LDI Fellows’ AI Program Could Save Medicare Billions in Overpayments
Replacing Flawed Current Payment Methods With the Machine Learning Model “Franklin,” Might Thwart Upcoding and Favorable Enrollee Selection by Medicare Advantage Firms
Chris Tachibana is a Staff Writer for Penn LDI. She is also Senior Managing Editor of the journal Health Services Research, and a scientific editor for Kaiser Permanente Washington Health Research Institute. Before moving to a career in scientific writing and editing, she was a research scientist and undergraduate instructor at the University of Washington and Penn State University. She also taught at Salt Lake Community College. She holds a BA from Whitman College, an MS from Cornell University, and a PhD from the University of Oregon.
Replacing Flawed Current Payment Methods With the Machine Learning Model “Franklin,” Might Thwart Upcoding and Favorable Enrollee Selection by Medicare Advantage Firms
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