why do some healthcare tools get used and others get ignored after a week?

hey everyone,

i’m trying to understand something from people actually working in healthcare / healthtech.

why do some tools actually get adopted by clinicians and staff, while others look great in the demo and then basically disappear after week one?

i’ve seen this happen a lot. leadership gets excited, vendor says it will save hours, everyone does training, and then doctors or staff quietly go back to the old way because the new thing adds clicks or feels like another thing to babysit.

what healthcare software have you seen people actually keep using?

could be an AI scribe, EHR shortcut, note template, coding tool, intake form, patient messaging, inbox automation, billing tool, or even something boring that just removed a small daily headache.

why did it work?

was it because it fit inside the EHR, saved typing, reduced clicks, solved one specific problem, or because clinicians were involved before rollout?

i’m working around this space and trying to understand what makes a tool useful after the demo hype is gone.

would love honest examples, even boring ones.

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u/rahuliitk — 11 days ago

billers/coders, what would make you trust an AI tool?

Hey everyone, i’m working on an AI tool for healthcare admin/RCM stuff like eligibility, prior auth, coding support, claim follow-up, denials, etc.

i’m not here to say AI is going to replace billers or coders, because honestly the more i talk to people in this space, the more obvious it is that the hard part is judgment, payer weirdness, documentation gaps, and knowing when something looks off even if the system says it’s fine.

what i’m trying to figure out is what would actually make you trust a tool like this in your day-to-day work?

like, if it suggested codes, flagged missing documentation, caught auth/eligibility issues earlier, or warned that a claim might deny before it goes out, what would you need to see before you’d take it seriously?

audit trail? source notes from the chart? confidence score? payer-specific rules? coder review before anything gets submitted?

or would it still just feel like one more thing to babysit?

would really appreciate honest thoughts from people actually doing billing/coding every day.

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u/rahuliitk — 13 days ago
▲ 1 r/SaaS

How do you know if a healthcare admin problem is actually painful enough to build around?

I’m working on QuickIntell, an AI workflow tool for healthcare teams, mostly around eligibility, prior auth, denials, billing follow-up, coding support, and other RCM/admin stuff that eats up staff time.

The hard part is that healthcare has so many broken workflows that almost everything sounds painful when you ask about it.

People will say:

“yeah prior auth sucks”

“yeah denials are annoying”

“yeah eligibility mistakes waste time”

“yeah our staff is overloaded”

But I’m trying to figure out what is actually painful enough that a clinic, billing team, RCM company, or MSO would change how they work and maybe pay for a tool.

Because “that sounds useful” and “we need this now” are very different things.

And in healthcare, even if the workflow is painful, teams may still avoid new software because implementation, training, EHR integration, compliance, and staff adoption can feel like another problem on top of the original problem.

So for people who work in healthcare ops, billing, coding, prior auth, front desk, RCM, or practice management:

which admin pain would actually make you consider using a new tool?

Eligibility mistakes before the visit?

Prior auth tracking?

Denial prevention?

Coding/documentation checks?

Claim follow-up?

Patient balance confusion?

Payer policy changes?

Staff jumping between portals all day?

I’m not trying to pitch. I’m trying to understand where the real pain is vs where people are just politely agreeing.

For anyone who has bought, sold, or implemented healthcare SaaS, how do you tell if something is a real painkiller and not just another nice-to-have dashboard??

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u/rahuliitk — 17 days ago