Abstract
Measurement of satisfaction from public health services is an important problem. Unhappy patients may lose trust in public health services and avoid using them even when they need do need help. New big data analytics tools could be used to help understand their preferences better and increase satisfaction from public health services. Unsupervised extraction of key themes from written feedback with an LDA topic model can help with better understanding of the preferences of patients and their carers. The additional insight may help improve the speed of organisational learning in public healthcare organisations and open up new avenues of research.
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