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 an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.835804/full |
| _version_ | 1818140585237676032 |
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| author | Mark A. Chia Mark A. Chia Angus W. Turner Angus W. Turner |
| author_facet | Mark A. Chia Mark A. Chia Angus W. Turner Angus W. Turner |
| author_sort | Mark A. Chia |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T10:46:19Z |
| format | Article |
| id | doaj.art-a0f115bc45bf4e94bb709059b1a5a1c8 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-11T10:46:19Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-a0f115bc45bf4e94bb709059b1a5a1c82022-12-22T01:10:27ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-03-01910.3389/fmed.2022.835804835804Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future DirectionsMark A. Chia0Mark A. Chia1Angus W. Turner2Angus W. Turner3Lions Outback Vision, Lions Eye Institute, Nedlands, WA, AustraliaInstitute of Ophthalmology, Faculty of Brain Sciences, University College London, London, United KingdomLions Outback Vision, Lions Eye Institute, Nedlands, WA, AustraliaCentre for Ophthalmology and Visual Science, University of Western Australia, Nedlands, WA, AustraliaTelemedicine 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.https://www.frontiersin.org/articles/10.3389/fmed.2022.835804/fulltelemedicineophthalmology (MeSH)rural health servicesindigenous health servicesquality of health care (MeSH)artificial intelligence |
| spellingShingle | Mark A. Chia Mark A. Chia Angus W. Turner Angus W. Turner Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions Frontiers in Medicine telemedicine ophthalmology (MeSH) rural health services indigenous health services quality of health care (MeSH) artificial intelligence |
| title | Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions |
| title_full | Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions |
| title_fullStr | Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions |
| title_full_unstemmed | Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions |
| title_short | Benefits of Integrating Telemedicine and Artificial Intelligence Into Outreach Eye Care: Stepwise Approach and Future Directions |
| title_sort | benefits of integrating telemedicine and artificial intelligence into outreach eye care stepwise approach and future directions |
| topic | telemedicine ophthalmology (MeSH) rural health services indigenous health services quality of health care (MeSH) artificial intelligence |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.835804/full |
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