2.0

credits

Average Course Rating

Clinical data management is an essential component of evaluating any Evidence Based Practice / Performance Improvement project. A high caliber data management plan and its implementation will provide key stakeholders and decision-makers with the information necessary to make decisions about the value and continuance of each evidence-based intervention. Components of high caliber data management include clearly identified outcomes linked to variables and data sources; appropriate data collected for the purpose of measuring these outcomes; adequate statistical power to determine success of the project; proper data cleaning and manipulation techniques; appropriate statistical methods for measuring the outcomes; and a meaningful presentation of outcomes that addresses the concerns and questions of key stakeholders. The clinical data management course will provide students with the knowledge and skills necessary to develop and execute the data management plan for the capstone project. In clinical data management 1, the data management plan and sample size determination are refined. Data collection for the Capstone project is in the beginning stages and data management focuses on data collection techniques, cleansing of data, and manipulation of data. Data governance is explored in detail and students interpret data governance policy related to their project and distinguish the ways in which they are adhering to their own data governance plan. Students begin the process of exploratory data analysis using data collected to-date. Pre-requisites: NR.210.801, 210.803, 210.896, 210.897 Pre/Co-requisites: NR.210.804, 210.805