DIRECT DIFFERENCE TEAM

Holly Rotan MSN, APRN, AGACNP-BC

Nurse Practitioner | Clinical Data Specialist & Account Manager

Holly Rotan is an experienced healthcare professional with a diverse clinical background spanning emergency medicine, trauma, hospital medicine, critical care, and healthcare quality improvement. She brings a unique perspective to clinical data abstraction through her combination of advanced clinical practice, quality expertise, and direct experience with complex inpatient care.

Holly earned her Bachelor of Science in Nursing from the University of South Carolina and began her nursing career in emergency and trauma care. Following eight years of emergency nursing, she transitioned into a quality-focused role supporting the implementation of sepsis as a CMS Core Measure. As team lead for her hospital’s sepsis committee, she helped develop processes to support measure compliance and led provider education focused on sepsis recognition, documentation, and evidence-based care.

In 2015, Holly earned her Master of Science in Nursing and began practicing as an Acute Care Nurse Practitioner.

Her advanced practice career has focused primarily on inpatient medicine, including hospital medicine and critical care in the ICU at Cleveland Clinic Florida. Her clinical experience provides a valuable understanding of the connection between bedside care, clinical documentation, quality measures, and regulatory requirements.

In addition to her clinical practice, Holly serves as an Account Manager and Clinical Data Specialist with Direct Difference, working with healthcare organizations and abstraction teams to support accurate data abstraction, measure compliance, validation, education, and performance improvement. Her clinical background enables her to collaborate effectively with physicians and clinical teams and to provide documentation and quality education that is practical, relevant, and actionable.

Holly brings to Direct Difference a combination of advanced clinical expertise, quality improvement experience, and a strong understanding of clinical documentation and quality measurement. She views clinical data abstraction not simply as data collection, but as an opportunity to identify meaningful performance gaps and support improvements in patient care and clinical outcomes.