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The Problem:
The Problem:
Healthcare systems generate large amounts of clinical data, but patient experience is often poorly captured and difficult to analyze. Feedback about trust, communication, and access is frequently fragmented or inconsistent.
Without structured analysis of this information, systemic barriers in healthcare can remain hidden and difficult to address.
Our Approach:
Our Approach:
The EquityMetrics Project collects anonymous patient feedback and applies statistical analysis to identify patterns in non clinical healthcare factors such as trust, advocacy, communication, and access.
By clustering patient responses into key themes, the platform helps clinics better understand patient experience and identify areas where care delivery can be improved.
How it Works:
How it Works:
1) Patient Survey
1) Patient Survey
Patients complete a short anonymous survey about their healthcare experience.
2) Data Analysis
2) Data Analysis
Responses are analyzed using statistical models to identify patterns and themes.
3) Insights for Clinics
3) Insights for Clinics
Participating clinics receive a report highlighting key areas for improvement.
Ready to Get Started?
Ready to Get Started?
Click Below to Sign Up for our Pilot:
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