Assessment 3 Instructions: Reflection on EHR Accuracy, Data Mining, and Clinical Decision Making

Complete three EHR Go activities relating to medication reports, order verification, and risks and clinical warnings. Write a reflection paper (1-page) addressing key lessons learned relating to EHR accuracy and standards, data mining, and legal and ethical considerations surrounding EHR-CDS usage.

Data mining is the process of discovering and extracting patterns within a set of data. Its main goal is to transform data into meaningful information, typically for decision-making purposes. Identifying patterns within data helps to depict the data and to predict future behaviors or patterns. Information such as this helps to improve quality of care, reduce costs, and support organizational services, such as disease management and resource utilization. Historically, conducting this kind of research was extremely labor intensive. With the advent of electronic health record systems and clinical decision support (CDS) systems, health care professionals now have access to large volumes of highly standardized and electronically stored data.

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