57; p < 0.001) and a reduction in post training technical errors (odds ratio = 0.43; 95% CI 0.20–0.90; p = 0.03).⁴⁴ While the certainty of evidence was graded as low to very low (owing to study heterogeneity and small sample sizes), the magnitude of effect supports the value of simulation in skill development.

Moreover, in a prospective pilot study, residents completing a structured cataract surgery training curriculum using Eyesi reported marked increases in self-efficacy and motivation for real-life surgery following simulation training.⁴⁵ These subjective improvements are clinically meaningful – enhanced confidence may translate into better performance and fewer errors when transitioning to live surgery.

Broader analyses of simulation in ophthalmic training — encompassing VR, wet-lab, dry-lab, and e learning models — suggest that simulation can reduce training costs, improve accessibility, provide objective outcome measurement, and enhance patient safety by reducing the number of live cases required for initial skills building.⁴⁶

Additionally, with the emergence of immersive technologies including VR and augmented reality (AR), the potential scope of simulation is expanding. A 2025 review described VR/AR modalities capable of simulating surgical procedures, anatomical orientations, and even patient education modules, offering new avenues for both trainee education and patient engagement.⁴⁷

Given these findings, integrating simulation-based training into ophthalmology residency or fellowship programs seems justified and beneficial, especially for microsurgical subspecialties (eg., vitreoretinal surgery). Simulation offers a structured and risk-free environment for technical training, which may improve learning curves and operative safety.

Regardless, simulation cannot fully replace supervised intraoperative experience. The low certainty of evidence and lack of long-term studies linking simulator training to actual patient outcomes underscores the need for more rigorous studies. Furthermore, not all residency programs may have the resources to procure high end simulators. In such cases, hybrid curriculums combining simulation, wet lab, and in-person training may be a more feasible option.

Online Academic Communities and Digital Education Platforms

Beyond surgical simulation, digital ophthalmology education increasingly involves e learning platforms, remote didactics, and online academic communities that can transcend institutional boundaries. A recent scoping review identified VR/AR simulation, e-learning modules, and remote virtual labs as emerging components of ophthalmic education infrastructure.⁴⁸

These resources enable flexible, asynchronous learning – beneficial for trainees in programs with limited surgical volume or resource constraints. For instance, simulation-based labs have been used to teach anterior-segment anatomy, angle evaluation, and diagnostic reasoning in glaucoma, with trainees reporting improved understanding and diagnostic confidence.⁴⁹

Moreover, digital curricula can facilitate inter-institutional collaboration, standardize training content, and reduce disparities in educational quality across programs. This democratization of access is especially important given global variability in training resources. By supplementing traditional surgical and clinic-based teaching, digital platforms may help ensure consistent foundational training regardless of institutional case volume or geographic location.

However, and as noted in prior literature, rigorous outcome data evaluating long-term knowledge of retention, diagnostic accuracy, and patient-care impact remain limited. There is a need for multi-center studies assessing whether digital education platforms translate into improved clinical performance and improved patient outcomes.

Tele-Ophthalmology Training and Remote Clinical Exposure

An additional and increasingly relevant dimension of “digital ophthalmology training” involves preparing residents and fellows for telemedicine-based eye care. A survey of U.S. ophthalmology residency programs found growing interest in formal teleophthalmology curricula, especially following the COVID-19 pandemic, when remote care became more commonplace. In one such program, at Massachusetts Eye and Ear, structured teleophthalmology training was implemented, encompassing remote retinal imaging interpretation, telemedicine consultations, and virtual follow-up care. Authors argued this training is critical to prepare future ophthalmologists for hybrid care models.⁵⁰

Incorporating teleophthalmology training can deepen trainee competence in remote diagnostics, image-based grading, and virtual patient management — skills increasingly relevant in modern ophthalmology given expanding tele health adoption.

