Make the Next Step Clear
What one U.S. hospital’s communication strengths teach us about making care understandable.
Patients can leave an appointment with information and still feel uncertain about what happens next. At one U.S. hospital in our sample, communication stands out in the positive feedback: people describe explanations they could understand, questions they could ask, and a clearer sense of the plan. Those accounts suggest practical habits a hospital team can build into everyday care.
The hospital, anonymised here as Hospital A, has communication praise in 26 of 104 labeled reviews from 2023–2025. That is 25.0%, compared with 8.2% across other listings in the same Google category. The difference remains when we compare only positive ratings and when we restrict those positive accounts to longer texts.
The useful lesson lies in what the praise describes. A patient explains that staff made the course of treatment understandable. Another describes questions being answered while their comfort received attention. A third describes leaving a discussion about the care plan feeling more relieved than on arrival. These are de-identified paraphrases of separate accounts.
They point to a practical purpose for communication: help a person understand the situation, participate in it, and know what comes next. A hospital can use that purpose to choose a specific improvement and assess whether patients notice a difference.
This exploratory case uses sampled public feedback. Its benchmark contains 26,561 labeled reviews at other listings categorised as hospitals, with differences in services and patient populations still unresolved. The case identifies reported strengths and practices to test.
Find a strength specific enough to learn from
Hospital A’s higher average rating would be an incomplete reason to study its communication. A hospital receiving more positive feedback has more opportunities to receive praise of every kind. The more useful question is whether communication remains distinctive among accounts that are already favorable.
It does. Among 4–5-star reviews, 26.8% at Hospital A praise communication, compared with 12.5% at other hospital-category listings. Among those positive reviews containing at least 25 words, the shares are 43.2% and 16.7%. The longer-text comparison matters because a brief endorsement offers less room to describe an explanation or a conversation.
Communication remains a distinctive source of praise in favorable accounts Share of each group’s labeled sampled reviews praising communication, 2023–2025. The upper bar in each pair is Hospital A; the lower bar is other hospital-category listings. Counts beneath each percentage show the numerator and denominator.
All labeled reviews
Only 4–5-star reviews
Only 4–5-star reviews with at least 25 words
Reviews praising communication (%)
Source: frozen review and topic-label files. Each review counts once. The three comparisons overlap; they do not represent independent samples. Other listings share a platform category, with differences in services and patient populations still unresolved.
The gap also appears in each of the three years. It gives us a consistent reason to examine the accounts closely, though it cannot explain why the difference exists. Specialty care, expectations, and who chooses to contribute may still matter.
For a hospital learning from a positive example, this is a useful starting rule: choose a particular strength, then identify the behaviours behind it. A broad instruction to emulate a highly rated hospital leaves a team with little to change. Explanations, opportunities for questions, and understandable plans are more specific subjects for improvement.
Explain the step the patient is about to take
In a manual reading of all 26 communication-positive accounts, 13 describe explanations of steps, procedures, results or the care plan. The situations differ, but the recurring value is being able to follow what is happening.
One account describes explanations across the course of care. Another describes understanding what was happening and what would happen next. A further account describes a discussion that produced a plan for the months ahead. These examples locate communication at particular moments when a patient needs to make sense of the experience.
The practical learning is to build explanations into transitions. Moving to a test, waiting for results, or leaving with follow-up arrangements each creates a new question for the patient. A team could choose one transition and make three things explicit: the immediate next step, what the patient needs to do, and where to take an unanswered question.
That is a proposed application of the accounts, rather than a verified Hospital A protocol. Its value can be tested directly: after the transition, can the patient explain what happens next? If people remain uncertain, the team has a specific communication gap to address, even when the appointment ran on time.
Make understanding part of the conversation
Four accounts explicitly praise explanations in language the person could understand. Their point is more specific than receiving information: the explanation made sense to the recipient.
Fifteen accounts describe answers to questions or listening to concerns and preferences. These groups overlap with the explanations above. Together, they suggest a conversation in which patients can contribute what they need clarified, as well as hear what staff need to tell them.
For a service lead, the practical question is whether the patient leaves with an understandable plan and space to resolve uncertainty. A team could invite the person’s remaining questions and ask them to describe the next step in their own words. That would make a misunderstanding visible while there is still an opportunity to clarify it.
The appropriate local measure is therefore patient understanding. Counting completed explanations would document an activity; checking whether people can describe the plan would test whether it served its purpose. Both may be useful, but they answer different questions.
Look for the experience an explanation supports
Six of the 26 accounts describe comfort, ease, relief, feeling heard, or not feeling rushed. One combines answered questions with attention to physical and emotional comfort. Another describes relief after discussing the plan. These accounts connect information with how the person experienced the encounter.
That connection gives communication a possible role across several areas of patient experience. An explanation of a delay could help someone understand the wait. A clear discussion at discharge could help them understand follow-up. Time to raise concerns could help someone feel heard.
