How Can Data-Driven Decision Making Improve Resource Allocation?
Data-driven decision making can significantly enhance resource allocation. By analyzing data from Electronic Health Records (EHRs), hospitals can identify patterns in patient admissions, treatment outcomes, and resource usage. This information allows for more accurate forecasting of needs and better planning. Additionally, leveraging machine learning algorithms can predict outbreaks of diseases like influenza or RSV, allowing for preemptive allocation of resources.
