tHEORetically Speaking

In this episode of tHEORetically Speaking, join Michael Grabner, Alexander Turchin, and Shivani Pandya as they answer questions on causal inference and designing these studies using real-world healthcare data.

In this episode of tHEORetically speaking, join Elodie de Bock, Valentin Barbier, Adel Mebarki, and Joelle Malaab as they answer questions on how to collect, use, analyze, and interpret social media data in different contexts.

In this episode of tHEORetically speaking, join Chris Waters-Banker, Maria Arregui, Rajshree Pandey, Lee-Anne Bourke, and Patti Peeples as they answer questions on what Health Technology Assessment (HTA) agencies do and the types of literature reviews they do.

In this episode of tHEORetically speaking, join Priti Jhingran and Tijana Ignjatovic as they answer questions on opportunities for using agile platforms and fit-for-purpose engagement models that can drive an iterative approach to obtaining payer insights and developing impactful evidence generation strategies.

In this episode of tHEORetically Speaking, join Jincy Paulose, George Joseph, and Michael Broder as they answer questions around leading Delphi panels, their experience participating in the discussions, and how they have used the results.

In this episode of tHEORetically Speaking, join Danielle Drachmann, Josie Godfrey, Kristine Sorensen, Beth Lesher, Kelly McCarrier, and Gavin Jones as they answer questions on how to improve health literacy and the understandability of the HEOR process to enable effective partnerships, as well as to assist patients to participate in shared decision making with their physicians.

In this episode of tHEORetically Speaking, join Marija Zivkovic-Gojovic, Richard Pitman, and Pragya Khurana as they answer questions on infectious disease modeling, the assessment of interventions, and the challenges around these analyses. 

In this episode of tHEORetically speaking, Bill Saunders from IntegraConnect discusses  Real-World Data and Real-World Evidence in the context of value-based care and precision medicine for specialty care.

To read the full blog and watch the interview click here.

In this episode of tHEORetically Speaking, join Nitin Baliga, Insitute for Systems Biology, and Thomas Brown, Syapse as they answer questions on utilizing real-world data, machine learning, and systems biology for benefiting therapeutic development.

 We recently sat down with Preeti Patel, MPharm, CEO and Founder of GPI, to learn what is driving the growing importance for early stage asset value and price prediction, how GPI is supporting clients through these challenges, and how this solution was developed.

Global Pricing Innovations (GPI) is a price and access insights company that uses analytics to provide data-driven, evidence-based support, and helps clients make better investment decisions for drug development and commercialization.

Read the full blog post here.