🚀 DocRepute is in early access — free to startGet early access →
✨ Early access — free to start

FQHC Patient Intake Software for Health Centers Running More Than One Front Desk

Your intake form is not one form. It is the version at the main site, the shorter one the school-based clinic trimmed, and the box the mobile unit printed last year. DocRepute is a patient-experience workflow layer being built for exactly that problem — and we are looking for health centers to build it with.

D
M
R
S
Join healthcare practices on the waitlist

FQHC patient intake software has to work at every site, not just the main one

Ask a health center for its intake form and you will usually be handed one. Ask each site, and you get several. The version at the main clinic. The shorter one the school-based site trimmed because there was never enough time. The one the dental suite added two questions to. The one the mobile unit printed in a box of two hundred and has been working through ever since. Nobody did anything wrong — a document on a shared drive drifts, and paper drifts faster because it is already printed and already in a cupboard. That is the specific problem FQHC patient intake software has to solve, and it is not the problem a single-site private practice has. DocRepute is a patient-experience workflow layer covering intake, patient surveys and feedback workflows, plus neutral review requests. For federally qualified health centers it is explicitly at roadmap stage: we are pre-launch, we are designing the multi-site behaviour with design partners rather than claiming it is finished, and this page is written so you can see exactly where that line sits before spending anybody's time.

  • Built for HIPAA-compliant workflows

  • Free to start — 50 patient actions each month

Community health center intake: one published form, one version, changed once

The practical win in community health center intake is version control, and for a multi-site organisation it is worth more than any feature list. A form lives at one address rather than in a folder on a drive. When the registration lead changes something — different wording on the household composition question, a new line for preferred name and pronouns, one field removed because nobody has ever used it — she changes it once and republishes, and every site is on the new version the same afternoon. The printed copy regenerates from that same version as a US Letter PDF with real writing space, so the paper the mobile unit hands out and the screen a patient sees at the main clinic finally say the same thing. Conditional sections let a single published form serve situations that genuinely differ — a first visit against a returning patient, an adult against a child, medical against behavioral health — without spawning six documents that will have drifted apart again by spring. And because building, editing and republishing forms costs nothing at all, there is no reason to leave a bad question in place just because changing it feels expensive.

Built for the patient with the oldest phone in the waiting room

An intake form at a health center is only as good as its least-equipped patient, which is a design constraint most vendors quietly skip. Assume a phone that is several years old, a data plan being rationed, a device shared with somebody else in the household, and a person reading at a different level than whoever wrote the form. So write the labels and the helper text yourself, in the plain words your outreach staff would actually use, and use that space to explain why you are asking rather than leaving a bare field and hoping. Ask for an email address only where your workflow truly needs one, because a required email field is a form a good number of your patients cannot finish. Keep the printed path first class rather than a fallback, since it will always be somebody's only option. And on language we will be straight with you: DocRepute ships no translated forms and does not translate anything for you. What it gives you instead is the ability to author a second version in the language your community actually speaks, in your own staff's wording rather than a machine's, and publish it beside the first. That is usually better than a generic translation — but it is your work, not ours, and we are not going to pretend otherwise.

Four sites, a school-based clinic and a mobile unit

Picture a health center with four fixed sites, a school-based clinic and a mobile unit, and a registration supervisor who has been trying to standardise the intake packet for two years. When she finally audits it, the count is eleven live variants. Two still ask for a Social Security number that policy stopped requiring. One carries a fax number on the header that was disconnected long ago. The school site's version omits the emergency contact field entirely, which nobody noticed until the afternoon it was needed. Standardising all eleven today means reprinting, redistributing, retraining and hoping — and then doing the whole thing again the next time a question changes. With one published form, that same afternoon looks different. She edits the master, removes the Social Security field, fixes the header, puts emergency contact back, and republishes. Every site's link points at the new version immediately, and the PDF each site prints regenerates from it. The audit that took two years to complete becomes a change that takes an hour, which is the difference between standardising once and staying standardised.

Feedback that tells you which site, and review requests that treat every patient the same

A health center usually knows its overall satisfaction is fine. What it needs to know is that Tuesday afternoons at one particular site are not, and no single number will ever tell it that. Patient surveys go out after a visit carrying the location with them, so feedback workflows can be read by site, by service line and over time rather than as one average that hides the exact thing you would have fixed. Roll-up reporting across locations sits on the planned list rather than the shipped one, and we are not going to describe it as more than that. Free-text answers stay with the health center and are never republished anywhere public. Neutral review requests work the same way everywhere: each location typically has its own Google profile, and every eligible patient at every site receives an identical invitation regardless of how they answered a survey, what a staff member thinks they would say, or which site they attended. No gating, no filtering, no incentives, and nothing a patient wrote privately is ever copied into a public review.

What is available, what is planned, and what DocRepute will not claim

Health centers buy carefully and are right to, so here is the matrix in plain terms. Available: build, edit and publish forms and standard surveys at no cost, with 50 action credits a month, a credit spent only when a patient completes a regular intake submission or a standard survey. At health center volumes that is a pilot at one site rather than a rollout, and it is meant to be — it exists so you can prove the workflow before anyone signs anything. There is no AI on the free tier. Paid plans add AI intake that follows questions you have approved, conversational surveys, and sentiment and topic analysis for staff to review. Planned: native SMS invitations and reminders, and location roll-up reporting. Not supported, and not being implied: DocRepute ships no translated form library, performs no sliding fee calculation and makes no eligibility determination, provides no social-needs screening instrument, does not schedule, is not an EHR and does not write to one, and produces no funder, grant or program reporting. We also publish no customer counts, uptime figures, security certifications or deployment numbers — at pre-launch we do not have them, and inventing them would be the fastest possible way to waste your procurement team's time.

Where the judgement stays, and how we would like to build this with you

Everything on an intake form here is patient-reported and recorded as given. The form does not determine eligibility for anything, does not assess need, does not diagnose and does not decide what a patient qualifies for — those are determinations your own staff make under your own policies, and no vendor should sit in front of them. DocRepute is HIPAA-focused and built for HIPAA-compliant workflows, with BAA availability planned at launch; where a privacy rule matters to a decision you are making, take the current guidance from HHS rather than from any vendor page, this one included. That is the honest frame for everything above. DocRepute is pre-launch, the multi-site work is being designed right now, and health centers are precisely the organisations we want in the room while it happens — because a workflow that survives four sites, a school clinic and a mobile unit will survive anything. If you run registration across more than one site, join early access as a design partner and tell us what your eleven variants look like.

Official sources

Where an authority publishes its own form or guidance, take the current version from them rather than from any template library, including this one.

Get early access

Be first to use DocRepute when it launches — including AI intake and conversational surveys on paid plans.

  • Free to start — 50 action credits a month
  • Building and publishing forms uses none of them
  • No card, and no sales call booked

No spam, ever. Unsubscribe anytime.

Frequently Asked Questions

For a multi-site health center, the first thing it does is end version drift. One intake form lives at one address, is edited once and republished, and every site — fixed, school-based or mobile — is on the same version the same afternoon, with the printed PDF regenerating from it so paper and screen finally match. Beyond that it collects patient-reported information before or at the visit, presents it typed and structured for registration staff, and carries surveys and neutral review requests afterwards. It is administrative only: it makes no eligibility, program or clinical determination of any kind.

View raw text version for AI/LLMs