Summary

This project aims to leverage advanced analytics and visualization techniques to extract meaningful insights from healthcare data within a Cerner environment. By harnessing the power of data, we will enable data-driven decision-making, improve operational efficiency, and enhance patient care.

Key Objectives

1. Data Integration and Modeling:
• Seamlessly integrate diverse healthcare data sources, including All Scripts SCM, Infinity databases, and Cerner Health Analytics/Population Health platforms.
• Develop robust data models that accurately represent complex healthcare concepts and relationships.
• Ensure data quality and consistency through rigorous data cleaning and validation processes.
2. Advanced Analytics:
• Utilize SQL or other programming languages to perform sophisticated data analysis and query optimization.
• Employ statistical techniques and machine learning algorithms to uncover hidden patterns and trends.
• Develop predictive models to forecast future trends and identify potential risks.
3. Data Visualization:
• Create interactive dashboards and visualizations using industry-leading tools like Tableau and PowerBI.
• Design clear and intuitive visualizations that effectively communicate insights to both clinical and technical audiences.
• Tailor visualizations to specific user needs, ensuring easy interpretation and actionable insights.

Required Skills and Experience

• Cerner Expertise: Proven experience working with Cerner systems, including deep understanding of data structures, APIs, and integration techniques.
• Data Modeling and Querying: Proficiency in data modeling concepts and SQL programming for efficient data extraction and analysis.
• Analytics and Visualization: Expertise in utilizing advanced analytics techniques and data visualization tools to uncover actionable insights.
• Healthcare Domain Knowledge: Strong understanding of healthcare concepts, including clinical, administrative, and financial data.
• Communication Skills: Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.