On-call telehealth for visiting optometry in regional Western Australia improves patient access to eye care

The Role of Optometry in the Delivery of Eye Care via Telehealth: A Systematic Literature Review

Objective: Optometrists are increasingly adopting teleoptometry as an approach to delivering eye care. The coronavirus disease 2019 (COVID-19) pandemic has created further opportunities for optometrists to utilize innovation in telehealth to deliver eye care to individuals who experience access barriers. A systematic literature review is presented detailing the evidence to support the use of teleoptometry. Methods: Databases of MEDLINE, Global Health, and Web of Science were searched, and articles were included if they reported any involvement of optometrists in the delivery of telehealth. Findings were reported according to the mode of telehealth used to deliver eye care, telehealth collaboration type, and the format and geographical areas where eye care via telehealth is being delivered. Results: Twenty-seven relevant studies were identified. Only 11 studies included the role of optometrists as a member of the telehealth team where the scope of practice extended beyond creating and receiving referrals, collecting clinical data at in-person services, and continuing in-person care following consultation with an ophthalmologist. Both synchronous and asynchronous telehealth services were commonly utilized. Optometrists were most commonly involved in ophthalmology-led telehealth collaborations (n = 19). Eight studies reported optometrists independently delivering primary eye care via telehealth, and commonly included videoconferencing. Conclusion: The application of teleoptometry to deliver eye care is rapidly emerging, and appears to be a viable adjunct to the delivery of in-person optometry services. The review highlighted the scarcity of evidence surrounding the clinical benefits, safety, and outcomes of teleoptometry. Further research is required in this area.

Telemedicine and delivery of ophthalmic care in rural and remote communities: Drawing from Australian experience

Rural and remote communities in Australia are characterised by small but widely dispersed populations. This has been proven to be a major hurdle in access to medical care services with screening and treatment goals repeatedly being missed. Telemedicine in ophthalmology provides the opportunity to increase the availability of high quality and timely access to healthcare within. Recent years has also seen the introduction of artificial intelligence (AI) in ophthalmology, particularly in the screening of diseases. AI will hopefully increase the number of appropriate referrals, reduce travel time for patients and ensure timely triage given the low number of qualified optometrists and ophthalmologists. Telemedicine and AI has been introduced in a number of countries and has led to tremendous benefits and advantages when compared to standard practices. This paper summarises current practices in telemedicine and AI and the future of this technology in improving patient care in the field of ophthalmology.

Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions

Telemedicine has traditionally been applied within remote settings to overcome geographical barriers to healthcare access, providing an alternate means of connecting patients to specialist services. The coronavirus 2019 pandemic has rapidly expanded the use of telemedicine into metropolitan areas and enhanced global telemedicine capabilities. Through our experience of delivering real-time telemedicine over the past decade within a large outreach eye service, we have identified key themes for successful implementation which may be relevant to services facing common challenges. We present our journey toward establishing a comprehensive teleophthalmology model built on the principles of collaborative care, with a focus on delivering practical lessons for service design. Artificial intelligence is an emerging technology that has shown potential to further address resource limitations. We explore the applications of artificial intelligence and the need for targeted research within underserved settings in order to meet growing healthcare demands. Based on our rural telemedicine experience, we make the case that similar models may be adapted to urban settings with the aim of reducing surgical waitlists and improving efficiency.