Patient Feedback & Sentiment Analysis – 2-Week AI Pilot

What We’ll Do

Week 1 – Setup & Data Preparation

• Gather and review all feedback sources such as surveys, call recordings, and online reviews.
• Configure Azure Text Analytics for sentiment analysis, key phrase extraction, and language detection.
• Set up secure and automated data pipelines using Power Automate or Azure Functions to streamline data collection.

Week 2 – Analysis & Visualization

• Process historical as well as live feedback to generate sentiment scores and insights.
• Design and build an interactive Power BI dashboard that provides real-time visibility into customer sentiment and key themes.
• Conduct a review session to walk through findings and share recommendations for business improvements.

Deliverables

• AI sentiment analysis MVP running on Azure that processes customer feedback.
• Power BI dashboard offering interactive real time insights.
• Recommendations for scaling the solution to full production use.

Duration

2 Weeks (10 business days)

Pricing

$2,400 USD – Fixed price for pilot project.
Scope limited to MVP; full integration with EHR/CRM available as an add-on.

Who Should Use This

• Hospitals, clinics, and telehealth providers to track patient satisfaction.
• Healthcare organizations to drive service improvements with data-driven insights.
• Administrators to gain real-time visibility into patient feedback.

Why iFour Technolab?

• 11+ years’ experience in healthcare technology & compliance-driven analytics.
• Expertise in HIPAA, GDPR, and ISO data handling.
• Proven success delivering AI pilots quickly and securely.

Conclusion

This 2-week AI pilot empowers healthcare providers to transform patient feedback into meaningful insights, improving satisfaction, service quality, and decision-making. With iFour Technolab’s expertise in AI, healthcare compliance, and rapid delivery, you gain a secure, scalable foundation for future innovation.

Patient Feedback & Sentiment Analysis pilot helps healthcare providers unlock actionable insights, enhance patient satisfaction, and drive data-driven improvements.