Real-time Patient Monitoring and Analytics Platform Development

As a rapidly growing digital health company, we are focused on enhancing patient care through innovative data solutions. We aim to build a real-time patient monitoring and analytics platform that consolidates data from wearable devices, EMRs, and IoT-enabled health equipment. The objective is to provide healthcare providers with actionable insights and predictive analytics that facilitate timely interventions. The project involves creating a data pipeline using Apache Kafka for event streaming and managing data flows. Spark will be utilized for fast data processing, while Airflow will orchestrate complex workflows. dbt will manage transformations, and the resulting insights will be stored in Snowflake or BigQuery for easy access and analysis. The platform will ensure high data observability and compliance with healthcare regulations. By offering a reliable and scalable solution, we aim to empower healthcare providers with the tools needed to improve patient outcomes and operational efficiency.