STANDARD COMPETENCIES

 

 1 Evaluate trends in technologies, strategies and current practices for data gathering, analysis and reporting in healthcare settings

 2 Develop appropriate metrics and processes to obtain data supporting clinical, operations and financial decisions, and analyze their

        potential impacts on the healthcare organization

 3 Demonstrate understanding of various tools used for reporting to national/government programs (SAS, VAERS, MAT, QDM, PromisCat)

 4 Analyze different practices for making analytics-based decisions in healthcare, including descriptive, predictive and retrospective analytics

 5 Discuss issues that relate to accuracy, integration and completeness of data sets

 6 Identify, evaluate and apply appropriate tools and techniques to analyze a given data set for specific outcomes,

        and create visual representations of data that convey information clearly and effectively (quality management, utilization management,

        risk management and other patient care-related studies)

 7 Discuss ethical issues as they relate to application of data analytics in healthcare, including privacy and incidental findings

 8 Develop reports and presentations summarizing analytics results for stakeholders with varied backgrounds and expertise

 9 Discuss ways in which data presentation can be deceptive

 10 Demonstrate how trends in healthcare practices, customer expectations, and regulations are impacting the applications

        of analytics to various healthcare settings

 

 

 

 TOPICAL OUTLINE

 

 I. Usability of Electronic Health Records

 II. Data and Data Analysis (Publicly available data and the use of SAS)

 III. Data Validity

 IV. Quality Data Model

 V. Health Quality Measure Format (HQMF) and Measure Authoring Tool (MAT)