Forbes December 10, 2019
Today, many doctors find themselves drowning in a sea of data while spending more time on clicks and taps in electronic medical records than on face-to-face diagnosis and treatment of their patients.
This is a problem that I believe threatens to worsen outcomes and high costs of healthcare in the U.S. (the U.S. outranks most comparable countries in metrics such as disease burden, medical errors and waiting time to see a practitioner while having the highest per capita healthcare spending).
Artificial intelligence (AI) and machine learning (ML) technologies are helping transform this deluge of healthcare data into insights that can help hospitals and doctors become more efficient, accurate and accessible. I’ve seen this firsthand through my own company, which uses...
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