Telemedicine in Ophthalmology

Recent years have seen the rapid expansion and adoption of telemedicine across medical specialties, a shift largely accelerated by the COVID-19 pandemic⁵¹ and resultant lockdowns. A large survey of US-based neuro-ophthalmologists found that only 3.9% used video visits prior to the pandemic, compared to 68.3% during the pandemic.⁵² Even after clinics re-opened for in-person visits, many practices continue to offer virtual appointments. Physician-reported benefits of telehealth include increased efficiency for both patients and providers, as well as better patient-provider relationships.⁵²

Furthermore, telemedicine has substantial potential to improve equity in ophthalmic services. By removing geographic, transportation, and cost barriers, teleophthalmology can extend specialty of eye care to rural, remote, and/or socioeconomically disadvantaged communities that historically have had limited access. In fact, several cost-effectiveness reviews note that tele screening yields the greatest benefit when targeted at high-prevalence and underserved populations.⁵³ This is particularly advantageous with regards to accessing sub-specialist expertise. For instance, there are less than seven hundred practicing neuro-ophthalmologists in the United States, leaving thousands of counties and three states (Maine, South Dakota, and Wyoming) lacking a local provider.^54,55 Yet, thanks to video visits and other mobile applications, patients from these regions may still receive neuro-ophthalmologic evaluation and management without facing the time and financial burdens needed for travel.⁵¹

Those with access to local ophthalmic services may benefit from a “hybrid” approach, in which testing is done at an outside facility and digitally sent to a physician for interpretation and discussion via telehealth.⁵⁴ Such models can help bridge gaps in sub-specialist care: for instance, a patient can have fundus photos, OCT, and visual field testing completed by a nearby ophthalmologist transferred to a neuro-ophthalmologist hundreds of miles away.

Patient acceptance is critical for successful teleophthalmology deployment. Participants across numerous studies have consistently reported positive experiences with teleophthalmology, citing factors such as reduced time and expense.^56,57 Similarly, telemedicine has demonstrated great utility and patient reception for ophthalmologic screening. A recent diabetic retinopathy (DR) screening program demonstrated high patient satisfaction and willingness to participate in repeat telemedicine screening, particularly among those with limited access to conventional eye care.⁵⁸ Studies show that convenience, reduced travel burden, and lower cost contribute to favorable attitudes toward tele screening, especially in underserved or rural populations.⁵⁹ As imaging technology improves (non-mydriatic cameras, portable fundus photography, smartphone-based fundus imaging) and deep learning–assisted classification becomes more accurate and affordable, teleophthalmology screening programs can further expand reach, improve efficiency, and reduce reliance on in-person visits, aligning with equitable vision care goals.⁶⁰

Economic evaluations reinforce this: a 2023 systematic review and meta-analysis pooling 33 diagnostic accuracy studies and 28 cost-effectiveness studies concluded that tele screening using non-mydriatic fundus photography is moderately sensitive and highly specific for DR detection, and is cost-effective when applied broadly, especially in underserved settings.⁵⁸ This finding supports teleophthalmology as a scalable, cost-conscious, effective public health intervention with potential to significantly reduce DR related vision loss, especially in populations with barriers to access, limited ophthalmologist availability, or high disease burden. Moreover, by providing an efficient triage mechanism, teleophthalmology enables early detection of diseases (DR, macular degeneration, glaucoma) and timely referral for patients requiring further evaluation, helping mitigate the backlog of untreated eye disease and reducing preventable vision loss at the population level.

As demand continues to grow and provider access remains limited, telemedicine and broader digital ophthalmology tools serve an increasingly crucial role in alleviating disparities in care access and health outcomes. Given the many benefits for patients and providers alike, teleophthalmology will doubtless remain a fixture in the field for years to come.

Challenges in the Digital Era

Despite these advantages, drawbacks to virtual healthcare persist. Neuro-ophthalmologists have identified several disadvantages to telehealth video visits, including data quality (cited by 94.4% of survey respondents), reimbursement (45.1%), liability (42.3%), implementation (36.6%), provider dissatisfaction (19.7%), privacy/cybersecurity concerns (6.3%), institutional support (5.6%), and patient technology barriers (4.2%).⁵² Some specific concerns reported by respondents addressed technical troubles, challenges with integrating telemedicine into the clinic flow, and increased difficulty engaging with patients as compared to face-to-face communication. Furthermore, the increased digitization of patient management can increase electronic health record (EMR) burden for physicians, which has been linked to higher rates of burnout.^61,62

