About 10 years ago, a local authority in the UK developed a really useful database of the local population to identify people who were at risk of being admitted to hospital. When they got down to using it, though, people didn’t seem to be in as acute a level of need as they expected them to be. What went wrong? Douglas  helped them understand: “I don't know how long it would've taken them to figure out that that was what was happening. But the model brought them to that conclusion much faster.” Health policy is fashionable in the post-pandemic world. In this episode, we feature insights about analytics from someone who has been modeling health systems since 2002.