Practical Application of Data Analysis

Strengthen your knowledge on how to organize and present population health data, how to cultivate population health data analysis expertise, and the relationship between hospital-based population health data sets and data sets are from external sources.

Walk away with a clear understanding of how to organize and present surgical outcome and preoperative risk assessment data to diverse stakeholders, and the relationship between preoperative risk assessment and risk stratification.

Discover the process of analyzing DNFB data. You will gain a working definition of healthcare informatics and hear suggestions for several techniques which can be used to initiate and improve DNFB data analysis.

This presentation provides a detailed overview of the challenges associated with analyzing date and time data and incorporates important data analysis techniques used to enhance clinical data visualization.

An exploration of the role of health information professionals in the implementation of computerized provider entry (CPOE) system and comparison of multiple perspectives on CPOE from key healthcare decision-makers.

Explore techniques for transferring data from healthcare-related websites to desktop applications for purposes of data analysis. Review the required skillset and the desktop software configuration necessary to successfully implement these techniques.

A demonstration of utilization of data validation techniques to improve information quality and integrity. Places emphasis on data existing in multiple formats, including date/time, numeric ranges, and logical lists.

Gain a conceptual and practical framework for analyzing data contained within the Electronic Medication Administration Record (eMAR) and analyze a series of questions using the converted eMAR.

Focus in on techniques used to organize the underlying data, worksheet construction techniques, data labeling considerations, principles of data validation, and the fundamental rules of dashboard layout.