Hospital Administrators

Decrease Your Anesthesia Service Operating Costs and Subsidy with Efficiency-Driven Anesthesia Modeling

“The Efficiency Driven Anesthesia Model (EDAM) identifies the optimal distribution of anesthesia providers while maintaining quality and increasing patient access. The model engages both CRNAs and physician anesthesiologists practicing to their full scope of practice, education, and licensure while supporting flexibility to match local demand and financial capacity. This limits duplication of services, improves effectiveness, increases access, and reduces costs.” 1

Massachusetts CRNAs can partner with healthcare leaders to address anesthesia services challenges at the facility level and in the greater healthcare landscape on issues of cost- effectiveness, reimbursement, and workforce development.

In the pages to follow, we wish to share information with hospital and facility administrators about opportunities for cost-efficiency in anesthesia practice and how facilities might consider creative ways to recruit and retain anesthesia practitioners who provide safe, efficient, value- based care.

For more information about safe, quality, and cost-efficient anesthesia practice models contact 407-774-7880 or email [email protected]. Additional resources:


Anesthesia Subsidies – Restraining Hospitals’
Economic Viability

 


AANA Statement on the Most Cost-Effective
and Safe Anesthesia Practice Models

   
   

AANA Statement on Efficiency Driven 
Anesthesia Modeling

 

Consultative/Collaborative Model

   
   


Providers Who Maximize Value

 


Versatile and Cost-Effective Anesthesia Providers

   
   

Anesthesia Facts

 


Estimated Cost Effectiveness for Anesthesia Services

 

First organized in 1940, the Massachusetts Association of Nurse Anesthetists is the state professional association representing over 900 CRNAs and critical care registered nurses who are enrolled in the nurse anesthesiology programs at Northeastern University and Boston College.

1 AANA Statement on Efficiency-Driven Anesthesia Modeling