Ep. 52 - Data Interoperability & AI with Kane Tomlin

In this episode of "For the Love of Revenue Cycle," host Vanessa Moldovan welcomes Kane Tomlin, who describes his path to state government work at the Mississippi Department of Health on data modernization and AI. They discuss how decades of point solutions created siloed public health data (e.g., TB and STI systems) that slow decisions such as infant mortality reviews, and how integrated, properly segmented data could automate case-file assembly for review boards and enable faster cause-and-effect learning. 00:00 Welcome 00:38 Meet Kane Tomlin 01:38 Kane's Career Path 03:30 Why Health Data Modernization 06:11 Dotcom Digitization Lessons 08:25 Keeping Humans in Control 08:47 Where to Find Kane's Work 09:30 Silos in Public Health Decisions 09:56 Infant Mortality AI Example 13:16 Blockers Privacy and Ecosystems 16:58 Responsible Integration and De-ID 20:11 What AI Enables in Healthcare 23:31 Pandemic Potential and Risks 25:41 Call to Action for Interoperability 28:47 Revenue Cycle Data Integrity Role 30:32 Closing