Speakers: Alexander Alsup, PhD

Alexander Alsup, PhD

Assistant Professor (Research), Department of Biostatistics & Data Science
University of Kansas Medical Center

 

Dr. Alexander Alsup, Ph.D. is a Research-Track Assistant Professor in the Department of Biostatistics & Data Science at the University of Kansas Medical Center.

Dr. Alsup was a founding member of the Kansas Nursing Workforce Center. He and his colleagues at the Kansas Nursing Workforce Center have developed healthcare workforce reports including “State of Nursing in Kansas”, “Access to Maternal Care in Kansas”, “State of Nursing in Kansas, volume 2”. He is currently working on a collaborative report with the Kansas Board of Regents titled “State of Nursing Education in Kansas”.

 

Developing Healthcare Workforce Reports from Multi-Source Data

Healthcare workforce reports are designed to describe workforce supply, distribution, education pipelines, practice trends, and many other related topics. The insights gathered in these reports can then be used to inform policy decisions, guide educational planning, and support health system operations. Developing these reports is fundamentally a data management challenge, requiring acquisition, integration, and validation of data drawn from multiple sources with differing assumptions, structures, and levels of aggregation. This presentation outlines a practical, data-driven framework for developing healthcare workforce reports from multi-source data. The process begins with identifying available data and using that information to define the scope of the report. It then focuses on defining and mapping the features of each dataset to determine how disparate sources relate to each other and whether they are compatible. It briefly touches on how integrated data from disparate sources can tell a valuable story, and lastly it describes how we can define sections of the report based on either domains or data sources. The focus of this process is telling a story with your report that is captivating, while also ensuring honesty and transparency through good data stewardship.