The ‘eharmony’ of healthcare — how Health at Scale Technologies can match patients to the right providers for optimal outcomes

Becker's Healthcare November 7, 2019
In collaboration with Health at Scale Technologies

Machine learning and artificial intelligence has been hyped as a panacea for improving healthcare delivery. Traditional machine learning and AI algorithms typically require massive amounts of data for training and optimization. However, many problems in healthcare become “small data” problems when the predictions are focused on individual patients and providers.

For example, 52 percent of hip replacements are performed by low-volume surgeons who take on fewer than 10 cases per year. As a result, it’s hard to model individual provider performance for the health system’s network and devise a treatment plan. The same problem rings true in the emergency department; 65 percent of ED visits are related to issues outside of the top 10 most common complaints, so modeling individual...

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