Patient education in pediatric ophthalmology: a systematic review

Frank, Tahvi; Rosenberg, Steven A.; Talsania, Sonali D.; Yeager, Lauren A.

doi:10.1016/j.jaapos.2022.09.009

Cited by 2 publications

(1 citation statement)

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“…Another significant challenge pertains to patient education. Many eye conditions necessitate ongoing management and patient compliance, which can be improved through the provision of effective education and information [23][24][25][26]. Ophthalmology chatbots have the ability to dispense general eye health information, elucidate common ophthalmic procedures and treatments, and offer guidance regarding pre-and post-operative care.…”

Section: Identifying Key Challenges In Ophthalmology Practicementioning

confidence: 99%

Personalized Care in Eye Health: Exploring Opportunities, Challenges, and the Road Ahead for Chatbots

Ittarat,

Cheungpasitporn,

Chansangpetch

2023

JPM

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In modern eye care, the adoption of ophthalmology chatbots stands out as a pivotal technological progression. These digital assistants present numerous benefits, such as better access to vital information, heightened patient interaction, and streamlined triaging. Recent evaluations have highlighted their performance in both the triage of ophthalmology conditions and ophthalmology knowledge assessment, underscoring their potential and areas for improvement. However, assimilating these chatbots into the prevailing healthcare infrastructures brings challenges. These encompass ethical dilemmas, legal compliance, seamless integration with electronic health records (EHR), and fostering effective dialogue with medical professionals. Addressing these challenges necessitates the creation of bespoke standards and protocols for ophthalmology chatbots. The horizon for these chatbots is illuminated by advancements and anticipated innovations, poised to redefine the delivery of eye care. The synergy of artificial intelligence (AI) and machine learning (ML) with chatbots amplifies their diagnostic prowess. Additionally, their capability to adapt linguistically and culturally ensures they can cater to a global patient demographic. In this article, we explore in detail the utilization of chatbots in ophthalmology, examining their accuracy, reliability, data protection, security, transparency, potential algorithmic biases, and ethical considerations. We provide a comprehensive review of their roles in the triage of ophthalmology conditions and knowledge assessment, emphasizing their significance and future potential in the field.

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Section: Identifying Key Challenges In Ophthalmology Practicementioning

confidence: 99%