Greg A. Ator, MD
Associate Professor, Otolaryngology-Head and Neck Surgery
Dr Ator graduated from Texas A and M with a degree in Electrical Engineering, Cum Laude. He subsequently attended Baylor College of Medicine medical school and went on to do a Residency in Otolaryngology – Head and Neck Surgery at UCLA followed by a Fellowship in Otology – Neurotology, Skull Base Surgery at Baylor College of Medicine. He joined the faculty of KU Otolaryngology in 1992. He became the first Chief Medical Informatics Officer for the KU Health System in 2004. He was Board Certified in Clinical Informatics in 2016.
A personal touch with medical errors, easily preventable with technology, along with his background in digital technology led to work beginning in late 1990’s on bringing an EMR to KU. Logician was first installed in 2003 and subsequently Epic beginning in 2007 as an Enterprise Solution for the ambulatory and inpatient sectors. Since that time his focus has been on improving provider experience with complex technology and putting that technology to work for physicians.
Education and Training
- BS, Electrical Engineering, Texas A&M University, College Station, TEXAS
- MD, Doctor of Medicine, Baylor Colllege of Medicine, Houston, TX
- Residency, General Surgery, University of California Los Angeles Center for Health Sciences
- Residency, Otolaryngology, University of California Los Angeles Center for Health Sciences
- Post Doctoral Fellowship, Neurotology/Otology – Skull Base Surgery, Baylor College of Medicine, Houston, TX
- Other, Clinical Informatics, Oregon Health Science Univ, Portland, United States
Licensure, Accreditations & Certifications
- Clinical Informatics , American Board of Preventative Medicine
- Kansas Medical License, Kansas State Board of Healing Arts
- Missouri Medical License, State of Missouri
- Otolaryngology Head and Neck Surgery , American Board of Otolaryngology - Head and Neck Surgery
Dr Ator is interested in the interaction of healthcare providers and technology and in the human factors that predict a position experience with technology. This includes integrating technical data from the system with qualitative information from users.