The potential value of community-acquired retinal images can be harnessed only if they are linked to centrally-held healthcare care data. Despite the lack of interoperability between systems within optometry practices and inconsistent use of unique identifiers, data linkage is possible using robust, almost entirely automated processes.
Keyphrases
- healthcare
- electronic health record
- big data
- mental health
- deep learning
- optical coherence tomography
- quality improvement
- machine learning
- genome wide
- primary care
- palliative care
- gene expression
- high throughput
- dna methylation
- artificial intelligence
- pain management
- human immunodeficiency virus
- hiv testing
- men who have sex with men
- high density