1. The best way I think we can enable patients/consumers to price discriminate is about pushing pricing into the moment when they're making a decision. An example of how to do this is: https://carbonhealth.com/flu/flu-vaccination-centers . .. we created a map, that indexes well, for where to find the lowest cost flu shot (this was done before the price transparency data was available, but I fully intend to a) incorporate the price transparency data for our existing maps and b) create new health maps for basically every service that tells you the relative rate for your plan
2. There's going to be real demand for an API that returns pricing data, for marketplaces that aggregate patients (like Solv, Zocdoc, Sesamecare, healthgrades etc) because pricing is probably the most in-demand decision driver that no one has.
3. Ultimately, I expect Google and Apple to incorporate these prices into maps. Then you'll see it have a real impact on consumer behavior, because most healthcare journeys (whether we like it or not) start with a search.
While I think you should make pricing available for everything (bc after all, there is a price for everything) I think it's most effective to start with diagnostics (mammograms, xrays, STD tests etc) because there's pretty low variance in outcomes (ie it kinda doesn't matter where you get them, you're getting the same thing). When it comes to complex therapeutic searches (eg oncology, chronic care) while pricing is one dimension, patients probably want to see pricing along with a proxy for quality (eg that specialists quality metrics, number of times the MD has done that procedure, etc), bc the healing process for those are not linearly related to price, and the cost of a visit is just a fraction of going down the wrong therapeutic pathway, for both the patient and the system.