AH118 - Chemo, Cars, & Where Health Plan Savings May be Hiding, with Brian Cotter
Most of the conversations out in the market about drug spend and inflated costs for employers focus on the pharmacy benefit and PBM relationship. But what about the medical side, where specialty drugs also live, and prices can be every bit as confounding? In this episode of Astonishing Healthcare , we welcomed Brian Cotter, founder of Bright Spot Insights, to the studio to help unpack the wild price variations that are hiding in plain sight. Brian shares a striking example: oxaliplatin (Eloxatin), a chemotherapy drug whose average sales price fell more than 99% after going generic, dropping from $2,053 to about $9.40 per dose. Yet there are hospitals listing a single treatment for anywhere from $8,000 to $10,000 - and even upwards of $30,000! He explains why this happens, how plan sponsors can spot it in their own claims data, and the practical steps to act on what they find. Along the way, he makes a compelling case for treating every data set as suspect until validated, and for why plan sponsors should question the assumptions that quietly drive costs. Episode Highlights Price variation is real, and it's astonishing: A drug can easily cost 100x more depending on the provider. Assumptions about biosimilars vs. reference drugs, and whether it's cheaper to process a specialty medication through the pharmacy vs. medical benefit, should be checked regularly. Plan sponsors MUST get their data and use it: Leverage the RFP process to set the terms, then assume it's incorrect until validated; benchmark drugs to Medicare when claims are thin; and pull in price transparency files to see what the market pays. Direct contracts with clear reimbursement terms can help: Use creative member engagement, such as arranging transportation to lower-cost, high-quality providers or infusion centers, to convert savings opportunities into actual savings. Data validation and AI - trust in your data is the foundation for everything: Almost every data set will be different, so data must be scrubbed and validated before using it. AI helps with heavy data engineering, but human review still matters, especially when a tool gets a little too "creative." Related Content How employers can take back control of unnecessary pharmacy spending AH114 - How Employers Can Use Clinical Programs to Reduce Cost and Complexity, with Nash Albadarin, PharmD How to obtain Rx data and what to do with it AH030 - Plan Sponsors Need a Source of Truth; Get Your Data Now & Find It, with Jeff Hogan Judi Health™ Achieves FedRAMP® Ready Status, Enabling Multi-Market Growth Across Federal Healthcare Organizations Connect with Brian on LinkedIn or explore free tools at www.brightspotinsights.com . Head to the Insights section at Judi Health for show notes and related content, and be sure to subscribe so you don't miss the next episode!


