I work with pharmacy claims data for an insurance company and wish to estimate how many members on existing products in a therapeutic class will shift to the new product in the same class i.e. insulin once the drug has been covered by the insurance company.
New entrants/products are very common but each one has their own nuances, some are blockbusters while others are flops, some drugs have many indications/uses while others are very specific.
I have access to lots of demographic, historical utilisation, diagnosis code data and formulary information that I could incorporate into a model. I would be keen to hear people’s thoughts and suggestions about how one would tackle such a problem.