Cindy directs and oversees all aspects of her assigned projects ensuring compliance with registry standards and specifications. She ensures the goals and objectives of each project are met through oversight of her data abstraction teams.
Prior to joining Registry Partners, Cindy worked as a Data Manager for Atrium Health in North Carolina where she managed data abstraction and reporting for general surgery and vascular registries. She has also held positions such as: Clinical Research Nurse, Clinical Director, Infection Control/Quality Measures Nurse and Nurse Manager throughout her professional career.
Cindy earned her Bachelor of Science in Nursing from University of North Carolina – Charlotte. She is a Registered Nurse (RN) and certified as a Surgical Clinical Reviewer (SCR) through the American College of Surgeons, National Surgical Quality Improvement Program.
Cindy resides in North Carolina with her husband and they have one daughter. In her spare time, she enjoys spending time at the beach, boating, and cheering for the Carolina Panthers and Duke University basketball.
Q & A with Cindy:
Q: Why do you believe clinical data registries are so important?
A: Clinical Data registries are important to collect, analyze and trend incidence of patient diseases so that patient care can be improved.
Q: How do you describe your career to friends and family?
A: My career as a nurse began at the bedside and developed into a manager where I coordinated all aspects of patient care. I have had the best experience of managing for emergency, orthopedic,and general surgery patients which gave me the awareness that patient outcomes are key. My role is to help the physician and hospital understand how they can improve the care they give and my new role is to assure they have correct information to make informed decisions about any changes they make.
Q: If you could select one memorable moment that has occurred throughout your healthcare career, what would it be and why?
A: There are many memories that have occurred in my health career! The best is to have data identify an area that needed improvement and suggest a change. And then see that change, cause a direct impact in the data in a positive way.