William Halfpenny1, Sally L Baxter2,3. 1. School of Clinical Medicine, University of Cambridge, Cambridge, UK. 2. Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology and Shiley Eye Institute. 3. Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA.
Abstract
PURPOSE OF REVIEW: The purpose of this review is to provide an overview of updates in data standardization and data privacy in ophthalmology. These topics represent two key aspects of medical information sharing and are important knowledge areas given trends in data-driven healthcare. RECENT FINDINGS: Standardization and privacy can be seen as complementary aspects that pertain to data sharing. Standardization promotes the ease and efficacy through which data is shared. Privacy considerations ensure that data sharing is appropriate and sufficiently controlled. There is active development in both areas, including government regulations and common data models to advance standardization, and application of technologies such as blockchain and synthetic data to help tackle privacy issues. These advancements have seen use in ophthalmology, but there are areas where further work is required. SUMMARY: Information sharing is fundamental to both research and care delivery, and standardization/privacy are key constituent considerations. Therefore, widespread engagement with, and development of, data standardization and privacy ecosystems stand to offer great benefit to ophthalmology.
PURPOSE OF REVIEW: The purpose of this review is to provide an overview of updates in data standardization and data privacy in ophthalmology. These topics represent two key aspects of medical information sharing and are important knowledge areas given trends in data-driven healthcare. RECENT FINDINGS: Standardization and privacy can be seen as complementary aspects that pertain to data sharing. Standardization promotes the ease and efficacy through which data is shared. Privacy considerations ensure that data sharing is appropriate and sufficiently controlled. There is active development in both areas, including government regulations and common data models to advance standardization, and application of technologies such as blockchain and synthetic data to help tackle privacy issues. These advancements have seen use in ophthalmology, but there are areas where further work is required. SUMMARY: Information sharing is fundamental to both research and care delivery, and standardization/privacy are key constituent considerations. Therefore, widespread engagement with, and development of, data standardization and privacy ecosystems stand to offer great benefit to ophthalmology.
Authors: Wei Yan Ng; Tien-En Tan; Zhe Xiao; Prasanth V H Movva; Fuji S S Foo; Dongyuan Yun; Wenben Chen; Tien Yin Wong; Hao Tian Lin; Daniel S W Ting Journal: Asia Pac J Ophthalmol (Phila) Date: 2021 Jul-Aug 01
Authors: Nicola Rieke; Jonny Hancox; Wenqi Li; Fausto Milletarì; Holger R Roth; Shadi Albarqouni; Spyridon Bakas; Mathieu N Galtier; Bennett A Landman; Klaus Maier-Hein; Sébastien Ourselin; Micah Sheller; Ronald M Summers; Andrew Trask; Daguang Xu; Maximilian Baust; M Jorge Cardoso Journal: NPJ Digit Med Date: 2020-09-14