Data Mining and CDS Functions
HIM4650 Decision Support and Quality Management in Health Information Management.
Unit 5 Assignment
Data Mining and CDS Functions
In your role as a data analyst, you will respond to the clinical management team’s interest in the use of data mining with CDS system functions. Data mining is a process of discovering and extracting patterns within a set of data. The main goal of data mining is to transform data into meaningful information, typically for decision-making purposes. Identifying patterns within data can help provide a depiction of the data, as well as predict future behaviors or patterns. This information can be valuable in improving quality of care, reducing costs, and supporting organizational services such as disease management and resource utilization. As the data analyst, consider how to use data mining as a means of ensuring the system is up-to-date and properly functioning.
Instructions
Complete the activity Medication Report. You will enter your answers directly into the Word document and insert your medication report into the document as well. Your completed document must meet the following criteria:
Create a medication report.
Describe how EHR CDS functions help create reports based on the patient chart information.
Describe how data mining can be used to assist with measuring the accuracy and efficiency of clinical decision support systems.
Explain the role of data mining in generating reports.
Using a medication report, make a recommendation for EHR-CDS functions, as a tool to support effective clinical decision-making
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