INDUSTRY
Medical Practices
Independent primary care and specialty practices lose new patients at the phone, and most operators looking at AI for medical practices start there for a reason. A prospective patient calls during lunch, hits a full voicemail box or a hold queue, and books with the next practice on their insurance directory. Front desk staff are simultaneously checking patients in, processing copays, and answering the phone — and the phone usually loses. By the time someone calls back, the slot is filled elsewhere.
Start with an audit →The problem
Inside the day, the recurring time burn is refill requests, prior auth follow-ups, and post-visit questions. Most of these don't require a clinician — they require a structured process. Instead, messages stack up in the EHR inbox, the medical assistant routes them one by one, and the physician spends an hour after clinic clearing them. That hour is unbillable and uncompensated, and it's the first thing serious medical practice automation should absorb.
The third pressure is documentation drift. New billing codes, payer policy changes, and protocol updates land in email and get half-read. Without a structured way to capture and route policy updates, staff fall back on what they did last year, and the practice eats denials that should never have happened. Practical AI for doctors looks like this — boring, structural, and aimed at the workflows that actually leak revenue.
Capabilities for Medical Practices
These productized capabilities apply directly to medical practices operations. Engage one or stack several.
Sales & Lead-gen
Ops & Back-office
How clients in this vertical engage
Most practices show up the same way: a solo doc or a two-to-five provider group where the owner is also seeing patients all morning, then trying to run the business at lunch. The $99 audit is built for exactly that operator. You answer a structured set of questions about your front desk, your recall list, your no-show rate, and the EHR you already pay for, and we send back a written report that names the two or three workflows leaking the most revenue. No sales call required to get the document. Most owner-doctors read it between patients and forward the relevant page to their office manager that same week.
If the audit names a workflow worth fixing, the next step is a fixed-price build or a $497 Founder Review Call to pressure-test the approach before anyone signs anything. The builds we run for independent practices are concrete and narrow. A no-show recovery agent that texts the next three eligible patients on the recall list when a slot opens at 9:14 AM. A prior-auth follow-up bot that calls the payer queue, waits on hold, and hands the call to your medical assistant only when a human picks up. An after-hours intake triage that captures new-patient demographics, insurance, and reason-for-visit so Monday morning isn't a phone backlog. One workflow, scoped tight, built in two to four weeks, priced before we start.
After the build ships, most practices keep us on a small monthly retainer because medicine doesn't sit still. Payer rules change quarterly. A medical assistant leaves and the new hire needs the workflow re-tuned. You open a second location and the scheduler logic needs to route by provider and site. Retainer work is the unglamorous maintenance that keeps the automation from rotting — Golden Horizons treats it as the default, not the upsell, because a recall agent that drifts out of sync with your fee schedule is worse than no agent at all.
Questions Medical Practices owners ask first
The same questions come up on most discovery calls. Here are the short answers.
- How do you scope a build when our practice runs on Athenahealth or eClinicalWorks?
- We start with the EHR you already pay for, not a rip-and-replace. The $99 audit asks which system holds your schedule, your recall list, and your patient demographics — Athenahealth, Epic Community Connect, eClinicalWorks, Practice Fusion, DrChrono, NextGen, or one of the smaller specialty platforms. From there we map which integration points are documented (most of these have API access at the practice tier, some require an enterprise upgrade) and which workflows would have to ride on top via SMS, secure messaging, or a thin web layer. The scoping document names the integration path explicitly, including any vendor fees you'd owe for API access. If your EHR doesn't expose what we need, we say so and propose a workaround instead of pretending the limitation isn't there.
- How do you handle PHI in voicemails, SMS replies, and patient emails?
- Every engagement that touches protected health information runs under a signed Business Associate Agreement before any patient data moves. Production model calls are pinned to AWS Bedrock in a HIPAA-eligible configuration so prompts and outputs aren't used for training and don't leave the BAA boundary. Voicemail transcriptions, inbound SMS, and patient email pass through that same boundary — never through a consumer LLM endpoint. Logs are minimum-necessary by default: we capture what's needed to debug a workflow and nothing more, with retention windows you approve in writing. If you're in a state with stricter rules than HIPAA — California, New York, Texas mental health — we name those upfront in the scoping document and adjust the architecture to match.
- Can you build an after-hours voice receptionist that doesn't sound like a robot to elderly patients?
- Yes, and the patient demographic is exactly why we build it the way we do. The voice-receptionist pattern for independent practices answers the line in one ring, identifies itself plainly as an automated assistant for the practice, and gives the caller two clear paths: book a new-patient appointment now, or leave a message that gets routed to the right inbox by Monday. It does not try to diagnose, it does not pretend to be a human, and it hands off to your answering service or on-call line for anything urgent. We build it so the caller can say "I need to talk to a person" at any point and get there. For practices with a heavy Medicare panel, we tune the speech recognition for slower cadence and test against real recorded calls before it goes live.
- What kind of ROI should an independent practice expect, and on what timeline?
- Honest answer: it depends on which workflow you fix first, and we won't promise numbers we can't ground. The fastest payback we see is no-show recovery and recall outreach — practices running at a 12-to-18 percent no-show rate typically claw back several filled slots a week once the agent is live, and a single recovered new-patient visit usually covers a month of retainer. Prior-auth follow-up is slower to show on the P&L but compresses cycle time so your medical assistant stops spending mornings on hold. Most builds ship in two to four weeks, run a two-to-three week tuning period against your real call and message volume, and stabilize by month two. We track the metric that matters for that specific workflow — fill rate, days-to-auth, after-hours capture rate — and put it in a monthly snapshot so you can see whether the thing is actually earning its keep.
Let’s talk about your Medical Practices engagement.
Send a brief or start with the audit. Either way, you get a scoped response within one business day.
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