58%

Increase in Patient Engagement Scores

76%

Improvement in Sentiment Analysis Accuracy

63%

Growth in Decision-Making Efficiency

49%

Rise in Patient Retention Rates

This patient engagement analytics dashboard helps healthcare providers and patient experience teams see how patients interact with care. It uses sentiment analysis to assess behaviors and emotional cues, and it writes automated narratives that explain what changed. Teams use it to refine engagement strategy. Infocepts built it on Power BI.

What problem did this dashboard by Infocepts solve for the patient experience team?

A periodic satisfaction survey shows engagement problems late, and reading every patient note is not practical. Infocepts built a dashboard that applies sentiment analysis to patient communications and interactions. The language capability comes from its artificial intelligence work, so teams can act on trends instead of individual notes.

What does the patient engagement dashboard track?

It tracks patient engagement scores, sentiment, and behavior signals across a patient population. Automated narrative generation writes a plain language summary of what the data shows, so staff do not have to interpret raw charts. Visualizations highlight trends and show opportunities to improve patient interactions.

Who uses patient engagement dashboards in healthcare organizations and how?

Healthcare providers use them to refine engagement strategy across a patient population. Patient experience teams watch sentiment trends and decide where to follow up. Clinical and admin staff read the automated narratives to see what changed. The dashboard works as an engagement and experience layer and does not replace clinical systems.

What business impact did the patient experience team see after rollout?

Reported results include a 58% increase in patient engagement scores and a 49% rise in patient retention rates. It also lists a 63% growth in decision making efficiency and a 76% improvement in sentiment analysis accuracy.

Key metrics: patient engagement scores, sentiment analysis accuracy, patient retention rates, and decision making efficiency.

Explore more examples in the Life Sciences section, see the medication adherence analytics dashboard, or review the healthcare performance analytics dashboard.

Want a patient engagement dashboard for your organization? Talk to our team about what to track and how to build it.

Frequently asked questions

Patient engagement analytics measures how patients interact with a care organization, using behavior and sentiment signals. It lets teams see disengagement or unmet needs earlier than a periodic survey would. The focus is engagement and experience, not an individual patient’s clinical record.

It analyzes patient communications and interactions for emotional cues, then summarizes the trends. A care team can then act on a pattern instead of reading every note one by one. People who know the context should still review what the trends suggest before changing how they engage patients.

It automatically writes a plain language summary of what the data shows. Staff read the summary rather than interpreting raw charts to work out what changed. That helps clinical and admin teams who need the story behind a trend but do not have time to analyze every chart.

Match the refresh to how often the team acts. Patient experience teams that follow up on sentiment shifts need frequent updates. Monthly strategy reviews can use a slower cadence. Faster refresh costs more, and it only helps if someone is ready to respond when the numbers move.

Infocepts builds the sentiment and natural language capability as part of its AI work, then connects it to the BI layer that presents the results. Start with the engagement questions the team asks, then design the views around them. This runs through data product design, so staff can read it quickly.

The dashboard writes automated narratives for patient engagement trends. Decision360 is the Infocepts managed analytics platform for business users. It uses natural language processing to deliver automated insights in plain language and suggests follow up questions. It is a wider platform. This dashboard is a focused engagement view.