Thursday, October 1, 2020

How Machine Learning Can Enhance Healthcare Delivery



Kevin Lilly has 20 years of experience providing new technology solutions to improve healthcare delivery. While he was senior vice president of MiMedx Group, Kevin Lilly leveraged machine learning technologies to drive Mimedx's automation of customer relationship and sales management systems.

Machine learning is growing in importance in the healthcare industry, as artificial intelligence is increasingly used for direct healthcare delivery. Machine learning can help automate many administrative duties through smart records management, freeing up physicians to provide better care to their patients. It can also enable early diagnosis of certain medical conditions, such as cancer, which can be hard to detect in their initial stages. Machine learning-driven medical imaging can result in more precise analysis, closer to the condition’s onset.

Machine learning can also help make medical research faster through the automated analysis of medical literature and information, a task that can take significant amounts of time for a human team to complete. 

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