Real-Time Patient Insights and Decision Support System for Dental Care

Our startup is seeking a skilled data engineer to design and implement a real-time patient insights and decision support system tailored for dental care practices. The core objective is to enhance patient outcomes and streamline operations by providing actionable insights from data collected across multiple touchpoints within a dental practice. We intend to leverage technologies such as Apache Kafka for event streaming, Airflow for workflow management, and Snowflake for scalable data warehousing. The system will integrate with existing practice management software to collect data, which will be processed using Spark and dbt for transformation and analytics. Our solution must also incorporate MLOps to ensure continuous integration of machine learning models that predict patient needs and optimize appointment scheduling. This initiative aims to differentiate our services through superior data-driven care, ensuring compliance and improving patient satisfaction.