Harvard Business Review November 13, 2019
Machine learning will dramatically improve health care. There are already a myriad impactful ML health care applications from imaging to predicting readmissions to the back office. But there are also high-profile, expensive efforts that have not achieved their goals.
In our collective roles as the CEO of a care delivery analytics business, tech-driven clinicians, and the leader of tech innovation at a major health system, we have developed and used dozens of ML applications. Many of these have succeeded, but others have not. From these experiences we have identified three common myths that exist around ML in health care.
Myth 1: Machine learning can do much of what doctors do.
The reality is that ML applications can perform some of...
Today's Sponsors
Today's Sponsor