Across multiple studies, the most salient worry among patients and physicians alike is the limitations to physical examination imposed by digital interaction. Given the inability to perform slit lamp and other inspections in real-time, video appointments are generally most useful when centered on conditions for which diagnosis and management is principally dependent upon history, external examination, or ancillary visual testing/ocular imaging.^52,54,63 For instance, in one clinical context, providers reported the most success when addressing concerns such as migraine with aura and MRI results. Telemedicine, when combined with digitally-available test results, has also been shown to be accurate and effective in reducing costs and wait times for screening and monitoring diabetic retinopathy, retinopathy of prematurity, and glaucoma.^52,54,56,64

Furthermore, telemedicine has proven useful for emergent concerns by offering a reliable means to triage ophthalmologic problems;⁵⁶ for instance, a patient may be advised to present to the nearest emergency department based on clear external pathology or a description of symptoms. In contrast, a survey of neuro-ophthalmologists found that video visits were felt to be least helpful for optic atrophy, nonarteritic anterior ischemic optic neuropathy, possible arteritic ischemic optic neuropathy, and other conditions necessitating careful ophthalmologic examination.⁵²

As much as telemedicine has the potential to broaden healthcare access for underserved populations, it also carries the risk of sustaining or exacerbating disparities. Factors such as lack of reliable broadband internet and/or other technologies may further limit the quality of data providers are able to gather from patients.⁵⁴ Furthermore, many of the same patients who cannot consistently present to clinics in-person are also unable to obtain the ancillary testing necessary for proper assessment. While some methods of in-home testing are readily available – such as printable Amsler grids and smartphone applications for measuring visual acuity and color vision – patients may struggle to comprehend or follow instructions.⁵⁶ When more advanced testing is required, other tools, such as home OCT devices, are currently being developed and demonstrating promising results; however, these have yet to be widely-implemented.^54,65 In other cases, the primary barrier might be cost: for example, though home tonometry devices have shown utility for glaucoma monitoring, patients without insurance reimbursement could have to pay hundreds or thousands of dollars out-of-pocket for use.^66–68 For now, successful hybrid care models largely depend upon the patient’s ability to travel or have access to services within their community.

Another growing concern with digital healthcare is patient confidentiality. Smartphone apps can share sensitive data unbeknownst to the user, potentially raising privacy issues as patients use their personal devices to conduct home testing and virtual correspondence with physicians.⁵⁶ Technology infrastructure that is not regularly updated can introduce further safety concerns.

Where telemedical data collection, patient consent, and confidentiality are involved, the legal landscape remains variable. In the United States, there is no single federal policy for informed consent: rather, states may set their own regulations. Similarly, policies regarding licensing requirements and prohibitions for out-of-state practitioners are state-dependent, though federal legislation has lifted some restrictions in recent years. In addition to checking their state licensing rules, physicians interested in providing telehealth should ensure their malpractice insurance policy encompasses telemedicine, as coverage varies by insurer.⁶⁹

Though telemedicine offers numerous benefits, particularly for patients in rural or low access settings, it is far from a panacea for the multitude of disparities that persist across healthcare fields. Despite expansion during the COVID-19 era, national data show that older adults, low-income households, and individuals with limited digital literacy remain among the least likely to use telehealth services, contributing to persistent inequities in access.³⁷ As digital platforms expand, future progress will depend on addressing persistent gaps in access, digital literacy, diagnostic reliability, and the uneven distribution of emerging technologies across patient populations. Strengthening these systems requires a coordinated approach that integrates technological innovation with policies designed to promote equitable and evidence-based care.

Future Directions

Emerging Technologies in Digital Ophthalmology

A key priority for the future development of digital ophthalmology involves improving the technical reliability and clinical integration of virtual ophthalmic workflows. Current teleophthalmology models rely on patient-generated images, variable device quality, and inconsistent network connectivity, all of which create limitations in diagnostic accuracy and reinforce disparities. Future systems may incorporate automated image quality evaluation, or adaptive artificial intelligence (AI)-driven tools capable of recommending in-person evaluations when digital examinations are insufficient.^70,71 These refinements would support safer hybrid care models and improve continuity of care for conditions such as diabetic retinopathy, glaucoma, and postoperative complications — areas where early detection and timely referral alter outcomes.

