If you are planning to embark on this journey of leveraging data analytics and AI in your healthcare business or have already started and need help along the way, look no further. Reach out to us!
To Improve Patient Experience and Engagement
AI-powered patient Intelligence framework can help healthcare providers achieve:
KANINI’s Patient Recommendation Engine framework can significantly improve customer experience, revenues, and engagement. It can help you:
Map medical codes with the identified key phrases of EHR accurately
Help patients with suitable hospital and doctor recommendations
Streamline appointments and resolve patient queries with a health chatbot
Manage healthcare services better and improve patient experience
Save costs by reducing the time and effort in claims processing
Based on the symptoms selected by the user, the ML recommendation engine recommends the top three hospitals and upon selecting one of those three hospitals, it recommends the top three doctors, and after selecting one of those three recommended doctors, the engine recommends the time slots that have the least probability of patient no-shows.
In the client’s current system, call center agents were answering all user queries over the phone. The client was looking for an agent-based chat system to handle patients’ queries efficiently. They were ready to implement a health bot.
Azure health bot provides a framework that is easy to integrate, with minimal configuration and code, with the client’s existing systems.
Saved costs by cutting down claims processing time and efforts.