Many of those barriers have historical reasons for existing -- which do you think could be lowered without risking patient health (or yielding sufficient benefit to be worth some added risk)?
I care about this mostly from the perspective of treating patients. Beyond training sets for AI, I need those records for the same reason: to make appropriate and informed treatment decisions.
From the outside looking in, it's the kind of situation that begs companies to over-promise on results to get enough money to even give it a shot.
May I ask what your target users are? I sell alot of nuance PS360, and fluency
I was at a talk recently by an executive in charge of managing data for a massive health system. Think tens of millions of patients. He said they dont share data because if people learn their real quality metrics it would give payers, the public, anyone with an interest that isnt aligned w the hospital system ammunition against them. Have heard this sentiment echoed by many. Open data is their enemy because then patients could choose based on outcomes, not on market power or how nice the lobbies are
The EMRs designed a closed garden into their systems DNA. If data is shared freely then it's easy to switch systems, and they will have to compete based on cost and quality and couldn't charge hundreds of millions for installations and maintenance contracts
Call me cynical but this is all based on conversations with people well placed in the industry