The Health Workforce Minimum Data Set (MDS): What You Need to Know
Learn about the Minimum Data Set (MDS) questions on demographics, education, and practice and how to effectively use MDS data to support health workforce planning efforts.
Using Employer Surveys to Assess Health Workforce Demand
Effective health workforce planning requires a basic understanding about the supply and demand for health workers. This webinar presents strategies used in three states—Florida, New York, and California—to monitor demand for health workers using employer surveys.
Health Workforce Minimum Data Set: : Asking the Right Questions
Timely and reliable data about the health workforce is critical to effective health workforce planning. The Health Workforce Minimum Dataset (MDS), developed by the National Center for Health Workforce Analysis, provides guidance on key variables to include in health workforce surveys, including demographic, educational, and practice characteristics. This presentation provides an overview of the MDS,…
Community Health Planning: Theory and Practice
States require community health assessments at a county or at a public health district level to identify population health needs and ultimately develop strategies to address those needs. Under the ACA, hospitals are now required to develop community health assessments to maintain their not-for-profit status. This webinar describes the steps to develop a community health…
Building a State Health Workforce Center: Lessons Learned in the Carolinas
Linda Lacey has been involved in the start-up of two different health workforce centers; one focused exclusively on the nursing workforce in North Carolina and another with a broad focus on all health workforce groups in South Carolina. Through those experiences she has become familiar with the trials, tribulations, and rewards of developing an effective…
Data, Methods, and Tips for Health Workforce Supply and Demand Modeling
This webinar delves into alternative approaches to health workforce supply and demand modeling at the national, state, and local levels. Also discusses data and methods, and tips/best practices to help ensure study success. The presenter shares lessons learned over 20 years of health workforce modeling.
How Can We Transform the Workforce to Meet the Needs of a Transformed Health System?
Much discussion is underway about how to align payment incentives and new models of care to achieve the triple aim of improving population health, lowering cost and enhancing patients’ experience of care. Often overlooked from this discussion is how to align the workforce—particularly the 18 million workers already in the health system—to meet the needs…
Health Professions Regulation in the US: What Are the Issues?
In the US, the primary responsibility for health professions regulation falls to states. There is concern that this approach is not well-suited to respond to the workforce challenges faced in a health care delivery system that is undergoing rapid transformation. This webinar describes the aspects of health professions regulation that constrain effective and efficient use…
Opportunity for State Health Workforce Data Collection: Motivations, Barriers, and Strategies
This webinar discusses opportunities and challenges that states face in collecting health workforce data for use in understanding patterns in supply and distribution, informing policy decisions, and engaging in health workforce planning. The presenter also discusses common barriers to developing data systems and different strategies for collecting state data. At the end of the webinar…
Why don’t different data sources match?
There are multiple approaches to collecting data and data are often collected for different purposes. As a result, it is important to understand the methodology behind each dataset and its intended use in order to make valid comparisons. For example, the Bureau of Labor Statistics Occupational Employment Statistics collects data from employment surveys; the data…