Strategy · For healthcare practices

The Digital Front DoorHow healthcare practices win patients before the phone rings

Before a patient calls, they have already searched, compared reviews and checked your hours. Here are the five places that decision happens, how to tell whether yours are working, and why a strong average can hide the one thing sending patients elsewhere.

Most patients choose a practice before they ever pick up the phone. They search, look at the map, compare a few star ratings, check whether you’re open, and maybe ask ChatGPT for a recommendation. For a group with many offices, that happens thousands of times a month, across hundreds of listings and pages that different people, vendors and agencies maintain.

We call all of that the digital front door: everything a patient sees about your practice before they call. Most groups have never seen theirs in one place. Their agency reports traffic and rankings; nobody reports whether the hours on Google match the hours on the door.

This article explains how Vistamar checks the digital front door: the five questions every patient is quietly asking, how we turn the answers into a score and a grade, and what we deliberately leave out.

Five questions a patient is asking

We organize everything into five cards, one for each place a patient makes up their mind. Each answers a question the patient would recognize.

• SearchCan patients find you?Whether each office appears in Google’s map results and on the first page when people nearby search for the care you provide.
• Google profilesIs what Google shows about you right?Every office and clinician has its own listing, shown as open, with the correct address and hours.
• ReviewsDo your reviews reassure?How your rating compares with the practices patients are weighing you against, whether reviews are recent, and whether unhappy patients get a reply.
• WebsiteDoes your website work for patients and for machines?Pages load quickly, and each location and doctor is described in the structured format that search engines and AI assistants read.
• AI answersDo AI assistants recommend you?Whether ChatGPT and Gemini name your practice and your doctors when someone asks them for one.

A score, a grade, and a short list

Each card gets a score from 0 to 100. It reflects the share of checks the practice meets, weighted toward what matters most to a patient trying to reach you.

The grade follows the score: Strong at 80 or more, Fair from 60 to 79, Weak under 60. Nothing overrides it. Under the score, each card lists the checks that fall short, so a good score never hides a gap. A check met by fewer than half of the offices is marked Priority. One met by half to four in five is marked Needs attention. An office missing from the map, a listing for an office that has closed, hours on Google that differ from the website, complaints left without a reply: each shows up on that list by name, with a count.

The score tells you how much is in place. The list tells you what to fix first.

How we measure

We measure from the outside, the way a patient experiences the practice.

• Searches are run from each office’s own neighborhood, not from headquarters, because that is where its patients search.
• Each office is compared with the competitors that appear in its own market, not with a national average.
• We read the website’s underlying code, as search engines and AI assistants do, not just the page a visitor sees.
• AI assistants are asked the same question more than once, because their answers change from one asking to the next. We treat that card as indicative.
• We use only publicly visible information, and we follow each website’s instructions about which pages automated tools may read.

What we publish, and what we keep

We publish the questions, the checks and the grading rule, because a method nobody can inspect is not worth much. We do not publish the weights, the thresholds, or the exact searches and questions we run.

There are two reasons. The first is Goodhart’s law: when a measure becomes a target, it stops being a good measure. A score that can be tuned to the formula soon stops describing what patients experience. The second is that the calibration is where our experience lives, and we keep adjusting it as search and AI change. Credit scores work the same way: the factors are public, the formula is not.

The questions are public. The calibration is our craft.

What the score does not tell you

• It does not count patients or revenue. Public information cannot show how many people called, booked or arrived.
• It is a snapshot. Rankings move by location and by day, so every reading is dated.
• It describes; it does not explain. A weak card shows where patients run into trouble. It does not, on its own, explain a change in volume.

For the practices we work with, we connect the same five cards to Google Analytics, Search Console, call tracking, online scheduling and appointment data, so each measure sits beside the outcomes it is meant to support. That is a much fuller picture than any outside view can give.