Why Front-of-House Time Is 99% Backwards
Jared Aron argues clinics have the ratio backwards: 99% of front-of-house time goes to low-value work and 1% to the patient interactions that actually matter, and reframes the job as a maître d', not a call center.
Jared Aron
“That key point person should feel like the maître d' of the clinic experience.”— Jared Aron
Show notes
Jared Aron opens with a blunt diagnosis: in most clinics, 99% of front-of-house time goes to low-value administrative work and only 1% to genuinely high-value patient interaction, when it should be the reverse. He reframes the role entirely around hospitality, arguing front-of-house should deliver a five-star first and last impression, like a maître d', rather than acting as traffic control for calls, payments, and procurement.
He and Thandi trace what was lost as clinics automated: a follow-up email is efficient but knows nothing about why a specific patient hasn't been in for three months, context a practitioner used to hold in their head that never makes it into the practice management software. The result, he argues, is an industry where technology adoption hasn't lowered the cost of care the way it has almost everywhere else.
Jared is emphatic that the deeper issue is the user, not the tool: powerful CRMs already exist, but almost no one in a clinic is trained or resourced to use one properly, which is why practices end up running a PMS, a sales pipeline tool, and a marketing platform side by side with no shared source of truth. Asked whether AI will replace the sales desk, he says no, not fully — an AI agent can triage and reroute a call well today, but the qualifying, discovery-led conversation once a patient's need is understood is a uniquely human moment that depends on connecting context AI systems don't yet have.
Key takeaways
- Front-of-house time is inverted from where it should be: roughly 99% goes to low-value work and 1% to the high-value patient interactions that matter most.
- Front-of-house should be treated like hospitality, delivering a five-star first and last impression, not run as reactive traffic control.
- Automating follow-up (a recall email, a booking confirmation) made clinics more efficient but stripped out the personal context a practitioner used to carry in their head.
- Healthcare is unusual in that technology adoption hasn't brought down the cost of providing care, unlike almost every other consumer sector.
- The core gap in most clinics is a user problem, not a tooling problem: powerful CRMs exist, but almost no one on staff is equipped to use one properly.
- AI can handle call triage and rerouting well today, but the human, discovery-led qualifying conversation is not close to being fully automatable.
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