These are hypotheses a hospital could test. The case does not show that explanations shortened waits, reduced anxiety on a measured scale, or prevented follow-up problems. The topic comparisons also provide no evidence of a general improvement in bedside-manner praise alongside communication praise.
The useful distinction is between a shared account and a demonstrated improvement. We can observe that some people describe explanations alongside relief or comfort. To learn whether changing a communication practice improves those experiences, a hospital needs a defined change and measures before and after it, with a suitable comparison where possible.
For waiting, that means tracking both the time elapsed and whether people understood the delay and the next update. For discharge, it means checking both completion of the process and understanding of the follow-up plan. An improvement in either experience should be described in terms of what was actually measured.
Start with one transition and a clear test
The case gives a hospital team a manageable place to begin: one service, one transition, and one patient need that is currently unclear. The goal is to make that part of care easier to understand.
| Place to start | Practice to test | Evidence that would show whether it helped |
|---|---|---|
| Before a test or procedure | Explain the immediate next step and invite questions | Whether patients understand what happens next and report unresolved questions |
| During a delay | Explain what is known and agree when the next update will come | Whether patients felt informed, alongside the actual waiting time |
| At discharge or follow-up planning | Discuss the plan in plain language and check understanding | Whether patients can describe their next action and know where to seek clarification |
These applications extend the needs described in the case; the study has not evaluated them. A bounded pilot should record when the practice changed and compare similar services and periods. Patient feedback can then sit alongside operational records and a short, consistent check of understanding. Changes in review volume or service mix also need attention before an improved public rating is treated as evidence of success.
Hospital A’s contribution is a concrete example of what people value in communication: explanations that make sense, questions that receive attention, and a plan they can follow. Another hospital can use those needs to choose a practice, give it an owner, and test whether patients leave the selected transition better informed.
Data, case selection and supporting checks
Source and units. The wider study contains 217,343 sampled Google reviews from 2019 to early June 2026. Of these, 196,183 have at least one topic label passing four mechanical validity checks and a recognised sentiment value. This article uses complete calendar years 2023–2025. A communication-positive flag records at least one valid positive label for “Communication and information sharing.” Each listing-plus-review key counts once; repeated statements do not increase its weight in the displayed percentages.
Case and benchmark. Hospital A was selected after exploring 22 listings categorised as Hospital, General hospital or University hospital with at least 100 labeled reviews in the selected period, followed by closer reading of several candidates. It had the highest communication-praise share in that eligible set. Selection used the same data as the comparison, so this is an exploratory example, not a validated performance ranking. The benchmark excludes Hospital A and contains 26,561 labeled reviews across 2,075 listings with the exact Google category “Hospital,” matching its platform category. Listings can combine inpatient, outpatient and specialty encounters; category matching does not equalise service mix or patient characteristics.
Sensitivity checks. Communication praise appears in 6/36, 13/42 and 7/26 case reviews in 2023, 2024 and 2025, respectively. The corresponding benchmark shares are 524/7,452, 639/7,977 and 1,016/11,132. Sampling weights yield rates of 25.0% at Hospital A and 8.6% in the benchmark. Giving peer rates Hospital A’s exact rating and three review-length-bin composition yields an expected 9.9%, compared with 25.0% observed. These checks address particular aspects of the comparison; they do not remove review self-selection or establish a causal difference. Service-specific case counts are too small to resolve service mix.
Reading the accounts. All 26 communication-positive case accounts were read and conservatively coded for recurring behaviours and experiences. Categories overlap. Thirteen describe explanations of steps, procedures, results or the plan; 15 describe answers or listening; four explicitly praise understandable language; six mention comfort, ease, relief, being heard or not feeling rushed; two explicitly include family in updates or answers. This reading covers a model-selected case subset, not an independent audit of the full labeling dataset. The same behaviours have not yet been coded in a matched peer sample, so their comparative prevalence is unknown.
Other-topic overlap. Bedside-manner praise appears in 11 of the 26 communication-positive accounts and 41 of the other 78 accounts. Its rate is therefore not higher in the communication-positive group. This descriptive overlap does not establish a beneficial or harmful communication effect; differences in what people emphasise and how statements are classified may matter.
Interpretation and anonymity. Labels describe the text accompanying a rating. Mechanical checks establish source matching, not human agreement with every classification. Public contributors are self-selected and are not a representative patient survey. No intervention date, staff protocol, measured anxiety, waiting records or clinical outcomes were established for Hospital A. Recommendations are proposed local applications. Patient examples are paraphrased with identifying details removed; none is a quotation or a composite presented as an observed account.
Download the anonymous aggregate evidence. The broader hospital analysis examines strengths and recurring friction across the full sample; the topic-pair analysis examines which subjects appear together.