What Patients Look for in Reviews Before Choosing a Provider in 2026
Most practices keep a close eye on their star average. It’s the number on the dashboard and the first thing that shows up next to a practice’s name in search. But the average usually isn’t the whole story. Once patients have a short list, they’re likely to lean on a handful of written reviews, and they may look for someone who had the kind of visit they’re about to have.
In 2026, reputation management also has to account for where patients see those reviews. Patients see reviews in search results, on business listings, and in AI-generated summaries, often before they click through to a practice’s website.
We’ll look at what research says about how patients read reviews, how much the star rating still matters, where recency, responses, and AI search come in, and what to track besides your star average, whether you run one dental or eye care office or several.
What do patients read in reviews before they book?
Most patients give the first few reviews they see more attention than the ones further down the page.
A 2020 JMIR systematic review of physician-rating website data quality found that readers pay more attention to initial reviews than to later ones, so whatever sits at the top shapes the first impression.
A dental patient in pain reads for wait times, same-day openings, and whether anyone mentions cost. Those are the same worries that keep people away from the dentist in the first place. The American Dental Association’s Health Policy Institute research lists affordability, fear, and trouble finding a convenient location or appointment time among the top reasons adults avoid the dentist.
An optical patient reads for different things, like frame selection, help choosing lenses, how insurance was handled, and whether the optometrist took time with questions. To see where those reviews start, read How Patient Communication Shapes Online Reviews and Reputation Management.
How far a strong star rating gets you
A good rating can get you onto a patient’s short list, and once you’re on it, the written reviews are likely what patients lean on.
In a 2018 controlled experiment published in JMIR, 1,000 U.S. participants chose between hypothetical primary care physicians, and moving a physician from two stars to four sharply raised the odds of being picked.
The 2020 JMIR systematic review notes that the difference between a 4.8- and a 4.9-star rating may be too small to mean much to a patient. What a patient can picture is a reviewer saying the dentist walked them through the treatment plan, or that the optometrist explained why their prescription changed.
For your practice, the number of reviews and what patients say in them deserve more of your attention than another tenth of a star.
Why do recent reviews matter?
A review tells patients what your office was like when it was written, and an eighteen-month-old review may describe a front desk team or provider lineup you don’t have anymore.
If your office hired a new manager last spring and added Saturday hours, a review from before that change may still tell patients they’ll wait three weeks for an appointment. A dental patient with a broken filling wants to know whether you can see them this week, and an optical patient comparing practices wants to know what the frame selection looks like now.
In a 2015 randomized experiment published in JMIR, 168 participants viewed reviews of a fictitious dentist, and a higher number of reviews improved how they judged that dentist in both factual and emotional review styles. The study tested review count and style rather than recency, but in practice, a steady flow of recent reviews gives patients more current information than a large batch from one month last year.
If one of your offices changed staff or hours, check whether its newest reviews describe the practice it is today.
What a review response tells the next patient
A reply can help, but the evidence that it changes a patient’s decision is thinner than many marketing claims suggest.
A 2024 JMIR experimental study of 459 people in China found that participants were more likely to consider choosing a physician who responded to negative reviews. They were choosing on a mock website, though, so the study measured intentions rather than actual appointments.
A reader checks whether you answered the complaint in front of them or pasted the same apology under every review.
If a dental patient wrote that their crown took three visits, a reply that mentions the delay tells the next reader someone at your office read it. If an optical patient says their insurance estimate was off, a reply that offers to sort it out shows the next reader that the office follows up.
If you manage several locations, watch for copy and paste. When the same three sentences show up under reviews for five different offices, patients read it as a corporate voice instead of the local team they’d be seeing. For more on building a review process every location can follow, read A Practical Guide to Healthcare Reputation Management for Multi-Location Groups.
How AI search is changing who reads your reviews
Before a patient reads a single review, an AI summary may have already told them what your reviews say. AI-written review summaries are starting to appear on map and business listings. How much these summaries influence which provider a patient picks is still an open question, so treat this as a shift to watch.
If dozens of recent reviews for your dental office mention a gentle hygienist and a front desk that found a same-week opening, that’s likely what a summary will repeat. For an optical practice, it might be the frame selection, help with vision insurance, or exams that didn’t feel rushed.
