Collecting Allied Health Workforce Data

The Good, The Bad and The Ugly Purpose is to provide an overview of the lessons learned from collecting allied health workforce data: What have we learned? What has gone well and what hasn’t gone so well? How can you collect workforce data to shape allied health workforce policy in your state?    

North Carolina Providers*: Supply and Distribution by Race (NCIOM)

Race of NC providers compared to NC population Rates of practicing in rural and undeserved areas by race Geographic distribution of underrepresented NC physicians compared to population *providers include physicians, physician assistants and nurse practitioners.    

Creating a Healthy Economy and a Healthy Population

Why We Need to Pay Attention to the Rising Demand for Allied Health Workers in NC How to count allied health workers Why should policy makers care about the allied health care workforce? Allied health job bacancy tracking project What’s needed? Better coordination of allied health workforce development efforts    

Addressing “Stress” in the Health Care Workforce

Human Resources for Health The term “stress” is used to describe conditions where supply trends move differently than they have in the past Workforce problems and solutions Past and current research themes Questions to be asked    

Shaping Health Workforce Policy through Data-Driven Analyses

The Sheps/NC AHEC Collaboration The NC Health Professions Data System (HPDS) Lessons Learned The Challenge: Defining AHEC role in context of declining funding and limited national capacity for workforce planning Moving Forward: Technical Assistance    

Aligning Graduate Medical Education with Surgical Workforce Needs

What changes are needed to better align GME policy to meet the surgical health needs of the US population? Projection of future supply of surgeons for 12 ACGME surgical specialties Cartographic analyses showing geographic distribution of surgery services Synthesis of lessons learned from state-based initiatives to expand GME training