Managed Health Care Connect December, 2019
Technology continues to play a prominent role in the evolution of health care delivery but it comes with its own batch of challenges. What happens when systems are based on faulty programming, inaccurate data, or algorithmic calculations include biases?
Increasingly health care, like other sectors of society, is using and relying on algorithms based on big data and machine learning to generate protocols for health care delivery. Efficiency and improved outcomes may be the goal, but unintended consequences of relying on these algorithms may potentially harm patients and the health care systems that deliver care.
This was highlighted in a recent study published in Science magazine that showed significant racial bias in a widely used algorithm by payers and hospitals...
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