Skip to content
250 Hz

Patient signal

Reviews and reputation management for audiology practices

Reviews, without the HIPAA problem

Volume, recency and response, collected in a way that discloses no care.

What is included

  • A request flow reviewed against HIPAA marketing constraints before it goes live
  • Steady cadence rather than review bursts, which are visible and discounted
  • Response templates for praise, for a fair complaint, and for a review that is not yours
  • Provider-level and location-level monitoring
  • Quarterly read on review themes as clinical and operational feedback

How it is measured

  • Review velocity and recency, per location and per provider
  • Rating distribution, which matters more than the average
  • Response rate and response time
  • Recurring themes, read quarterly and handed back as operational feedback
Get Started

Every engagement starts with the SEO Audit: where your practice can be found today, and the order to fix it in. You keep it whether or not you continue.

Patient signal

Two illustrative profiles

Profile A

4.9from 14 reviews

New reviews each month, last twelve months

Reviews per month, oldest first: 0, 0, 9, 0, 0, 0, 5, 0, 0, 0, 0, 0.

Most recent
5 months ago
Responses
2 of 14 answered

A burst after a push, then silence. The average is excellent and the story underneath it is thin.

Profile B

4.9from 180 reviews

New reviews each month, last twelve months

Reviews per month, oldest first: 3, 4, 3, 5, 4, 3, 4, 4, 5, 3, 4, 4.

Most recent
4 days ago
Responses
Every review answered

A handful every month, every one answered. The same average, from a practice that is plainly still seeing people.

A 4.9 rating from 14 reviews tells a different story than a 4.9 rating from 180.

Presenting complaint

Reviews decide the map pack and they decide the phone call. Most review software works by confirming, in public, that a named person received care — which is the one thing a healthcare practice cannot do.

An older couple laughing together at home

Nobody here is named, and that is the point. The outcome is publishable; the patient is not.

Constraint

The constraint is the whole design

Generic review tools assume a restaurant: pull a customer list, send a request, thank someone publicly for coming in on Tuesday. At a hearing practice every one of those responses confirms that a named person is a patient.

So the flow is built backwards from that constraint: how the request is triggered, what it says, who it comes from, and what a response may and may not confirm.

Finding

Asked once, at the right moment

Patients in this field are unusually grateful. They need to be asked once, a week or two after the fitting rather than on the day, in a way that is easy to act on. A handful of reviews every month, indefinitely, is worth far more than twenty in a fortnight after a year of silence.

Protocol

Responding without disclosing

Every review gets a response, warm and confirming nothing. Thanking someone for kind words about the team is safe; referencing their appointment, their device or their hearing is not.

  • Praise: warm, brief, specific to the team rather than to the person's care
  • A fair complaint: acknowledge the feeling, move it to a phone number, confirm nothing
  • A review that is not yours: the reporting route, plus a public response that stays neutral
  • A review naming a clinician: handled at provider level, since it affects that provider's own profile

Questions

Questions about this piece

Is asking for reviews a HIPAA problem in itself?

Asking is not the problem; the disclosure risk sits in how the request is delivered and how responses are written. We build the flow around that, and your own compliance counsel should sign off before it goes live. We are not lawyers.

Can you remove a bad review?

Only where it genuinely violates platform policy, and that is rarer than anybody hopes. The realistic answer is to respond well and to out-publish it with steady recent reviews, which works better than it sounds.

Do you use incentives?

No. It violates platform terms, it is a regulatory problem in healthcare, and it produces reviews that read as bought. The ask is the whole mechanism.

What else do reviews tell you?

Read quarterly and in aggregate, they are the cheapest operational feedback a practice gets. Recurring themes about waiting, the front desk or how the price was explained are not marketing data, and they are usually the most useful thing in the report.