How Data Engineering Helps Health Systems Reach Their Most Critical Goals

HealthTech April 10, 2024
Suresh Munuswamy

Data engineering is a growing requirement for healthcare organizations as they work toward value-based care models, health equity and population health.

Data engineering in healthcare is constantly evolving to create solutions for the industry’s most pressing issues: ensuring the safety of frontline workers while maintaining adequate staffing levels during the pandemic; moving toward value-based care models; health equity; and revenue cycle management. In each case, data engineering can play a significant role in developing solutions by integrating data from electronic health records, payer claims and tools that present a comprehensive view of patient information. The following use cases illustrate how data engineering applications are transforming healthcare.

Data Engineering Supports Population Health Strategies

Creating an effective population health strategy requires an...

Today's Sponsors

Today's Sponsor