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
- deep learning
- mental health
- optical coherence tomography
- primary care
- machine learning
- quality improvement
- genome wide
- palliative care
- high throughput
- data analysis
- convolutional neural network
- diabetic retinopathy
- artificial intelligence
- hepatitis c virus
- pain management
- high density