Stop reading patient feedback manually. Start acting on it.
NHS data teams spend hours reading through patient survey responses. By the time patterns are identified, the opportunity to act has often passed. NHS Sentiment Assistant changes that. It analyses hundreds of survey responses in seconds, surfaces what matters, and gives your team time back to focus on improving patient care.
Do any of these sound familiar?
Patient feedback should drive service improvement. In practice, most NHS data teams are still stuck reading through responses line by line, building manual spreadsheet summaries, and trying to spot patterns that should be obvious.
You have survey data. You don't have time to read it.
The Problem
NHS Trusts run Friends and Family Tests, national patient surveys, and service-specific feedback programmes simultaneously. The volume of free-text responses is significant. One acute Trust can receive thousands of comments per month across specialties, sites, and care pathways.
The Solution
Your data team is capable of serious analysis. But they can't do serious analysis while they're still reading comments. NHS Sentiment Assistant processes your entire response dataset automatically, classifies each response by sentiment, and delivers summarised findings in seconds. Your team moves straight to the insight.
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You can see the data, but you can't see the pattern.
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The Problem
A complaint about waiting times in one specialty might look isolated. But when the same issue appears across four departments and three sites over six weeks, it's a systemic problem. The challenge is that spotting that pattern manually requires time, consistency, and a single view of all responses.
The Solution
NHS Sentiment Assistant analyses feedback across specialties, directorates, and locations at once. It identifies recurring themes and flags emerging risks before they escalate. If the same issue keeps surfacing, the tool finds it, whether it appears in 10 responses or 1,000.
Your analysis is backward-looking by the time it's done.
The Problem
Most NHS organisations review patient feedback on a monthly or quarterly cycle. By the time responses are read, summarised, and shared, the care episode that generated the feedback is weeks old. Acting on it requires tracing back through systems that may no longer reflect current demand.
The Solution
With NHS Sentiment Assistant, sentiment analysis runs in real time against your Snowflake data or a direct CSV upload. You can filter by date range and track how sentiment changes week on week. You stop describing what happened last quarter and start responding to what is happening now.
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