
Sign up to save your podcasts
Or


Welcome to IDEA Collider. In this episode, host Dr. Alex Gray, Chief Medical and Innovation Officer at IDEA Pharma, is joined by colleague Jacqueline Poot, President of Strategic Consulting and Analytics, to discuss the intricacies of pharmaceutical portfolio strategy.
This episode has accompanying slides that can be found on YouTube https://youtu.be/DKdy_MShWBA
They tackle the growing view that the pharmaceutical industry doesn't just have a science problem; it has an execution problem. Alex breaks down how human biases, such as confirmation bias and champion bias, can derail clinical development and lead to poor portfolio choices. They emphasize that stopping a failing project early is just as critical to an organization's overall success as advancing a good one.
The episode explores successful decision-making frameworks from top-performing companies, analyzing how AstraZeneca's 5Rs framework reversed late-stage failures and examining structured matrices such as Roche's RAVE, Amgen's RAVE, and Pfizer's DICE. Alex also highlights Eli Lilly's highly successful Chorus unit and their use of AI to drive objective resource allocation. Tune in to hear why relying solely on standard Probability of Technical Success (PTS) models or Risk-Adjusted NPV is flawed, how operational issues drive numerous Phase 3 failures, and the incremental but powerful role machine learning will play in the next generation of drug development.
By IDEA Pharma, SAI MedPartners5
22 ratings
Welcome to IDEA Collider. In this episode, host Dr. Alex Gray, Chief Medical and Innovation Officer at IDEA Pharma, is joined by colleague Jacqueline Poot, President of Strategic Consulting and Analytics, to discuss the intricacies of pharmaceutical portfolio strategy.
This episode has accompanying slides that can be found on YouTube https://youtu.be/DKdy_MShWBA
They tackle the growing view that the pharmaceutical industry doesn't just have a science problem; it has an execution problem. Alex breaks down how human biases, such as confirmation bias and champion bias, can derail clinical development and lead to poor portfolio choices. They emphasize that stopping a failing project early is just as critical to an organization's overall success as advancing a good one.
The episode explores successful decision-making frameworks from top-performing companies, analyzing how AstraZeneca's 5Rs framework reversed late-stage failures and examining structured matrices such as Roche's RAVE, Amgen's RAVE, and Pfizer's DICE. Alex also highlights Eli Lilly's highly successful Chorus unit and their use of AI to drive objective resource allocation. Tune in to hear why relying solely on standard Probability of Technical Success (PTS) models or Risk-Adjusted NPV is flawed, how operational issues drive numerous Phase 3 failures, and the incremental but powerful role machine learning will play in the next generation of drug development.