Our Work

HBHI and PERLHS brought researchers and the people who run Johns Hopkins hospitals together to ask how the system learns from its own patients, and what keeps it from learning faster.

Two Center for Medicare and Medicaid Innovation directors, past and present, compare notes on how the center maintains its mission of making care more affordable and accountable through administration changes.

The use of artificial intelligence and machine learning (ML) tools is now common in the advancement of health care services and clinical risk estimation.