Advantages of event-driven architecture
Conventional approaches to healthcare data often focus first on data cleansing and normalization or denormalization, and moving the data to a single source of truth, such as an enterprise data warehouse or data lake. Unfortunately, the result is stale data—unusable for anything but retrospective analytics. A modern, event-driven architecture reduces reliance on costly applications and supports flexible decisions and actions that can make a difference in treatment, decision making, payment, supply, and more. A few examples of these actions include:
- Identifying patients for integrated care or drug treatment programs
- Creating a patient finder to identify patients with potential diseases
- Quantifying readmission risk
- Understanding fraud, waste, and abuse
- Evaluating drug efficacy based on real-world data
- Integrating personal health records (PHR)
- Benchmarking for risk-adjusted productivity
- Stratifying risk
- Interoperability and data enhancement