[Justin Martin]

I personally haven’t used it yet, but I’m somewhat familiar with that and the CareKit platforms.

It seems they’re basically a set of tools you can easily embed into your existing apps to better/more-easily capture, render and handle that data.

I’d love to hear if anyone has experience with any of these yet. As you mentioned in that primer – big tech has big plans for these spaces so it’s interesting to say abreast of their contributions.

[Justin Martin]

I’m curious what the incentive is for the agencies to be friction points/barriers instead of resolution points. You’d think that on their end they could develop a system that proactively prompts and encourages the submitting user to provide their base level of detail for a successful “ticket” or claim.

If they’re unwilling and unable then maybe it’s something you could track on your end. Looking at all the counterpoints they raise, datify that, and use that insight to make your process more likely to be accepted.

[Justin Martin]

Definitely a good point, lots of these data entry / management companies rely on the deep pockets of their healthcare clients to maintain an overhead instead of seeking operational efficiencies on their own end.

I’d love to hear some more details on the note correction process, sounds like there could be some ways to improve that efficiency.

[Justin Martin]

It’s also another big disconnect in this space especially. Everyone thinks of AI as “black box magic”, not understanding that in order to have your AI work, it has to be properly configured and fed the right kind and amounts of data to get what you’re wanting out of it.

That takes you right back to the provider/expert/artist and having the tech (folks and then the tech itself) understand the problems to solve at a more fundamental level.