The incorporation of emerging technologies will play a central role in shaping the future of digital ophthalmology. Artificial intelligence has already demonstrated strong performance across multiple conditions, with diabetic retinopathy reaching sensitivities and specificities exceeding 90%, and deep-learning glaucoma systems reporting area under the curve (AUC) values of 0.94–0.98, a range that often approaches the performance of expert clinicians.^70,71 Despite these gains, there remain concerns regarding algorithmic bias, regulatory oversight, and requirements for cross-platform validation. Similar considerations apply to smartphone- based imaging systems, which can expand access but may widen disparities if patients cannot reliably use these tools or lack access to compatible devices. In one multi-center study, 93% of anterior-segment and 85% of posterior-segment smartphone images were of diagnostic quality, illustrating the promise – but also the technical variability – of mobile diagnostics.⁷² Extended-reality platforms, including virtual and augmented reality, offer promising applications for patient education and professional training. VR simulators such as the Eyesi system have demonstrated 32% improvement in cataract-surgery performance among novices and 38% improvement among intermediates, though further research is needed to evaluate long-term skill retention and determine their impact on clinical outcomes.⁷³ Integrating these technologies responsibly will require rigorous evaluation that ensure safety, accuracy, and equitable accessibility.

Patient education will also require re-evaluation as digital information evolves. Social media remains a major source of ophthalmic information, yet the structure of these platforms tends to elevate simplified or entertainment-oriented material over clinically vetted guidance. Infodemiological approaches – leveraging web-based surveillance, search-pattern analysis, and social media monitoring – offer a data-driven method for anticipating misinformation trends and developing targeted countermeasures.^20,43 Professional societies and clinicians may play a greater role in shaping digital communication by producing accessible, engaging content capable of competing with high engagement anecdotal narratives.

At the policy level, sustained innovation will require policy development that keeps pace with technological growth. Key issues such as interstate telemedicine licensure, data governance, algorithmic transparency, and reimbursement pathways remain inconsistently defined across institutions and jurisdictions.⁷⁴ Establishing standardized national guidelines will be critical to ensuring that new tools are deployed safely and equitably. Without coordinated regulation, digital expansion risks reinforcing existing disparities rather than reducing them.

Conclusion

Ultimately, the future of digital ophthalmology will depend on aligning technological innovation with clinical rigor and equitable access. Telemedicine, artificial intelligence, smartphone diagnostics, and extended-reality platforms each provide avenues to strengthen patient care, yet none can function without careful implementation, regulatory oversight, and sustained investment in patient and provider education. By integrating emerging technologies within an approach that prioritizes accuracy, accessibility, and inclusivity, the field is positioned to build a digital infrastructure that supports - not replaces - high quality patient care. Future progress in digital ophthalmology will depend on improving the quality of online information, strengthening clinician participation in digital spaces, and addressing misinformation before it becomes embedded in patient expectations.

Funding Statement

The authors did not receive funding from any organization for the submitted work.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

Andrew G. Lee, MD serves as a consultant for the National Aeronautics and Space Administration (NASA), the National Football League (NFL), and is a consultant for Amgen (speakers bureau, Advisory Board), Argenx (consultant) AstraZeneca, Bristol-Myers Squibb, Alexion (speakers bureau), Celgene (speaker), Catalyst (speaker), Ethyreal, Dompe, Viridian, and Stoke Therapeutics. He is also the Editorial Board for Frontiers, JNO, CJO, JJO, JAMA OPHTH, Eye, Survey of Ophth. Dr. Lee also produces YouTube content under the site Neuro-ophthalmology with Dr. Andrew Lee (NODAL). Dr. Lai also produces ophthalmic educational content through the website Ophthalmology Review (www.ophthalmologyreview.org) and its various social media accounts. All other authors have no relevant financial or non-financial interests to disclose for this work.