MP8 - Addressing Bias in an Algorithm for Selecting Homeless Medicaid Recipients for a Statewide Housing Program

As governmental and private organizations have increasingly recognized racism as a public health crisis, addressing health disparity has never been more important. Recent research has demonstrated that the very data-driven processes that are commonly used in health care to mitigate bias in human decision making, may actually magnify and perpetuate existing disparity based on race and ethnicity. Explore the successful efforts of one state to develop an algorithm that mitigates bias in selecting vulnerable populations for participation in a housing program for Medicaid recipients who are homeless.