Leverage Data Analytics & AI to achieve a single view of the patient, gain patient intelligence and build a patient recommendation engine for improving overall healthcare delivery.
Data Discovery is the first step to analyzing and extracting actionable insights from data that help enhance decision-making and deliver better customer service. Are you ready to tap the full potential of your data and leverage it for your business growth?
We are conducting a personalized workshop where our experts will answer your questions related to your data initiatives and help you develop a three-pronged approach to efficient data discovery. We can also enable you to deploy Single view of patient, Patient Intelligence Framework, or Recommendation Engines that helps you grow your business.
To Improve Patient Experience and Engagement
Using AI algorithms capable of learning and drawing inferences from complex data, the healthcare sector today is delivering highly personalized services to patients through meaningful and actionable insights.
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:
To achieve these results, you need a robust data platform built on a world-class data discovery process that involves gathering data from disparate systems and locations as the preliminary step to deriving meaningful and actionable insights.
You can also download this Data Discovery whitepaper that our solution team has put together.
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.