Topic 9 DQ 1 Comment 2

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Various data points, such as that from screening tools, are collected by staff and stored in the EMR. Should something arise that requires further attention, such as a missed immunization or a positive suicide screen, an alert pops up in the EMR so that it is addressed appropriately. Additionally, algorithms within the EMR analyze clinical data and alert medical professionals to potential medical issues, such as infection, poor nutrition, or venous thrombosis-embolism (VTE) risk alerts and admission, discharge, and transfer alerts. This data helps to address potential issues, such as infection, before they become outbreaks; prevent other issues before they occur, such as VTE; and streamline care coordination and reduce risk of readmission (Monica, 2018). Several specific interfaces, or dashboards, also exist within the EMR that allow health professionals to view aggregate data and analyze trends for specific measures: for VTE prevention, for instance, risk management or any other heath professional may analyze risk level, recommended prevention measure, actual prevention measures ordered, and contraindications for all patients or any subset of patients within the organization; similar dashboards exist for infection control and case management. Such tools assist with disease surveillance, outbreak investigation, and root cause analysis. Within case management, such dashboards help to identify those who are uninsured or underinsured; have pending discharge needs, such as durable medical equipment, insurance authorization, or housing needs; or need to be set up with a primary care provider or specialist prior to discharge. Finally, EHR data is used to aid in public health reporting and surveillance at local, state, and national levels through various registries (The Office of the National Coordinator for Health Information Technology, 2019), including reportable communicable disease, cancer, trauma, and immunization registries.

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