You can’t control which reviews an AI tool picks up, but you can read your reviews the way a summary would and look for what keeps repeating, office by office if you run more than one.
How Solutionreach Helps
Solutionreach’s reputation management solutions automatically categorize your reviews and analyze sentiment, so you can see which themes keep coming up in what patients say about your practice. Those are the kinds of patterns an AI summary is likely to pick up.
Explore Solutionreach review sentiment analysis
Why a strong group reputation can hide your weakest location
Patients may compare your locations against each other, and a strong group average can hide the one office pulling the others down.
For example, if you oversee two dental offices in the same area, one may get reviews about a dentist who explained everything and a team that put nervous patients at ease. The other may get reviews about calls going to voicemail and appointments pushed back twice. Your group rating looks fine, but a patient choosing between those two offices can see the difference.
Eye care groups can run into the same thing, with one office praised for thorough exams and patient opticians while another draws complaints about insurance estimates and glasses that took weeks to arrive.
A 2020 JMIR observational study of 212,933 providers found that ratings for the physician and ratings for the office staff can differ, even though patients barely distinguish among individual aspects of physician care. The study didn’t compare locations, but that split helps explain how an office can earn strong reviews for its doctors and weak ones for its front desk at the same time.
For enterprise groups, that makes reviews a location-level operations signal. When complaints about scheduling, staffing, or phones pile up at one office, there’s often an operational cause at that site, and the group average may not show it.
How Solutionreach Helps
With Solutionreach, you can see reviews for every location in one place. When one site starts drawing complaints about scheduling or the front desk, you’ll see it without checking each listing separately.
Explore Solutionreach multi-location review management
What to measure instead of your star average
Measure how recent your reviews are, how many came in over the last 90 days, which themes keep repeating, how different the feedback is from one location to the next, and whether complaints are about clinical care or the front office.
A simple first step in patient review management is to count your reviews from the past 90 days and check when the latest were posted. A dental office might find most complaints are about getting an appointment. An optical practice might find them clustered around eyewear orders that ran late.
Keep clinical praise and front office complaints separate. Patients can love your dentist or optometrist and still be frustrated with check-in, and those two problems have different fixes.
This week, pull up your lowest-rated location and read its last ten reviews. If you run one office, read your ten most recent. Name the complaint that shows up most, then look for it in older reviews, and if it keeps coming back, it’s pointing at something in how the office runs. A star average hides that kind of pattern, while your reviews keep a running record of what your operations produce every day.
Keeping up with those patterns gets harder as new reviews come in, and harder still with every location you add. Solutionreach’s reputation management solutions track feedback trends for you.
Explore Solutionreach reputation management
What your reviews tell patients before they call
- Patients focus on the first few reviews they see, likely looking for someone with their own problem.
- Going from two stars to four can change who patients pick, and after that, what reviewers write is likely what they lean on.
- Reviews from before a staffing or schedule change can steer patients wrong.
- AI summaries tend to repeat whatever patients mention most.
- With several offices, read reviews location by location, since a group average can hide the one that’s struggling.
Frequently asked questions about online patient reviews
What is healthcare reputation management?
Healthcare reputation management is how your practice keeps track of and responds to what patients say about it online, including star ratings and online patient reviews. It also includes keeping your business listings accurate, since that’s often where patients see your reviews first.
How many reviews are enough?
There’s no set number. More reviews tend to make people view a provider more favorably, but if most of yours are two years old, they won’t tell a patient much about your office today.
How recent do they need to be?
Ideally, they describe the office a patient would walk into today. Watch the last 90 days most closely, since anything older than a year or so may describe staff or hours you’ve since changed.
Do patients read responses?
They can, since your reply sits right below the complaint they’re reading. If it deals with their specific problem, it shows the office is paying attention. The same pasted apology under every review does the opposite, though research on how much replies change a patient’s choice is still limited.
How does AI search use reviews?
AI Overviews and chat assistants can pull common themes from public reviews and boil them down to a few lines. Which reviews they draw from varies, so there’s no guarantee every review gets represented.
