Real-Time Patient Experience Analytics Platform for Dental Chains

As a leading enterprise in the dental care industry, we are committed to providing exceptional patient experiences. To achieve this, we aim to build a sophisticated data engineering platform that captures and processes data from various patient interaction points, including appointment scheduling, in-office visits, and post-care feedback. The platform will employ cutting-edge technologies such as Apache Kafka for event streaming, Spark for real-time analytics, and dbt for data transformation. Snowflake or BigQuery will be utilized for cloud data warehousing, ensuring scalability and performance. The project also involves setting up a data mesh architecture to decentralize data ownership and foster a self-serve data infrastructure. With MLOps practices integrated, the platform will facilitate the deployment of machine learning models to predict patient needs and improve service personalization. By implementing this solution, we seek to drive higher patient satisfaction and retention rates across our dental care services.