Development of a Real-time Data Platform for Healthcare Decision Support

Medium Priority
Data Engineering
Health Tech
👁️14365 views
💬1004 quotes
$50k - $150k
Timeline: 16-24 weeks

We are seeking a skilled data engineering team to develop a real-time data platform to enhance decision support systems within our healthcare facilities. The platform will leverage cutting-edge technologies to provide immediate insights, optimize patient care, and streamline operations across our extensive network. This initiative aims to integrate various data sources, enabling seamless data flow and advanced analytics for better clinical and administrative decision-making.

📋Project Details

As a leading enterprise in the health technology industry, we are embarking on a strategic project to develop a comprehensive real-time data platform. The objective is to enhance our decision support systems to enable more responsive and informed decision-making within our healthcare operations. The platform will integrate diverse data sources, including electronic health records (EHRs), IoT devices, and administrative databases, to provide real-time analytics and insights. By employing technologies such as Apache Kafka for event streaming, Spark for data processing, and Airflow for orchestration, the platform will ensure reliable data flow and processing. Additionally, leveraging dbt for data transformation, Snowflake as a data warehouse, and BigQuery for analytics, will allow us to handle large-scale data efficiently. Our long-term vision is to implement a data mesh architecture to decentralize data ownership and foster cross-functional collaboration. The integration of data observability and MLOps practices will further ensure data quality and operational efficiency. The successful completion of this project will significantly impact patient care quality, operational efficiency, and strategic decision-making capabilities.

Requirements

  • Proven experience in designing and implementing real-time data platforms
  • Familiarity with healthcare data standards and regulations
  • Expertise in data integration techniques and ETL processes

🛠️Skills Required

Data Engineering
Apache Kafka
Apache Spark
Airflow
dbt
Snowflake
BigQuery

📊Business Analysis

🎯Target Audience

Our target users include healthcare administrators, clinical staff, and IT professionals within our facilities who need real-time data insights to improve patient care and streamline operations.

⚠️Problem Statement

The current decision support systems lack real-time data integration and analytics capabilities, which limits our ability to make timely and informed decisions crucial for patient care and operational efficiency.

💰Payment Readiness

Our organization is prepared to invest in this solution due to the increasing regulatory pressures for real-time data availability in healthcare, and the need for competitive advantage through superior patient care and operational performance.

🚨Consequences

Failure to address this issue will result in continued inefficiencies, potential compliance issues, and a competitive disadvantage, ultimately impacting patient care quality and operational costs.

🔍Market Alternatives

Existing solutions are either siloed with limited real-time capabilities or too generic, lacking customization for our specific healthcare operations and needs.

Unique Selling Proposition

Our platform will uniquely integrate and process healthcare data in real-time, providing actionable insights tailored to our operational needs, thus setting a new standard for data-driven decision-making in healthcare.

📈Customer Acquisition Strategy

Our go-to-market strategy involves deploying the solution initially across our network of facilities, demonstrating its value through pilot projects, and leveraging success stories to expand and attract partnerships within the healthcare sector.

Project Stats

Posted:July 21, 2025
Budget:$50,000 - $150,000
Timeline:16-24 weeks
Priority:Medium Priority
👁️Views:14365
💬Quotes:1004

Interested in this project?